Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.. See complete definition.
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
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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.
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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.
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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.
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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
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How to handle data management in the cloud
Managing data in the cloud can result in cost and management complexities. But you can also use the technology to get a deeper understanding of your data. Continue Reading
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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
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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
Evaluate Big data management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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3 of the top use cases for graph databases
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three. Continue Reading
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NoSQL database comparison to help you choose the right store
With so many NoSQL databases to choose from, how can you tell which is best for your data set? Check out this comparison of some of the most popular NoSQL databases. Continue Reading
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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
Manage Big data management
Learn to apply best practices and optimize your operations.
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3 cloud-based data management challenges
Your organization has data in the cloud, but there are still concerns as to how you and your data protection vendor manage that data to maintain performance and costs. Continue Reading
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6 best practices on data governance for big data environments
Efforts to govern big data must corral a mix of structured and unstructured data. That's a challenge for most organizations. These six action items will help. Continue Reading
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Should you host your data lake in the cloud?
On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a data lake. 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.
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What data lake governance challenges do organizations face?
Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading
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Breaking down data silos with strong data governance
Not having a single source of truth can be a huge issue to data professionals. Strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading
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Proactive practices for data quality improvement
Instead of waiting for data quality to become an issue, consider a proactive approach. Here are ways to improve data quality in your organization before it's a problem. Continue Reading