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Reasons why your Big Data Cloud Migration Fails and Ways to Overcome

The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it.

Continuous Integration vs. Continuous Deployment

Thanks to Linus Torvalds, the creator of not only Linux, but also the most popular version control system - Git, multiple developers can simultaneously work on the development of the same application, ramping up the speed of production. Git was revolutionary - it enabled developers to keep track of code changes and collaborate seamlessly across different projects.

New Multithreading Model for Apache Impala

Today we are introducing a new series of blog posts that will take a look at recent enhancements to Apache Impala. Many of these are performance improvements, such as the feature described below which will give anywhere from a 2x to 7x performance improvement by taking better advantage of all the CPU cores. In addition, a lot of work has also been put into ensuring that Impala runs optimally in decoupled compute scenarios, where the data lives in object storage or remote HDFS.

An expert's perspective on succeeding with mobile banking and finance in MEA

To dive deeper into some of the findings of our recent fintech mobile report, we reached out to banking and finance professionals in a series of conversations. We explored region-specific challenges and how different institutions keep up with the industry’s increasingly mobile-first direction.