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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October 14, 2020
14
Oct'20
Idera targets cloud data lake market with Qubole acquisition
Qubole joins the Idera Inc. group of software companies, bringing data pipeline capabilities into the group to target customers that need more cloud data storage.
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August 26, 2020
26
Aug'20
Snowflake IPO shows strength of cloud data warehouse
The cloud data warehouse services vendor files for an IPO as it looks to build out and expand its data portfolio to help organizations manage and analyze data assets.
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August 04, 2020
04
Aug'20
Isima emerges with bi(OS) converged data platform
Startup launches with the general availability of a converged platform that offers the promise of integrating multiple data management and analysis steps into a single offering.
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July 15, 2020
15
Jul'20
Azure partner Aparavi takes on unstructured data management
Aparavi retired its Active Archive and File Protect & Insight products and brought their features to its new cloud-based data management and automation platform launched on Azure.
Big data management Get Started
Bring yourself up to speed with our introductory content
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edge analytics
Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Continue Reading
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Apache Hadoop YARN
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
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MongoDB
MongoDB is an open source NoSQL database management program. NoSQL is used as an alternative to traditional relational databases. 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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How AI data privacy can help your enterprise
Enterprises benefit in many ways from AI data privacy tools that reduce the need for manual efforts from data professionals. Read on for top use cases for the growing technology. Continue Reading
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NewSQL databases: The bridge between SQL and NoSQL
NewSQL databases attempt to provide enterprises with the top benefits of both relational and NoSQL databases on one platform. Here's a look at how NewSQL can benefit enterprises. Continue Reading
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Synthetic data in healthcare advances patient analytics
Learn how synthetic data in healthcare can be beneficial across the board. Plus, get a sneak peek at a new book on synthetic data generation from O'Reilly Media. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
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Should you host your database on-site or in the cloud?
There's been a surge of movement to the cloud in recent years, but there are still some benefits to an on-site database. Read on for a comparison of on-site and cloud platforms. Continue Reading
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Top 5 feature engineering tips for better models
From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering. Continue Reading
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Data integration technologies unify multiple data stores
Manual data integration can still benefit small and medium businesses, but a prolonged manual process can slow and detract from actionable work by data professionals. 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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Top 3 data privacy challenges and how to address them
There are many issues enterprises face in their data privacy programs. Read on for how to address the most common three found across organizations. Continue Reading
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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