facebooklinkedinrsstwitterBlogAsset 1PRDatasheetDatasheetAsset 1DownloadForumGuideLinkWebinarPRPresentationRoad MapVideofacebooklinkedinrsstwitterBlogAsset 1PRDatasheetDatasheetAsset 1DownloadForumGuideLinkWebinarPRPresentationRoad MapVideo
Actian Blog / Tag / Hadoop

Tagged Posts: Hadoop

Where You Do Analytics Processing Matters
  • July 20, 2020

Where you do Analytics Processing Matters

The Vector for Hadoop offering from Actian delivers increased performance for analytic queries without the associated increase in cost.  If you are looking for high-performance analytics processing to drive operational decision making, where you do your processing matters.  By minimizing the movement of data and processing locally, you can drastically reduce latency.  By using…

Read More
Operationalizing Your Hadoop Data Lake
  • July 15, 2020

Operationalizing your Hadoop Data Lake

Have you ever tried to join your fact and dimension tables together to generate operational analytics? If you want to perform large scale data analysis on things like customer churn, you’re probably going to need to do this.  The problem is, these tables are very large, and when you bring them together, the resulting…

Read More
What Is An Operational Data Warehouse And Why Is It The Next Big Thing?
  • October 23, 2018

What is an Operational Data Warehouse and why is it the next big thing?

Data warehouses have been around for decades, and have established themselves as reliable reporting systems with consistent value. They have also evolved into data marts, specialized appliances and EDW variants to meet emerging needs, but all of these solutions have their drawbacks when it comes to meeting today’s business demands. Some of the common…

Read More
The Top 5 Pitfalls Of Traditional Data Warehouses
  • October 11, 2018

The Top 5 Pitfalls of Traditional Data Warehouses

Over the past two decades, data warehouse solutions have evolved and diverged to address a myriad of use cases. Meanwhile, the pace of business continues to accelerate, making it harder to remain competitive. These new demands can stretch the abilities of traditional data warehouses. Below are 5 of the common pitfalls that can trip…

Read More