5 DataWorks Must-Reads as You Make Your Way to San Jose
The DataWorks Summit in San Jose, CA is just a few days away. How about a little light plane reading to help you get conference-ready? Here are 5 blog posts to help you prepare for DataWorks 2017.
Insights from a DataWorks Keynote Speaker
Read: Expert Interview: Scott Gnau On the Hadoop Toolbox, Spark, and Future-Proofing the Hadoop
We recently sat down with one of the DataWorks Summit keynote speakers. In our interview with Scott Gnau, he discusses future-proofing, adding tools to the Hadoop ecosystem toolbox, and the advantages of using streaming and batch together in a connected data architecture. Read on >
Strata + Hadoop World 2017 Themes
Read: Strata + Hadoop World 2017 Recap: Machine Learning, Data Lakes and the Cloud
Themes that emerged from this year’s conference in March include a renaissance of machine learning, Big Data in the cloud and purifying Hadoop data lakes. It’s probably not a coincidence that these topics are also prominently featured in the DataWorks Summit agenda. Read on >
DataWorks Forecast: A Mix of Hadoop and Clouds
Read: 5 Reasons to Run Hadoop in the Cloud
You know Hadoop. You know about the cloud. But do you know why and how to run Hadoop in the cloud in order to supercharge your data analytics operation? Read on >
Avoid the Data Swamp
Read: Testing the Waters: How to Get a Hadoop Data Lake Set Up Right
Hadoop has some distinct advantages, including the fact that it’s so widely used. Most of the analytical tools you’ll want to use with your data lake are Hadoop compatible. It’s called the Hadoop ecosystem, and it includes a wide plethora of products like Stream, Spark, Storm, etc. Read on >
New to Big Data? Here’s a Cheat Sheet
Read: Datalicious: The Sexiest Platforms for Streaming Big Data in 2017
If you’re just getting your analytics act together, no worries. One of the benefits of being a Big Data late bloomer is that you won’t have to waddle through all of the platforms and products that came and went during the nebulous early years. Read on >
We Hope to See You There!
Visit us at DataWorks Summit at booth #1102! We’ll show you how we can help you get trusted insights from ALL your data.
Also, don’t miss our customer presentation with Progressive Insurance: “Journey to the Data Lake: How Progressive Paved a Faster, Smoother Path to Increase Enterprise Adoption” on June 13th at 12:20 PM in Room 211
5 DataWorks Must-Reads as You Make Your Way to San Jose
The DataWorks Summit in San Jose, CA is just a few days away. How about a little light plane reading to help you get conference-ready? Here are 5 blog posts to help you prepare for DataWorks 2017.
Insights from a DataWorks Keynote Speaker
Read: Expert Interview: Scott Gnau On the Hadoop Toolbox, Spark, and Future-Proofing the Hadoop
We recently sat down with one of the DataWorks Summit keynote speakers. In our interview with Scott Gnau, he discusses future-proofing, adding tools to the Hadoop ecosystem toolbox, and the advantages of using streaming and batch together in a connected data architecture. Read on >
Strata + Hadoop World 2017 Themes
Read: Strata + Hadoop World 2017 Recap: Machine Learning, Data Lakes and the Cloud
Themes that emerged from this year’s conference in March include a renaissance of machine learning, Big Data in the cloud and purifying Hadoop data lakes. It’s probably not a coincidence that these topics are also prominently featured in the DataWorks Summit agenda. Read on >
DataWorks Forecast: A Mix of Hadoop and Clouds
Read: 5 Reasons to Run Hadoop in the Cloud
You know Hadoop. You know about the cloud. But do you know why and how to run Hadoop in the cloud in order to supercharge your data analytics operation? Read on >
Avoid the Data Swamp
Read: Testing the Waters: How to Get a Hadoop Data Lake Set Up Right
Hadoop has some distinct advantages, including the fact that it’s so widely used. Most of the analytical tools you’ll want to use with your data lake are Hadoop compatible. It’s called the Hadoop ecosystem, and it includes a wide plethora of products like Stream, Spark, Storm, etc. Read on >
New to Big Data? Here’s a Cheat Sheet
Read: Datalicious: The Sexiest Platforms for Streaming Big Data in 2017
If you’re just getting your analytics act together, no worries. One of the benefits of being a Big Data late bloomer is that you won’t have to waddle through all of the platforms and products that came and went during the nebulous early years. Read on >
We Hope to See You There!
Visit us at DataWorks Summit at booth #1102! We’ll show you how we can help you get trusted insights from ALL your data.
Also, don’t miss our customer presentation with Progressive Insurance: “Journey to the Data Lake: How Progressive Paved a Faster, Smoother Path to Increase Enterprise Adoption” on June 13th at 12:20 PM in Room 211