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Big data management News
January 14, 2020
Cloudera finds a new leader, pulling the former CEO of Hortonworks back into the fold to help set the direction for the big data Hadoop vendor as it moves forward in 2020.
December 18, 2019
Cloud native data management isn't usually the first thing on anyone's mind, acknowledges Portworx co-founder and CTO Goutham Rao -- but find out how it's become part of organizations' journey.
October 18, 2019
Databricks has found a new home at the Linux Foundation for its open source Delta Lake data lake project, in a bid to help grow a broader community and accelerate adoption.
September 25, 2019
Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
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Big data, the cloud and analytics profoundly shape data warehouse purpose and design. Learn how companies derive value from a repository that at times needs definition. Continue Reading
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. Continue Reading
Evaluate Big data management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS. Continue Reading
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading
Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
Instead of waiting for data quality to become an issue, consider a proactive approach. Here are some ways to improve data quality in your organization before it becomes a problem. Continue Reading
As the concept of storing data and the technologies needed to do it evolve, companies with set goals in mind are building their data warehouses to maximize analytics outcomes. Continue Reading
Structured data is necessary in machine learning, but sifting through data is time consuming. Streamlining the feature engineering process can help data scientists be more productive. Continue Reading
Problem Solve Big data management Issues
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Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
Most data being created today is unstructured, and storage pros often find themselves struggling to keep up. Luckily, efficient unstructured data storage is still possible. Continue Reading
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading