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Tag Archives: Want

Hello, I want to create a matrix with a certain number of rows and columns

December 6, 2020   BI News and Info

 Hello, I want to create a matrix with a certain number of rows and columns

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Want help with proving a calculus theory

September 6, 2020   BI News and Info

 Want help with proving a calculus theory

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Why Do You Want To Be Cloud Native?

August 21, 2020   TIBCO Spotfire
TIBCO Cloud Native 696x365 Why Do You Want To Be Cloud Native?

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“Why do you want to be cloud-native” may sound like a silly question to ask in 2020, but it’s something all modern digital businesses need to think about. 

At no point do we suggest that you shouldn’t be thinking about a shift to the cloud. You may already be well on your way, so you’ll already have the answer to this question. But, if you are still considering making the shift, you need to consider the reason to go cloud-native, otherwise known as the “why”. The “why” will help your organization anticipate any costs, problems, and challenges that you are going to meet along the way.

The place to start is to ask your organization why they are looking to make the shift to the cloud in the first place. There has to be a business benefit to go cloud; and it’s not just so your IT team can play with the latest tools. Maybe you have a system that works perfectly that can benefit from cost savings by “lifting and shifting” to the cloud, or maybe you no longer want the pain of maintaining bespoke systems when specialty SaaS platforms will support the business much better into the future.

The place to start is to ask your organization why they are looking to make the shift to the cloud in the first place. There has to be a business benefit to go cloud. Click To Tweet

The “why” will also determine the course you take to achieve cloud nirvana. Achievable, pragmatic plans are far more likely to succeed than jumping headfirst into the latest technology to stay ahead of the curve. That said, be prepared to justify and answer the “why” for the solution that you choose. And certainly, consider if you want to be a business that uses IT or an IT shop along the way.

So now that you know your “why”, you need to determine the “what”, “where”, and “how”. Your “what” could be that shiny new SaaS system or it could be taking advantage of the years of investment that deliver your competitive advantage. “Where” could be anywhere from private cloud to hybrid cloud that’s deployed across multiple regions and cloud providers. The “how” will hugely depend on where you are today and what of your existing investments you want to preserve. Can the functionality you have today be repurposed, wrapped in APIs, or just rehosted? But whatever you do, you will most likely want to unleash the value of your data assets. Moving the processing and collation of that data to near real-time, and making it available across all of your new cloud applications opens up a number of future opportunities.

More than anything else, remember your overall business goals and objectives. Evaluate what it needs the most to succeed today—and tomorrow.

We have recently published a paper that talks about some of the aspects you should consider and plan for if you want to reap the rewards of truly being cloud-native. Download a copy to ensure that you embark on an achievable cloud-native journey that delivers business benefits and adds value to your customers or services.

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So, You Want to Be a DBA…

August 14, 2020   BI News and Info
SimpleTalk So, You Want to Be a DBA…

When did you begin to think that you might want to be a database administrator? Maybe you worked in another arena of IT and found the work of a DBA interesting. Perhaps you heard someone talking about it in a boot camp and wanted to find out more. Maybe you know you want to work with SQL Server, and being a DBA sounds interesting, but you are not sure what a DBA actually does, much less how to prepare to be one. I’m here to help!

For me, the ZOMgoshThisIsWhatIWannaDo moment came when I was in college. I had returned to school to finish off a long unfinished bachelor’s degree in the medical field. I originally thought to stay in my chosen profession, but I took one Informatics course and fell in love. I had a conversation with a counselor about my aptitude and possible career paths I could pursue, and just like that, I changed my major from a profession in the medical field to Computer Science Technology. Of course, part of the graduation requirements was to take a couple of database classes. A former DBA taught both classes. One focused on beginning TSQL and database administration, and the other focused on data warehousing.

Most of the other students I was in classes with had many years of real-world IT experience; the degree was a formality for them. A couple of them could have taught the classes we were taking. By contrast, I had absolutely no IT background. I had just finished my first programming course, where I had mastered Console.WriteLine(“Hello World”);. I had never even touched an Access database, let alone SQL Server. I was morally certain that this would be the most difficult class I would ever take. I would be lucky to pass. It was terrifying.

