Enterprise data warehouse management

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Machine Learning Meets Data Quality

Read an exclusive interview with Andrew Burt, chief privacy offer and legal engineer at Immuta Inc., on data governance and machine learning integration. Plus, uncover steps IT managers are taking to improve data quality in their big data environments in order to ensure analytics accuracy.

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Enterprise data warehouse management News

December 28, 2018 28 Dec'18
Data management trends for 2019: Governance, DataOps, cloud

Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say.
December 18, 2018 18 Dec'18
Datawatch Swarm on path to combine data prep, analytics

Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.
December 14, 2018 14 Dec'18
Data companies vie to fill spots in AWS cloud data lineup

Third-party vendors that offer data platforms to AWS users tout hedges against cloud lock-in. But they must both compete and collaborate with the cloud leader.
November 30, 2018 30 Nov'18
Amazon Timestream, QLDB aim to grab more DBMS users for AWS

Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.

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Enterprise data warehouse management Get Started

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Tips for creating curated data sets for self-service BI users

Data curation initiatives can help streamline BI processes by reducing the amount of time users spend locating and preparing data. Get four tips for preparing data sets. Continue Reading
big data

Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Continue Reading
data modeling

Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. 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.

Open source support was central to 2018 data deals

Mergers and acquisitions unsettled the big data status quo in 2018. Open source support made these couplings a bit different than those of the past, Talking Data podcasters said. Continue Reading
SQL Server 2019 improves Linux, container support

The SQL Server 2019 release includes new big data integration features, a collection of database engine enhancements and improved Linux and container support. Continue Reading
Don't let blockchain complexity bog down business applications

Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

How to build a master data index: Static vs. dynamic indexing

Expert David Loshin explores the differences between static and dynamic indexing in master data management systems, and which queries each approach can support. Continue Reading
Big data platform broadens place in analytics architecture

Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. Continue Reading
Mining equipment maker uses BI on Hadoop to dig for data

BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people. Continue Reading

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Problem Solve Enterprise data warehouse management Issues

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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
What's the difference between DDL and DML?

What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
Data integration techniques to help keep BI data consistent

Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading

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