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

November 06, 2018 06 Nov'18
IBM-Red Hat deal highlights changes due in data processing

The IBM acquisition of Red Hat marks a watershed in computer architecture. The duo says it can rebuild data applications in new ways. This news analysis explores what's coming.
October 12, 2018 12 Oct'18
MarkLogic Data Hub Service aims to ease cloud use of NoSQL DBMS

MarkLogic rolled out a cloud-service version of its NoSQL database management system, a move designed to make the technology more cost-effective for cloud users.
October 04, 2018 04 Oct'18
Cloudera-Hortonworks merger narrows Hadoop users' options

Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.
September 26, 2018 26 Sep'18
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.

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Enterprise data warehouse management Get Started

Bring yourself up to speed with our introductory content

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
data mart (datamart)

A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... 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.

Trifacta data prep tool helps blend disparate data sources

Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts. Continue Reading
DataScience.com set to drive Oracle cloud analytics efforts

Oracle's cloud strategy includes machine learning jobs that differ from the usual SQL analytics. The company is turning to its DataScience.com purchase to fill the gap. Continue Reading
Neo4j graph database targets AI use cases, performance

The Neo4j graph database is poised for use in AI applications, in which understanding data can stymie efforts. Recent updates target AI needs and performance issues. 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
How graph data modeling can help evaluate database tools

Mapping data to a graph model can be challenging -- but it can also help an organization create prototypes to evaluate graph database tools in a growing market. 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.

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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