To my surprise, when the professor began to teach, I found that everything made sense to me. I thought that I could do this – and love it. At the end of that first class, I knew that I wanted to be a DBA. I asked my professor how to make that happen. He kindly offered to mentor me, while I started learning everything I could about SQL Server, TSQL and database administration on my own. He introduced me to people who helped me, who gave me advice, and when I thanked them, one of them told me, “One day, you’ll be in my position. Pay it forward.”

So this is me, paying it forward to you. Let’s talk about what database administrators do, ways to pursue that goal, and their pros and cons.

What Does a DBA Do, Anyway?

What does a DBA do (besides “work with databases”)?

Have you ever asked that question? You may have found (as I did) that the answers are as varied as the number of people you ask. That is because it’s a big question, with several possible answers. Many DBAs specialize in one thing or another. Some love performance tuning, while others excel at hardware or server migration. Still, others gravitate to areas like high availability, development, or security.

Here is mine: At its simplest definition, whatever road your career takes you to, DBAs are the guardians and facilitators of the company’s data. In other words, at the very least, your job is to ensure that the right data gets to the right person, as quickly as possible.

This is no small responsibility! Think for a moment about what the company’s most valuable asset is. Its building? Its money? Its contacts? Nope. The company’s most valuable asset is its data. If the data is wrong or missing, watch how quickly those other things take wings and fly. Paul Randal of SQL Skills tells the story of the unfortunate bank who had a corrupted database (which had been further plagued with an inefficient backup/restore strategy). Miraculously, all the data was restored. The bad news is that the restore process ended up taking 3 days, during which time the bank lost the confidence of its customers. The bank ultimately wound up closing.

That story wasn’t told to scare you (although to be honest, it scares me every time I think about it). I told you the story because it underlies a crucial point. As a DBA, where the data is concerned, you are the line in the sand. What you do makes all the difference to the company you work for. You are the protector of that data, and you are the one who ensures that it is ready for whoever should have it.

Having that mindset means that you will view everything with new eyes. You will read – and write – code differently. Developers write code to retrieve data for the business. You will write it with an added vantage point of How do I get this data without setting my server(s) on fire? You will think about security differently. When a vendor says the service account needs sysadmin privileges (or a business user does), you will understand that really means that account or person can totally mess up your entire server – not just the database that they are supposed to be able to access. When the Infrastructure person swears that they don’t understand your latency issues — nothing bad is happening on the servers and IO is fine — you will understand there may be a bottleneck between the OS and SQL Server that is, in fact, not fine. When your CTO wants a SQL Server instance, but there are budgetary constraints as to what they can spend for their business needs, you will be able to present options in order to provide the best fit.

Does this sound challenging? It is. You will never be bored. You will be learning for the rest of your life. If that sounds good to you, let’s talk about pathways you can take to reach your goal. Later articles will l discuss all the basics from backups to security to internals. By the time you’re done, you will be better prepared to decide what aspect of database administration you want to specialize in and how to get there.

I hope you enjoy this guide. And I welcome you to the ranks.

Preparation Paths

The good news is the SQL community is one of the friendliest, most helpful IT communities out there. There is a wealth of resources to help get you up to speed. The bad news is that database administration can be difficult to break into. You’ll find that most companies want experience. It can be a lot like actors and SAG cards – it’s extremely difficult for an actor to work without a SAG card, yet they must show experience to get one. It can be hard to get that first break – but not impossible! Here are a few different avenues of achieving your dream.

University

The Pros:

  • You will probably be exposed to a multitude of IT arenas, which can widen the scope of your understanding when you enter the field.
  • Some employers view the Bachelor’s degree as a plus – you have proven that you can be taught and deliver a professional grade product.
  • Completion of a four-year program shows the degree of your commitment and the quality of your work ethic.
  • You may be able to score an internship that will allow you to gain actual experience toward getting a paying job.

The Cons:

  • You will get a surface-level exposure to so many of the aspects of IT, but you may not get much depth on any of them. I have mentored and spoken to university students who were taught outdated syntax, and who hadn’t progressed beyond simple JOIN statements in school.
  • Attending university for a job like this is a gamble. The student loan debt is considerable. You will need to be hired quickly after graduation to have the best chance of a good job, or prospective employers may wonder why you weren’t snatched up already. The longer you go without being hired, the more outdated your education becomes. Your chances of being hired as a DBA right out of school are low, so you need to be prepared to look at jobs that will allow you to work over into the field – or to break in at all. The quality of education does improve at the post-grad level, and of course, all of this information is contingent on the school you attend.

