Enterprise data warehouse management
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.
Enterprise data warehouse 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 30, 2019
30
Sep'19
Cloud database services multiply to ease admin work by users
The list of vendors offering managed cloud database services is growing rapidly, which gives IT teams more opportunities to offload management of database systems.
Enterprise data warehouse management Get Started
Bring yourself up to speed with our introductory content
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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
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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 Enterprise data warehouse management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Evaluating data warehouse platform options and your need for one
There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. 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
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Apache Kafka version 2.4 improves streaming data performance
The latest release of the Apache Kafka open source event streaming platform adds improved replication and availability capabilities to help boost overall performance. Continue Reading
Manage Enterprise data warehouse management
Learn to apply best practices and optimize your operations.
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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 some ways to improve data quality in your organization before it becomes a problem. Continue Reading
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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
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Data catalog best practices rely on teamwork, governance, tools
This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
Problem Solve Enterprise data warehouse 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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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
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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
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Why data silos matter: Settling ownership of data issues
Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. Continue Reading