Three Must-Know Data Lake Deployment Best Practices
Companies vary in their approach to data management. Some enterprises collect only a few types of data, thus the traditional data warehouse technique works …
Data Lake
Three Key Data Lake Trends to Stay on Top of This Year
Syncsort recently released the results from its fourth annual Big Data Survey. The data integration solution provider found that nearly 6 in 10 organizations …
4 Data Lake Tools Vendors to Watch in 2018
Companies vary in their approach to data management. Some enterprises collect only a few types of data, thus traditional data warehouse solutions work well. …
An Abbreviated Data Management Roadmap for Analytics
Data Management solutions meet at the intersection of Big Data and business analytics, allowing for the ongoing care of vital data so that it may be readily …
Constellation ShortList for Data Lake Management Names 7 Vendors to Know
Strategic advisory and analyst firm Constellation Research recently released findings from its Constellation ShortList for Data Lake Management. The report, …
Informatica Unveils Industry-First Data Lake Management Solution
Today, Informatica announced the expansion of its Data Lake Management solution to strengthen the industry’s only integrated out-of-the-box offering for …
Gartner Magic Quadrant for Metadata Management: Key Takeaways
Gartner recently released their 2016 Magic Quadrant for Metadata Management Solutions. According to the enterprise technology research giant, by the year 2020, …
The Emergence of Enterprise Data Lake: A Brief
The concept of the Data Lake is shrouded in mystery, what is it? Is there some kind of Loch Ness data monster swimming around at the bottom of it? The Data …
Attunity Tackles Hadoop in the Data Lake with Update to Visibility
Attunity announced today the latest release of Attunity Visibility for Hadoop, which includes enhanced technology to enable comprehensive data usage analytics …
Data Lake or Data Dump?
Companies vary in their approach to Data Management. Some enterprises collect only a few types of data, thus the traditional data warehouse technique works …