Technical School

The Pros:

  • Hands-on education. This is a big plus. I know of employers who are more likely to give a job offer to a technical school graduate for that reason – they are more likely to hire someone that can be brought up to speed faster.
  • Technical schools frequently use certifications as part of their program. They are completed in less time than a university and with far less expense.

The Cons:

  • Credits may not transfer to a college/university, should you decide to further your education.

Code Boot Camp

The Pros:

  • An intensive, hands-on experience geared to bring you up to professional-grade quickly. Classes are frequently held in the evenings, making it an ideal choice for people seeking to change professions. In the better programs, you will be mentored by someone who is already working and established in the profession and provided with internship opportunities.
  • Program lengths vary between 1-2 years, depending on your proficiency.
  • Often offered for little or no cost.

The Cons:

  • There is no accreditation process and little oversight, so it will be up to you to do the homework before you enroll. I have seen boot camps “guarantee” their students a job, collect hundreds of dollars, and while the students may have some skills after completion, there is no “guaranteed” job to show for it. Look for well-established and vetted programs like LaunchCode or TechHire (if you live in the US), who partner with local corporations to provide students with internship opportunities. If LaunchCode isn’t in your area, look it up and use it as the yardstick if you need to stay and train in your immediate geographic location.

Mentorship/Career Crossover

The Pros:

  • Career crossover is perhaps the most frequent path to database administration, and it can be invaluable. You begin in a field that holds your interest, such as being a developer or working in infrastructure or SAN administration and find someone willing to teach you. You leverage your existing experience to work over to database administration. Along the way, you gain background knowledge in TSQL or Windows internals that will serve you well in your new career. Best of all? You don’t pay a fee to do it.

The Cons:

  • You may get “stuck” in your position and find it difficult to cross over.
  • You may have difficulty finding a mentor to help you.
  • It will likely take at least two years (if not more) to make that crossover.

Blogs/Online Resources/User Groups/Conferences

The Pros:

  • There are a wealth of blogs out there to help you widen your understanding – for free!
  • Not free, but frequently less expensive than a university or technical school, are online courses such as PluralSight. Consulting groups such as SQLSkills and Brent Ozar offer some great online instruction as well. They are more expensive (ranging from $ 1000+). I have taken courses from all the resources I have mentioned here and cannot speak highly enough of their quality.

Consider joining your local SQL Server user group – even if you are not working yet, and some of it sounds like a foreign language. Get as involved as you are able to. You never know; you may find your mentor here! There are free or very low-cost online and onsite conferences such as SQLSaturday or EightKB that will help you to continue your learning. The onsite conferences allow you to network as well.

The Cons:

  • Most of these resources typically work better for the crossover/accidental DBA than for someone preparing to enter the field. However, I still recommend reading as many blogs as you can. In fact, “Whose blogs do you read?” has been a common interview question I ask. It isn’t a deal-breaker if the candidate can’t rattle off a bunch of names, but it is a plus if they know a couple. To me, it shows a level of interest and a passion that can be a sign of a potentially great hire! The people who write these blogs have something to teach, and they are offering their experience freely. You’ll quickly figure out the best ones. Start with the blogs written by Microsoft MVPs or MCMs, and the more you read, the more you will branch out and find others.

As you have probably concluded by now, there are pros and cons to every pathway leading to database administration. Still, every one of them is an opportunity, and there is nothing to say that you need to take just one; you may well decide to combine some of these.

Did all that work pay off?

After reading all of that, you may be wondering: how did it turn out for me?

I took the university/mentorship path, and I read as many blogs and books as I could before I started looking for work. My mentor introduced me to people who gave me advice, which was much needed because I hardly knew where to begin. So, I have a degree. Do I pay to get certifications? (Answer: No. Concentrate on getting hired. Then you can think about certifications if you want.) Remember, backups are your firstpriority and other things like that.

I started applying for jobs in my last semester of school. An internship wasn’t a viable option for me as I had a child to support, or I would have jumped at it. I applied for DBA jobs, and I applied for jobs that I hoped would let me work over to becoming a DBA. I had my first technical interview and bombed it. I was so discouraged at how much I had to learn! I applied to another company to do report writing. I applied for developer jobs, and I applied for help desk jobs – anything that would get my foot in the door. I applied at so many companies that I have since lost track.

