Enterprise data warehouse management

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Enterprise data warehouse management News

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.
September 25, 2018 25 Sep'18
SQL Server 2019 preview brings Hadoop, Spark and AI into DBMS

A SQL Server 2019 preview brings Hadoop and Spark into the fold, positioning the database as an all-purpose data portal. Azure Cosmos DB also gets an update.

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Enterprise data warehouse management Get Started

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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
SAP BW (Business Warehouse)

SAP Business Warehouse (BW) is a model-driven data warehousing product based on the SAP NetWeaver ABAP platform. Continue Reading
MongoDB

MongoDB is an open source database management system (DBMS) that uses a document-oriented database model which supports various forms of data. 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.

Cloud buoys data microservices -- for on-premises systems, too

Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
5 trends driving the big data evolution

The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources. Continue Reading
How Azure SQL DW Gen2 boosts cloud data warehouse's performance

The Gen2 version of Azure SQL Data Warehouse gives Microsoft's cloud data warehouse a shot in the arm on performance, making it more competitive with rival technologies. Continue Reading

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Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

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
When to choose an S3 big data environment over HDFS storage

Selecting a storage service for big data in the cloud can be challenging. Expert David Loshin explains usage patterns that could lead organizations to Amazon Simple Storage Service. 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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