Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.. See complete definition.
New & Notable
Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts
This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.
Big data management News
-
January 14, 2020
14
Jan'20
Former Hortonworks leader named new Cloudera CEO
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
18
Dec'19
Q&A: The challenges of cloud-native data management
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
18
Oct'19
Databricks contributes Delta Lake to the Linux Foundation
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
25
Sep'19
Cloudera Data Platform gives big data users multi-cloud path
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.
Big data management Get Started
Bring yourself up to speed with our introductory content
-
Data warehousing design and value change with the times
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
-
What Is Data Management and Why Is It Important?
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
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.
-
Evaluating the different types of DBMS products
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
-
Data warehouse technologies evolve as vendors look skyward
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
-
Future of MongoDB could be brighter than other NoSQL engines
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.
-
Proactive practices for data quality improvement
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
-
Analytics demands add loftier goals to data warehouse strategies
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
-
How to streamline feature engineering for machine learning
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
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
-
7 steps to a successful data lake implementation
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
-
Worried about storing unstructured data? You're not alone
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
-
Kubernetes container orchestration gets big data star turn
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