I interviewed at yet another company to be a developer and quickly saw that the degree of experience they needed was not something that I could provide. Not wanting to waste their time, I told them how much I had enjoyed talking to them, but it seemed clear that they needed someone with much more experience than I had. They (of course) very kindly agreed. I wished them well in finding the right fit. I hung up and started scaring myself about doing all this work to get a degree, which might soon go to waste if I couldn’t find a position.

Then, a week or so later, I heard from the recruiter who had set up the developer interview. He acknowledged that I wasn’t a fit for a developer, but said the interviewers had very much enjoyed speaking with me and wondered: would I consider speaking to the DBAs about possibly joining their team?

Cue the sunbeam shining through the clouds to a backdrop of Beethoven’s Ode to Joy. Would I?

I was incredibly fortunate to have that very rare opportunity to start as a DBA right out of school. I had two fantastic teachers, who came at teaching SQL Server from very different vantage points. One was very “wax-on, wax-off” in his approach, and then would take you deeper. The other began in the weeds and then scoped out. Between the two of them, I received a real education. I learned more in three months of work than I did from three years of university attendance. I worked with SSMS, SSRS, SSIS, TSQL, and did deployments, query optimization, and troubleshooting. To say that my brain hurt was an understatement, but I loved what I did. I love it still.

Conclusion

Since getting that first DBA job, I have had the chance to work with DBAs who took other paths: I have worked with crossover DBAs and those who did the boot camp route. They are all outstanding at what they do. In the end, getting the job takes resourcefulness, an ability to think creatively, persistence – and luck. When all those factors come together and you begin to work, what you make of your career is up to you.

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Google AI researchers want to teach robots tasks through self-supervised reverse engineering

May 26, 2020   Big Data

A preprint paper published by Stanford University and Google researchers proposes an AI technique that predicts how goals were achieved, effectively learning to reverse-engineer tasks. They say it enables autonomous agents to learn through self-supervision, which some experts believe is a critical step toward truly intelligent systems.

Learning general policies for complex tasks often requires dealing with unfamiliar objects and scenes, and many methods rely on forms of supervision like expert demonstrations. But these entail significant tuning; demonstrations, for example, must be completed by experts many times over and recorded by special infrastructure.

That’s unlike the researchers’ proposed approach — time reversal as self-supervision (TRASS) — which predicts “reversed trajectories” to create sources of supervision that lead to a goal or goals. A home robot could leverage it to learn tasks like turning on a computer, turning a knob, or opening a drawer, or chores like setting a dining table, making a bed, and cleaning a room.

“Most manipulation tasks that one would want to solve require some understanding of objects and how they interact. However understanding object relationships in a task-specific context is non-trivial,” explain the coauthors. “Consider the task [making a bed.] Starting from a made bed, random perturbations to the bed can crumple the blanket, which when reversed provides supervision on how to flatten and spread the blanket. Similarly, randomly perturbing objects in a clean [or] organized room will distribute the objects around the room. These trajectories reversed will show objects being placed back to their correct positions, strong supervision for room cleaning.”

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 Google AI researchers want to teach robots tasks through self supervised reverse engineering

TRASS works by collecting data given a set of goal states, applying random forces to disrupt the scene, and carefully recording each of the subsequent states. A TRASS-driven agent explores outwardly using no expert knowledge, collecting a trajectory that when reversed can be used by the agent to learn to return to the goal states. In this way, TRASS essentially trains to predict the trajectories in reverse so that the trained model can take the current state as input, providing supervision toward the goal in the form of a guiding trajectory of frames (but not actions).

At test time, a TRASS-driven agent’s objective is to reach some state in a scene that satisfies certain specified goal conditions. At every step the trajectory is recomputed to produce a high-level guiding trajectory, and the guiding trajectory decouples high-level planning and low-level control such that it can be used as indirect supervision to produce a policy via model and model-free techniques.

In experiments, the researchers applied TRASS to the problem fo configuring physical Tetris-like blocks. With a real-world robot — the Kuka IIWA — and a TRASS vision model trained in simulation and then transferred to the robot, they found that TRASS successfully paired blocks it’d seen during training 75% of the time and blocks it hadn’t seen 50% of the time over the course of 20 trials each.

