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Evolving data integration strategies target new analytics needs
Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address.
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What's needed to integrate customer data for analytics
Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process.
Problem Solve
Integration steps to maintain data consistency
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.
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Cloud payments path set by new data lake, user feedback
To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.
Download: Why RDBMS Still Rules Database Roost
This exclusive 60-page guide explores why you shouldn’t get distracted by new DB technology, how Facebook is using a RDBMS to do the data slicing and dicing they can’t in Hadoop, and much more.
Trending Topics
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Big data management News
Hortonworks looks to grow its big data cloud footprint
Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.
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Data governance Get Started
Ready or not, GDPR is here
Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.
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Project management Manage
McKesson takes hybrid path to big data analytics
The big data ecosystem has many twists and turns. A McKesson data manager saw Splice Machine's database as a means to straighten the path by putting analytics and operations data in one place.
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DBMS software Evaluate
Analyst sees GPUs influencing data trends
GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.
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Data architecture Manage
Info architecture's ties to AI, GDPR, streaming data
New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI.
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Hadoop Evaluate
Starburst looks toward SQL-on-anything
Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still.
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Data integration technology (5) +
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Data quality management and governance (5) +
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Database management systems (DBMS) (6) +
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Enterprise business intelligence (14) +
- Advanced analytics software
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- Business intelligence technology platform
- Compliance reporting software
- Corporate performance management software
- Data mining and business intelligence
- Data mining and predictive analytics
- Financial reporting and compliance data management
- Text analytics software and text mining
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Enterprise content management systems (6) +
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Enterprise data warehouse management (7) +
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Master data management strategy (3) +
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Vertical data management strategies (4) +
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Find Solutions For Your Project
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Evaluate
How Spark's lazy evaluation model leads to speed
Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce.
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Starburst looks toward SQL-on-anything
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Ready or not, GDPR is here
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Collaborative data platform helps AP spread data news
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Problem Solve
Integration steps to maintain data consistency
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.
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Kubernetes surfacing in Hadoop-Spark camp
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How to set up a Hadoop data lake -- the right way
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Panera tackles big data ops challenge with BlueData
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Manage
Evolving data integration strategies target new analytics needs
Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address.
-
What's needed to integrate customer data for analytics
-
Data risk management steps for GDPR compliance
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Online gambling company bets on CockroachDB database
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E-Handbook | June 2018
Evolving data integration strategies target new analytics needs
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E-Zine | June 2018
Develop smart AI in CRM strategies to win and keep customers
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E-Handbook | April 2018
GDPR data protection edicts make good data governance a must
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E-Zine | April 2018
Security of big data fashions a whole new look with GDPR
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E-Handbook | February 2018
Data lake concept needs firm hand to pay big data dividends
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Data Management/Data Warehousing Basics
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Get Started
What's needed to integrate customer data for analytics
Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process.
-
Get Started
Cloud payments path set by new data lake, user feedback
To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.
-
Get Started
Develop smart AI in CRM strategies to win and keep customers
Of the three words that comprise customer relationship management, one word binds the other two. As necessity and competition dictate that CRM upgrade itself with artificial intelligence and flights to the cloud, what counts most in ...
Multimedia
Vendor Resources
- Powering Applications with Apache: Kafka, Spark and Cassandra –Resource
- 2018 Big Data Maturity Survey –Research Content
- Using Apache Spark, Apache Kafka and Apache Cassandra to Power Intelligent ... –White Paper
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News
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Big data management
Hortonworks looks to grow its big data cloud footprint
Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.
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Hadoop framework
Stream processing meets GDPR
StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.
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Database management system (DBMS) software and technology
MongoDB 4.0 expands ACID support for documents
MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.