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

May 13, 2019 13 May'19
Red Hat OpenShift Operators target AI, big data workloads

Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations.
May 07, 2019 07 May'19
ProvenDB brings blockchain applications to world of MongoDB

Blockchain is intriguing technology, but carries with it high system overhead. ProvenDB adds blockchain to MongoDB in an effort to gain acceptable performance.
May 01, 2019 01 May'19
Snowflake CEO Bob Muglia replaced by former ServiceNow CEO

Frank Slootman, who led ServiceNow and Data Domain through successful IPOs, is the new chairman and CEO of cloud data warehouse vendor Snowflake, replacing former CEO Bob Muglia.
April 30, 2019 30 Apr'19
Snowflake CEO Bob Muglia talks cloud data warehouse evolution

In this Q&A, former Snowflake CEO Bob Muglia discusses the vendor's decision to embrace cloud data warehousing and how the industry is changing as more data moves to the cloud.

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Enterprise data warehouse management Get Started

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Data as a Service (DaaS)

Data as a Service (DaaS) is an information provision and distribution model in which data files (including text, images, sounds, and videos) are made available to customers over a network, typically the Internet. Continue Reading
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
Data model design tips to help standardize business data

Data models should be understandable to business users and kept to a reasonable scope, say the leaders of a data modeling initiative at England's Environment Agency. 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.

The main picks for Hadoop distributions on the market

Check out the current top Hadoop distribution vendors in the market to help you determine which product is best for your company. Continue Reading
Inside view of Tibco integration architecture planning

Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background. Continue Reading
Data modeling software tackles glut of new data sources

Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

Data virtualization layer feeds logical data warehouse, Agile BI

Indiana University is using data virtualization to combine data from various source systems for analysis, as part of an initiative to improve strategic decision-making. Continue Reading
Data modeling best practices power analytics, business apps

Data modeling is a key part of data management and analytics. This handbook highlights best practices for creating data models and new functionality in modeling tools. Continue Reading
A future data scientist needs business, deep learning skills

As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks. 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.

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
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

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