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Building a Data Foundation Pillar #2: Build the Data Architecture

In our last post, we talked about defining your data strategy. We’ll now discuss articulating the data architecture that will help make your data strategy a reality.

Building a Data Foundation Pillar #1: Define Your Data Strategy

A data strategy is a list of high-level objectives and priorities for your enterprise data assets. Learn how to start building one in this blog post.

Getting the Most Out of Your Essbase Cubes

In this article, we’ll discuss how you can optimize your use of Essbase cubes, using our recent work as an example.

Essbase Cloud vs. On-Premise: What’s the Difference?

The decision between Essbase cloud and on-premise may not be a clear-cut one. In this article, we’ll discuss the differences between Essbase Cloud and on-premise.

Optimizing ETL Processes at a Major Global Airline

Despite ETL being essential to data processing, far too many organizations fall prey to ETL problems that prevent them from reaching peak efficiency. Get some tips to avoid the same destiny.

Optimizing Oracle Databases at a Global Airline

Like many Oracle applications and other enterprise software, Oracle Database can be difficult to manage. Here’s some optimization tips to keep things running smoothly.

6 Reasons Amazon Redshift Shines for Data Warehouse Clusters

In this blog, find out why Amazon Redshift is among the best solutions to consider for cost-effectively creating a cloud-based data warehouse.

Datanami’s #6 Big Data Trend of 2019: Deep Learning Gets Deeper

Last year Datanami released their top 10 Big Data trends of 2019. This post looks at Trend #6: Deep Learning Gets Deeper.

Datanami’s #5 Big Data Trend of 2019: Skills Shift as Technology Evolves

Now that we’re ending the year, find out if Big Data Trend #5 – Skills Shift – remains a focal point.