Business intelligence architecture and integration

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Business intelligence architecture and integration News

July 27, 2018 27 Jul'18
BigQuery ML moves machine learning into Google BigQuery

Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
January 17, 2018 17 Jan'18
Hyper engine aims to give enterprise Tableau analytics a boost

The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
June 22, 2017 22 Jun'17
Despite functionality gains, use of cloud BI tools elevates slowly

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 25 Oct'16
Pentaho 7.0 update combines data preparation tool with analytics

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.

Bring yourself up to speed with our introductory content

What goes into a customer analytics data integration framework

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. Continue Reading
operational intelligence (OI)

Operational intelligence (OI) is an approach to data analysis that enables decisions and actions in business operations to be based on real-time data as it's generated or collected by companies. Continue Reading
business intelligence (BI)

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Self-service analytics tools hand BI power to business users

Self-service BI software opens the door to wider analytics uses in organizations. This handbook compares top self-service tools and details user deployments. Continue Reading
Tableau vs. Power BI vs. Qlik: How the BI rivals stack up

Tableau, Power BI and Qlik Sense offer similar self-service BI functionality, consultant Rick Sherman says. But he points to some of their strengths and weaknesses. Continue Reading
Cloud data analytics gets a higher profile in companies

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

Learn to apply best practices and optimize your operations.

Offset IoT network demand with IoT edge analytics strategy

As more organizations add IoT devices, the resulting data streams run the risk of overloading the IoT environment. IoT edge analytics could help distribute the workload. Continue Reading
Data analytics architecture must break down higher ed silos

Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading
Cross-platform integration, data preparation process grows in cloud

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

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

What are key features for choosing the best ETL tools for your needs?

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
Big data architectures face big hurdles with technology integration

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
Eight reasons why business intelligence implementation can fail

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