Enterprise data warehouse management

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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.

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Enterprise data warehouse management News

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.
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.
September 05, 2019 05 Sep'19
Cloudera Data Platform to debut, as big data fortunes waver

The interim CEO of Cloudera is cautiously optimistic about growth prospects as the big data vendor acquired Arcadia Data and planned to bolster its own cloud platform.
August 29, 2019 29 Aug'19
Align enterprise data architecture, governance for 'quick wins'

Data management consultant Donna Burbank outlines how binding business and IT governance together effectively hinges on a comprehensive enterprise data architecture.

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Enterprise data warehouse management Get Started

Bring yourself up to speed with our introductory content

Hadoop

Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Continue Reading
Third-party database tools boast attractive alternatives

For companies considering third-party database tools, this handbook provides expert advice on evaluating and deploying on-premises and cloud options from third parties. Continue Reading
Entity Relationship Diagram (ERD)

An entity relationship diagram (ERD), also known as an entity relationship model, is a graphical representation that depicts relationships among people, objects, places, concepts or events within an information technology (IT) system. Continue Reading

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Evaluate Enterprise data warehouse management Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Database management tools from third parties make natives restless

Third-party database performance tools offer attractive alternatives to management software from DBMS vendors, provided their capabilities include orchestration, governance and integration. Continue Reading
Data warehouse vs. data lake vs. data mart: Beyond the RDBMS

There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
10 Apache Kafka best practices for data management pros

How can data management teams most effectively deploy and use Apache Kafka in data pipelines and streaming applications? Here are some key guidelines to follow. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

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
GDPR, AI intensify privacy and data protection compliance demands

This guide covers the challenges data management teams face on data protection and privacy, particularly with the rise of GDPR and similar laws and the growing use of AI tools. Continue Reading
Data modeling techniques to overcome common business challenges

In this interview, author and data modeling instructor Steve Hoberman discusses techniques for dealing with challenges that may arise in the data modeling process. Continue Reading

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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.

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
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
Four first steps for customer data management

Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs. Continue Reading

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