Trends for Modernizing Analytics and Data Warehousing in 2019

Arcadiadata

Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics. Where are organizations heading in 2019? How are analytic and data warehouse architectures evolving to enable faster and deeper self-service analytics and BI for organizations looking to create a competitive edge? How is public, private and hybrid clouds factoring into deployment decisions? What are the hottest open source projects from Apache Spark to Kudu, Kafka, Hadoop, and beyond?
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Spotlight

Big data impacts IT spending directly and indirectly. The direct effects are less dramatic, largely because adding terabytes to a Hadoop cluster is much less costly than adding terabytes to an enterprise data warehouse (EDW). That said, IDG Enterprise’s 2014 Big Data survey indicates that more than half of the IT leaders polled believe “they will have to re-architect the data center network to some extent” to accommodate big data services

OTHER ON-DEMAND WEBINARS

Unleash the Power of Your Finance Data

In today’s corporate finance departments, the pressure to do more with less is greater than ever. The most successful finance teams partner with other lines of business to drive growth through data-driven insights, using advanced analytics and predictive models. But translating insights into real-time actions requires real-time analytics that can’t be achieved with traditional business intelligence solutions and dashboards. To unleash the full power of your finance data, you need a new approach.
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AI, Data & Analytics 2021 Annual Spend & Trends Report Debrief

Join ADA and the Digital Analytics Association as we discuss the trends, challenges and innovations that are shaping the future of enterprise data science.
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A Review of the Top Game Changing Data Trends for 2018

infogix

During this interview-style webcast Infogix’s Emily Washington, SVP of Product Management looked ahead in 2018 and predicted what trends will come to fruition, what new concepts will graze the horizon, and what may fail to launch.
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Designing a Successful Governed Citizen Data Science Strategy

datarobot

To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don’t know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents. In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
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Spotlight

Big data impacts IT spending directly and indirectly. The direct effects are less dramatic, largely because adding terabytes to a Hadoop cluster is much less costly than adding terabytes to an enterprise data warehouse (EDW). That said, IDG Enterprise’s 2014 Big Data survey indicates that more than half of the IT leaders polled believe “they will have to re-architect the data center network to some extent” to accommodate big data services

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