Realizing the Value of Big Data through Data Quality

infogix

Third, we argue that to advance theories on big data value realization, the IS field .For example, in a research facility, policies on information governance
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Spotlight

Come to this session to learn how to use Azure HDInsight service to build solutions that can handle any shape data at massive scale. We will build an end to end application that uses both data in motion (Streaming) as well as data at rest (Batch). In this session we will use Big Data technologies like Hadoop, HBase, Storm and Spark to build an IoT application (Internet of Things), starting from data ingestion, all the way to visual dashboards. As part of the application development we will show you the Developer experience in Visual Studio for writing Hive queries and building Storm topologies…

OTHER ON-DEMAND WEBINARS

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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Webinar SAS Academy for Clinical Programming

SAS

You want to launch a career in the pharmaceutical industry? Then become a SAS® Certified Clinical Trials Programmer. This training program from SAS and OCS Life Sciences prepares you to work as a SAS® Certified Clinical Trials Programmer. The combination of coursework and hands-on learning helps you build a foundation of clinical research theory and data manipulation and analysis skills – which can open doors to new opportunities. Check out this On-Demand webinar and discover how SAS can help you accelerate development of life-changing therapies.
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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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Financial Analytics Fundamentals Use Data Science And Analytics In BFSI

analyticsindiamag

For a data analyst, financial analytics is one of the most useful skill sets to inculcate given the rapid growth of roles in this booming sector. A specialisation in this field will be a value-add given the rapid rise of fintech in India’s digital ecosystem. Financial analytics helps companies uncover deeper insights into the company’s finances and can help in finding pain points and new streams of revenue. Financial Analysts work in investment firms, banks, insurance sector and digital payments companies.
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Spotlight

Come to this session to learn how to use Azure HDInsight service to build solutions that can handle any shape data at massive scale. We will build an end to end application that uses both data in motion (Streaming) as well as data at rest (Batch). In this session we will use Big Data technologies like Hadoop, HBase, Storm and Spark to build an IoT application (Internet of Things), starting from data ingestion, all the way to visual dashboards. As part of the application development we will show you the Developer experience in Visual Studio for writing Hive queries and building Storm topologies…

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