Data Catalogs are Essential But Can they be Fun?

alation.com

In an age of data lakes, enterprise data catalogs are becoming a necessity. Done right, machine learning data catalogs can facilitate discoverability and ensure compliance while fostering the user engagement needed to build a robust data culture. In this webinar, Andrew Brust, analyst at GigaOm Research, and Aaron Kalb, co-founder and chief data officer at Alation, discuss why people are an essential part of successful self-service analytics, and how data catalogs can help foster collaboration and analytics enthusiasm.
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Simplify the complexity of Packaging & Artwork Management. Challenge Execute Approx. 450 new Packaging Artworks with new Country of Origin Labelling & NIPs, within a tight project timeline. Solution. A managed service coupled with Artwork Specialists & Technology that will streamline the process, decrease rework cycles, ensure brand consistency, increase speed to market, TRACK and LOWER YOUR COSTS.

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Transform Retail with IBM Big Data Solutions

TechD

New technologies have permanently transformed how customers communicate, interact, research and shop for goods and services. Retail data paired with retail analytics, can assist retailers in understanding and responding with actionable retail insights to the disrupted landscape and changing customer expectations.
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Introducing Cloudera Data Science Workbench for HDP

Cloudera

Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
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Cloud Data Strategies for Mission-Critical, Distributed Applications

When organizations need to move quickly to launch new, digitally transformed applications that rely on terabytes (if not petabytes) of data, they cannot afford to wait for legacy database management systems to catch up. Cloud computing platforms give organizations the ability to stand up systems quickly, but if the data layer cannot offer the linear scalability, low latency, high availability, performance, fault tolerance, security, and agility needed for today’s 24/7 applications, organizations will never realize their objectives.
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How to Modernize Data Lake Technologies with Cloud-Based Solutions

tdwi.org

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
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Spotlight

Simplify the complexity of Packaging & Artwork Management. Challenge Execute Approx. 450 new Packaging Artworks with new Country of Origin Labelling & NIPs, within a tight project timeline. Solution. A managed service coupled with Artwork Specialists & Technology that will streamline the process, decrease rework cycles, ensure brand consistency, increase speed to market, TRACK and LOWER YOUR COSTS.

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