Remove 2000 Remove Data Analytics Remove Data Lake Remove Optimization
article thumbnail

Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

AWS Big Data

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. The EMR runtime provides up to 5.37

article thumbnail

Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. In data-driven organizations, data is flowing. This stuff works.

Insurance 150
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

And then I moved from Madison, Wisconsin to San Francisco in 2000, to chase the dotcom dream. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. Let’s talk about big data and Apache Impala. Michael Moreno: Nice!

article thumbnail

The Right Tool to Support Your Microsoft Dynamics Migration

Jet Global

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI. Get a Demo.

article thumbnail

Oracle Cloud Migration FAQs Answered by Angles

Jet Global

Understandably, optimizing cloud investment remains a top priority to ensure your company does not fall behind. What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do I access the legacy data from my previous ERP?