TRASS has limitations in that it can’t be applied in cases where object deformations are irreversible, for example (think cracking an egg, mixing two ingredients, or welding two parts together). But the researchers believe it can be extended by using exploration methods driven by state novelty, among other things.

“[O]ur method … is able to predict unknown goal states and the trajectory to reach them,” they write. “This method used with visual model predictive control is capable of assembling Tetris-style blocks with a physical robot using only visual inputs, while using no demonstrations or explicit supervision.”

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Want to get more from your data? Stop focusing on efficiency

February 23, 2020   Big Data

Ever since Henry Ford came up with the idea of using moving assembly lines to build automobiles faster at lower cost and at higher quality, efficiency has been the driving force in industry.

Unfortunately, it’s the wrong approach for modern businesses. We’re no longer in an industrial economy. Today, information powers our world. Efficiency drives profit in the short term, but making it your primary focus doesn’t drive innovation; it opens the door for competitors to provide something better.

Despite this, we’ve applied the efficiency mantra to almost every aspect of business. The primary use of data in many organizations is to cut costs and increase profitabilty for existing products. Dashboards and reports are really tools to answer questions like: Where is our process breaking? Which parts of our business are the least efficient? Where can we reduce cost? Data is the language of that conversation.

But the focus on efficiency is limiting. Businesses have more opportunities in environments of plenty, fewer in environments of scarcity. Most businesses today exist in a world of plenty: We have new ways to reach customers, like smartphones, chatbots and global logistics networks, and more ways to innovate, like machine learning, 5G, and an abundance of data and cheap processing power.

Using fewer resources, which is the focus of an efficiency program, makes us lean and mean, but it doesn’t provide fertile ground for growth. It can even be counterproductive. Call times can only be so low while still maintaining acceptable customer service. After a certain point, productivity gains are offset by quality issues.

 Want to get more from your data? Stop focusing on efficiency

Does this mean we should throw efficiency off a cliff? Obviously not. But using data smartly can provide the best of both worlds. Efficiency is appropriate for non-differentiating, mature cost centers, but it shouldn’t be the prevailing corporate philosophy. To succeed in today’s fast-moving tech landscape, the focus has to be innovation.

That’s all well and good, but how do we apply data to drive innovation instead of efficiency? I have three recommendations.

Think outside your business

Data isn’t just for internal stakeholders. Increasingly, companies realize that providing data externally is a vital part of their business. Whether it’s providing billing detail to business customers, transaction detail to consumers, or performance data to vendors, data is increasingly a differentiator. Making it available externally is a great first step away from an efficiency focus.

Get data to business users, not just technical users

Historically, access to data has been limited to technical people who speak the language of data, but these are rarely the same people who own the business outcome. Business users need wider access to data, which will allow them to think of new uses that only they can identify because they understand the customers and the business.

Opening up access to data is becoming easier. Modern analytics tools allow non-technical users to experiment with data in creative ways. To enable this, make sure the people who can innovate with data have access to it — not just the analysts.

Optimize for maturity, innovate for growth

It’s important to distinguish among different parts of the business. Efficiency should be applied in the mature areas. Use data to identify segments that have slow or declining growth and apply efficiency there. Everything else should be managed through the lens of innovation.

That applies especially to areas of differentiation — and these can vary even within the same industry. For example, a bank may view its customer call center as simply a cost center, so outsourcing those services may be appropriate. Another bank may see customer service as its competitive advantage. It should use data to identify its best customers, predict their future value, and route them to the best agents.

We’re in a remarkably different economy from the world of Henry Ford. His laser focus on speed and cost were appropriate at the time, and still are for some traditional industries. But for most of us, innovating quickly is a prerequisite to survival. That means loosening the chokehold that efficiency has on our thinking and making data-driven innovation the driving force in business.

Doug Bordonaro is Field CTO at ThoughtSpot.

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Researchers want to use Mega Man 2 to evaluate AI

December 26, 2019   Big Data

Games have long served as a training ground for AI algorithms, and not without good reason. Games — particularly video games — provide challenging environments against which to benchmark autonomous systems. In 2013, a team of researchers introduced the Arcade Learning Environment, a collection of over 55 Atari 2600 games designed to test a broad range of AI techniques. More recently, San Francisco research firm OpenAI detailed Procgen Benchmark, a set of 16 virtual worlds that measure how quickly models learn generalizable skills.

