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Business intelligence architecture and integration News
June 22, 2017
Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.
October 25, 2016
Users increasingly want data preparation to be tightly integrated into the analytics process to shorten time to insight, and Pentaho's new 7.0 software release aims to satisfy that need.
June 24, 2016
On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.
May 06, 2016
You might think that today's IT world is all about big data, but TechTarget's 2016 IT Priorities Survey shows that mainstream BI, analytics and data warehouse software is still a hot commodity.
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As cloud computing becomes more common, there are signs that companies increasingly are looking at whether cloud BI and analytics applications should be part of their IT plans. Continue Reading
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading
Embedded BI (business intelligence) is the integration of self-service BI tools into commonly used business applications. Continue Reading
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Lenovo and Autodesk are two organizations that are increasing their use of the cloud for analytics applications, looking to lower costs, add flexibility and speed up data processing. Continue Reading
Smart cloud analytics platforms such as Salesforce Einstein play well as flashy demos, but they can have a substantive impact on day-to-day work in the enterprise. Continue Reading
Accenture rolled out Wave analytics along with other Salesforce tools to 25,000 users within five months. Though the project moved quickly, it's also being done carefully. Continue Reading
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While cloud computing may be convenient and more cost-effective for users, it can also lead to new challenges and requirements in regard to integrating and processing data. Continue Reading
Effectively governing the data stored in different systems across big data architectures is emerging as one of the keys to a successful deployment of Hadoop and related technologies. Continue Reading
SQL-on-Hadoop query engines are becoming a common companion of Hadoop in big data systems as IT managers look to ease programming for analytics applications and data integration jobs. Continue Reading
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Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy. Continue Reading
BI tools can be very beneficial to an organization by delivering helpful insights, but common mistakes frequently derail their effectiveness and render them useless. Continue Reading
When data modeling standards are followed, service-oriented architecture, or SOA, can drive successful data services layer creation, a Harvard Pilgrim information architect says. Continue Reading