A Databricks guide

January 14, 2019

Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of data and ML tools now available at our fingertips, and scale model training on big data, for real-life scenarios?

Spotlight

KenSci

At KenSci we are fighting Death with Data Science. KenSci's Machine Learning Platform and Predictive Analytics Apps answer the hard questions about 'Who might get sick?', "What can we do about it?' and 'How can we serve them better across the continuum of care?'. We are a team of Doctors, Data Scientists and Developers are focused on building the first vertically integrated Machine Learning Platform for Healthcare. Join us on this exciting quest.

OTHER WHITEPAPERS
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Data Connectivity 2022

whitePaper | August 18, 2022

The 2022 data connectivity survey pivots somewhat from prior years’ studies. Data connectivity and data integration are well established in the traditional on-premise computing environment. But we’ve seen that as organizations increasingly expand their domains to one or more cloud service providers, it is important to better understand the challenges and opportunities for connectivity presented by modernization initiatives.

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2022 EDUCAUSE Horizon Report® Data and Analytics Edition

whitePaper | September 16, 2022

With the 2022 data and analytics edition, we further expand our series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future—the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a methodology that grounds the findings in the perspectives and expertise of a panel of leaders in higher education data and analytics, in this report we summarize the panel’s input on the major trends shaping higher education, including panelists’ reflections on the implications of this research for the future of higher education for particular institutional roles.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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Analytical Data Infrastructure MarketStudy (Excerpt)

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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The Ugly Truth About Data Management & the Journey to Unleashing the Economic Value of Data

whitePaper | August 22, 2022

The Ugly Truth About Data Management and the Journey to Unleashing the Economic Value of Data explores the often overlooked truth about managing data in the digital era and the shifts in perspective and practice required to unleash the true, economic value of data.

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Spotlight

KenSci

At KenSci we are fighting Death with Data Science. KenSci's Machine Learning Platform and Predictive Analytics Apps answer the hard questions about 'Who might get sick?', "What can we do about it?' and 'How can we serve them better across the continuum of care?'. We are a team of Doctors, Data Scientists and Developers are focused on building the first vertically integrated Machine Learning Platform for Healthcare. Join us on this exciting quest.

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