The next frontier might be Mega Man, if an international team of researchers have their way. In a newly published paper on the preprint server Arxiv.org, they propose EvoMan, a game-playing competition based on the eight boss fights in Capcom’s cult classic Mega Man 2. As they describe it, competitors’ goal is to train an AI agent to defeat every enemy and evaluate their performances by common metrics.

Why Mega Man 2? The paper’s coauthors assert that few other environments test an AI’s ability to win against a single enemy, or how well an AI generalizes to win matches against waves of enemies or coevolves to create increasingly difficult enemies. To this end, in EvoMan, an AI-controlled Mega Man — a robot equipped with a powerful arm cannon — must beat eight so-called Robot Masters equipped with different weapons. Every time a Robot Master is defeated, the agent acquires its weapon, making it easier to defeat the bosses who remain.

 Researchers want to use Mega Man 2 to evaluate AI

Above: A table of scores achieved by an agent in the EvoMan benchmark.

Image Credit: EvoMan

As proposed, EvoMan challenge entrants would train their agents on any four enemies and measure how well their learned strategy scales up to a whole set of enemies. The agents would be expected to learn how to identify and react to general patterns like avoiding being shot or shooting at the direction of the enemy, and to deplete an enemy’s health from 100 energy points to 0 by the end of each match.

“The main goal of this competition is that a given agent perform equally good for every boss,” wrote the coauthors, who suggest that competitors be ranked by the mean of performances across bosses. “The winner … will be the one agent that performs equally well on each one of the eight bosses, hopefully defeating them all.”

Atari titles and Mega Man 2 are far from the only games against which AI has been trained and evaluated. In July, a paper published by Facebook researchers posited that Minecraft was well-suited to refining natural language understanding algorithms, and both OpenAI and Google parent company Alphabet’s DeepMind have fine-tuned systems on Valve’s Dota 2 and Activision Blizzard’s Starcraft 2. Separately, scientists at Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications, and the University College London are developing LIGHT, an open source research environment in the form of a large-scale, crowdsourced text adventure within which AI and humans interact as player characters.

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Apple Digital Masters want to help you stream studio quality audio

August 21, 2019   Humor
148903 apps news apple digital masters wants to help you stream studio quality audio image1 umehl39awa Apple Digital Masters want to help you stream studio quality audio

One of the huge reactions of music administrations is quality. Particularly for the individuals who need to tune in on quality Hi-Fi gear at home. Apple is quick to ensure you’re getting the best music you can with the Apple Digital Masters program.

Supplanting what was recently known as Mastered for iTunes. Apple Digital Masters expects to remaster the first craftsman accounts with the goal. That audience members show signs of improvement experience from their music.

Apple says that it’s Digital Masters are “practically unclear” from those unique bosses. So, Giving a scope of acing instruments for makers, craftsmen, and marks to enable them to put the best quality they can into Apple’s biological system.

Apple Digital Masters

Apple Digital have gradually been taking off, supplanting tracks in Apple’s advanced index with new 24-bit AAC records. These new records ought to have higher loyalty, with less commotion that may have been presented through a lower quality encoding process, so they sound better when they get to your ears.

There’s a great deal of data on how the procedure functions directly here (pdf), so in case you’re an audiophile or music lover, you should investigate what’s happening.

Apple says there’s no extra expense for Apple Digital Master, it’s simply part of the way toward improving the nature of the music that Apple offers from Apple Music spilling and iTunes downloads.

Apple Digital Masters Wants To Help You Stream Studio Quality Audio picture 2

“The sound quality is mind-blowing! The piano is the hardest instrument to get right and this sounds stunning,” said Lang. And you’ll see that Piano Book is an Apple Digital Master, so an extraordinary method to encounter the quality yourself.

You’ll additionally discover the Apple Digital Masters logo showing up on Apple gadgets in different spots. We’ve seen it in iTunes against certain collections on the Mac and in the Music application on the Catalina beta. For instance, so it ought to be simpler to distinguish higher quality music – and there’s a considerable amount of it out there.

