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
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April 28, 2020
28
Apr'20
Actian Avalanche Real-Time Connected Data Warehouse adds integration
Actian is expanding its Cloud Data Warehouse with data integration capabilities to enable users to onboard and search data from both cloud and on-premises data sources.
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March 04, 2020
04
Mar'20
Microsoft boosts Azure big data strategy with Hadoop distro
Microsoft Azure's HDInsight has a new, company-backed distribution of Hadoop, which should reassure customers interested in hybrid big data deployments.
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February 25, 2020
25
Feb'20
Databricks Data Ingestion Network brings data to lakehouse
Databricks Ingest entered a public preview in a move by Databricks to enable a lakehouse that combines the best features of the data lake and data warehouse models.
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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.
Big data management Get Started
Bring yourself up to speed with our introductory content
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How to ensure your data lake security
Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers. Continue Reading
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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
Evaluate Big data management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Top -- and bottom -- 5 Apache Kafka use cases
Apache Kafka has many applications in big data, but what enterprise use cases are the best fit for the tool? Experts discuss where Kafka works best for your data. Continue Reading
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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
Manage Big data management
Learn to apply best practices and optimize your operations.
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Building a strong data analytics platform architecture
A strong analytics platform is key to meeting demands in a data-driven business. Read on for the key components your platform architecture should include. Continue Reading
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Why organizations need IoT data scientists on their team
IoT is ratcheting up the stakes and creating new ways to use data, making IoT data scientists a necessity for organizations to maintain a competitive edge. Continue Reading
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How to build an effective streaming data architecture
Data architecture can be tricky when it comes to real-time analytics. Clear objectives and scalability are important factors when determining the streaming data architecture you need. 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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Common data lake challenges and how to overcome them
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
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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 for data professionals. But strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading