ACCELERATE DIGITAL TRANSFORMATION WITH BIG DATA FABRIC

Paxata

We have reached the tipping point where all businesses recognize they cannot compete in a digital age using analog-era legacy data solutions and architectures. The winners in the next phase of business will be those enterprises that obtain a clear handle on the foundations of modern data management fabric. The modern big data fabric helps enterprise organizations accelerate insights by automating ingestion, curation, discovery, preparation, and integration from data silos. Watch guest speaker Noel Yuhanna from Forrester and Paxata’s Nenshad Bardoliwalla as they discuss: Latest trends, benefits, and use cases of big data fabric Challenges enterprise organizations must overcome. How to deliver faster time-to-value with an. enterprise-grade self-service data preparation solution.
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Spotlight

This report summarizes five international workshops exploring the highly disruptive effects of the Big Data revolution on the development of future cyberinfrastructure for science. Beginning in 2013 as the Big Data revolution was gathering steam, this series included workshops in the US, Japan, the EU and China, as well as supplemental BoF’s and meetings at annual SC and ISC conferences. These meetings drew participation from all the main institutional branches of the HPC community, including academia, government laboratories, and private industry; and they included leaders from major scientific domains and from all the different segments of the research community involved in designing, developing, and deploying cyberinfrastructure for science.

OTHER ON-DEMAND WEBINARS

Building Next-Gen Data Pipelines with Databricks Delta

Databricks

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.
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Enabled Data Quality and Data Governance

infogix

Analytics-Enabled Data Quality and Data GovernanceJoin us for a FREE 1 hour webinar where we will review how statistical controls, machine learning and other analytical approaches can validate data and enforce governance in smarter ways, thus allowing for a more proactive approach to trusting and understanding data across the enterprise. We will also provide a demonstration of how this can be achieved quickly to achieve quick wins.
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Modernize Your Data Architecture to Deliver Oracle as a Service

robin.io

The migration to cloud-based data architectures continues at a rapid pace, including databases and data management. Oracle databases are part of this trend, and during this webinar you will learn how to automate the provisioning and management of Oracle databases so that you can deliver an “as-a-service” experience with 1-click simplicity. Experts will walk you through the process of
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The Role of Data Governance in a Data Strategy

A Data Strategy is a plan for moving an organization towards a more data-driven culture. A Data Strategy is often viewed as a technical exercise. A modern and comprehensive Data Strategy addresses more than just the data; it is a roadmap that defines people, process, and technology. The people aspect includes governance, the execution and enforcement of authority, and formalization of accountability over the management of the data.
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Spotlight

This report summarizes five international workshops exploring the highly disruptive effects of the Big Data revolution on the development of future cyberinfrastructure for science. Beginning in 2013 as the Big Data revolution was gathering steam, this series included workshops in the US, Japan, the EU and China, as well as supplemental BoF’s and meetings at annual SC and ISC conferences. These meetings drew participation from all the main institutional branches of the HPC community, including academia, government laboratories, and private industry; and they included leaders from major scientific domains and from all the different segments of the research community involved in designing, developing, and deploying cyberinfrastructure for science.

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