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Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization

July 15, 2019   TIBCO Spotfire
DataDemocracy 696x464 Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization

Setting up a system to govern your data is crucial to ensure your organization runs smoothly. Just as the democratic system helps the American government function, you need data democracy to handle the demands of today’s digital world. 

It’s essential that companies today understand the importance of data democracy and how to implement it. That’s why I decided to discuss how to Democratize Analytic Data with TIBCO® Data Virtualization (TDV) with Stephen Archut, Senior Product Marketing Manager for TDV at our TIBCO NOW Chicago breakout session.

Today, organizations require massive amounts of data. They need it to transform their customer engagement to delight and retain their customers, to re-engineer their R&D  and get new products to market faster than their competition, and to optimize their business processes for quick market responsiveness. 

Digital companies rely on an informed citizenry, data for everyone in the organization, but what’s driving this growing need?

What’s Driving Data Democracy?

In today’s discussions around data, we call this “data democracy.” This trend has been growing rapidly and is primarily driven by these three massive business and technology shifts:

  1. The “self-service BI” revolution: Part of this impressive growth has been caused by the initial and  pervasive use of Excel and a new generation of powerful visualization tools such as TIBCO Spotfire®. These tools have greatly expanded the analytics user counts from a limited IT team to nearly every professional at large organizations. With these tools, anyone can be a business analyst. To succeed, these millions of empowered users not only need easy data access, they expect it.  
  2. Insights as competitive advantage: Digital transformation is changing how businesses compete and win in today’s market. Whether the strategy is better customer experiences, faster time to market, or leaner business processes, data is the common fuel powering these massive transformations. And thus, data has become more important than ever.
  3. Data is everywhere, yet nowhere: With the advent of big data, the Internet of Things (IoT), the cloud, and other technologies, data today is now distributed far beyond tightly controlled databases and warehouses. While these technologies are allowing firms to capture, process, and store more data than ever before, according to research by the Harvard Business Review and analyst firm IDC, organizations today struggle with using the data. Using less than half of what they have, gaining access to more than they need, and generally spending four hours finding and accessing data for every hour spent analyzing it, organizations need help with their current data strategy.   
 Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization
Results from Harvard Business Review study on data strategies 

Want Data Democracy? Vote for Data Virtualization!

At a glance, the concept behind data virtualization is not complicated. It’s all about hiding IT’s complexity to make data easier to use. It’s about making multiple, disparate data sources appear as one virtual source, independent of underlying structure and storage. 

This is why according to leading analyst firms data virtualization demand is exploding.

“Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. These platforms deliver faster access to connected data and support self-service and agile data-access.” 1

“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture.” 2

As enterprise-grade middleware, TIBCO® Data Virtualization provides the data access, federation, transformation, and delivery that organizations need to provide secure, consistent, governed data at data democracy scale.   

 Want Data Democracy? Enterprises Vote for TIBCO Data Virtualization
How TIBCO® Data Virtualization provides capabilities companies today need

During its 2018 TIBCO NOW presentation, Open Data Access for Everyone: Transforming with Data Virtualization, MetLife described how it was using TIBCO® Data Virtualization to empower everyone at the company with access to nearly all its internal and external data, excluding regulated data. In less than a year since the initial purchase, it has delivered over 25 data-driven solutions and was well on its way toward true data democracy.

How Will You Vote?

If like others, you too are seeking the business value data democracy can unleash, then make a vote for TIBCO® Data Virtualization.  

To learn more, please check out the many resources available on the TIBCO®  Data Virtualization homepage.

Join us for the final stop of the 2019 TIBCO NOW Global Tour in London September 25-26 to discover more ways to fuel innovation through digital transformation.

1.     The Forrester WaveTM: Enterprise Data Virtualization, Q4 2017  The 13 Vendors That Matter Most And How They Stack Up by Noel Yuhanna. November 15, 2017

2.     Gartner -Market Guide on Data Virtualization. 2018  by Ehtisham Zaidi, Mark A. Beyer, Ankush Jain. November 16, 2018

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Want to Build A Stronger Marketing Team? Try Volunteering

May 3, 2019   CRM News and Info
Volunteering Mktg Team Feature Want to Build A Stronger Marketing Team? Try Volunteering

Regardless of our line of work, most of us want to feel that we have a sense of purpose and are somehow contributing to the betterment of the world. Measuring our impact, however, is difficult to do for us not directly involved in community-oriented work. That might be just why more and more companies are getting on board with volunteer programs and similar initiatives.

