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The Future of the Data Lakehouse – Open

Cloudera

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

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What’s Hot: Join Us at the AWS Summit in New York

d2iq

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

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When Ralph Kimball Speaks People Listen: Hear what the father of the data warehouse has to say about Apache Hadoop

CTOvision

Ralph Kimball has some thoughts on Apache Hadoop and will be sharing them during a webinar Wednesday 2 April 2014 at 1pm eastern. Register for the webinar and receive a free guide to dimensional modeling from his latest book. Online Webinar | April 2, 2014 | 10AM PT / 1PM ET. For more see: [link]. For more see: [link].

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Data, Analytics, and a Cold Beer on a Hot Day

TIBCO - Connected Intelligence

While COVID-19 presents a short-term hindrance, I recently simulated this experience with my friend Philip Moston, a business intelligence (BI) Architect and Solutions Consultant at TIBCO partner QuinScape, based in Dortmund, home to the highest concentration of breweries in Germany. . We primarily work in German-speaking regions.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. In 2015, only 17% of organizations surveyed had big data implementations.

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Avoid the Potholes Along Your Migration Journey from Netezza

Actian

But think back to how prior forklift upgrades have gone—whether involving mainframes, data center consolidation, service-oriented architecture, or any other legacy technical debt—and you can quickly see the high risk of a “lift and shift” migration strategy. Charting your journey to a next-gen cloud data warehouse webinar.

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Frictionless Data Access: The Dream Becomes Reality

TIBCO - Connected Intelligence

2 Dresner also found that “the harder it is for business intelligence (BI) users / use cases to find and access content, the higher the likelihood that BI initiatives will not be successful.” Overcoming this challenge is not easy if you stick to your existing data analytics strategy, architecture, and tools. Click To Tweet.

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