Creating a culture of giving back does more than just boost employee morale; it can be beneficial for companies’ bottom line as well. In fact, studies show that allowing time for employees to participate in volunteer opportunities can lead to a happier and more productive workforce. According to the 2017 Deloitte Volunteerism Survey, 89% of respondents believe that companies that sponsor volunteer opportunities offer a more enjoyable work environment, and 36% believe that volunteering can help them build new skills (1). So, there’s huge potential for companies that facilitate a culture of giving back.

I can personally vouch for the fact that contributing to your community enables you to find meaning in your work and aids in your professional development. Aside from allowing me to pursue my passion for assisting underserved communities, my 5 years of working in the nonprofit sector helped me build skills –– such as empathy and adaptability –– that continue to allow me to excel in my current career as a marketer. That is why, although working for a nonprofit was not my true calling, one of the main reasons I chose to work at Act-On was because of the organization’s strong culture of giving back.

Since I was hired last fall, our marketing team has worked with Forest Park Conservancy and Oregon Food Bank on separate volunteer opportunities. These events have inspired my peers and me to reflect on how we can invest our efforts toward creating positive change in our community. When it comes to our everyday work, volunteering as a team has strengthened our group dynamic and enabled us to come back to our marketing roles with a renewed sense of determination and a fresh perspective.

If you need further convincing that implementing a culture of giving back can have a positive impact on your bottom line, here are a few ways that implementing a culture of giving back can improve the performance of your marketing team.

Serving Your Community Helps Build Empathy

A key component of effective marketing is being able to understand our target customers’ main pain points. While market research — such as focus groups and surveys —can be extremely useful in helping us gather information to create our customer personas, truly understanding our customers requires us to put ourselves in their shoes from time to time.

Although practicing empathy is crucial in our line of work, it’s not something that comes naturally to many of us. Unfortunately, this skill is also not one that can be easily learned in a classroom or cultivated in a seminar. To build empathy, we have to go outside of our comfort zone, try to see the world through the eyes of our audience, and understand the life events or circumstances that have led them to where they are right now.

Volunteering provides a perfect avenue for us to do just that because it forces us to see issues faced by individuals in our community through a different lens. Taking the time to serve others enables us to come face to face with people in our community, better understand their story, and visualize how we can improve their lives. This exercise not only allows us to understand how we can make a difference in our community but in the lives of our customers as well.

Volunteering Teaches New Skills and Promotes Collaboration

Participating in a volunteering activity is an excellent opportunity for your marketing team to bond and build new skills. Stepping into a new environment allows every individual on your team a chance to step into a new role and work with each other in ways that you’re not accustomed to in your everyday work.

Allowing your team to explore different roles also enables you to see your peers’ hidden strengths and talents, which is useful insight to have when you’re looking for ways to develop and grow your team. For example, you may want to enlist the individual who coordinated your volunteer event to run your next marketing event. Or you may notice that somebody on your team does extremely well with planning and project management and can encourage them to use those skills to help your team construct a marketing plan in the future.

Being in a New Environment Helps You Learn to Adapt to Change

One thing I’ve learned through my own nonprofit and volunteer experience is to always expect the unexpected. That is an important lesson to remember, especially working for a marketing automation company, where our goal is to make marketing work more predictable and efficient. The truth is that, despite our efforts to streamline work, life often throws you curveballs in the world of business and you have to be ready to respond.

Volunteering is an excellent way to prepare your team to deal with surprises in the workplace because it requires them to be in a new environment and learn new tasks quickly and on the spot. Even if your volunteer activity only lasts for a few hours, your team will gain some valuable practice in adapting to new situations so when the next surprise campaign initiative comes their way, they’ll be ready to tackle it head-on.

What to Do After Your Volunteer Work Is Done

A mistake many teams make is taking time to participate in volunteer activities but not reflecting on what they’ve learned and how it impacts their work. Therefore, your volunteer work should continue as a conversation in the workplace.

After every volunteer event, provide an opportunity for your team to share how the activity made them feel, what they learned, and how they hope this experience will influence their work moving forward. Implementing this practice will enable your team to see the value in the work that they just completed and visualize how these new learnings connect to their everyday work.

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