Big Data Analysis specialization

Kozminski

Are you interested in extracting and analyzing financial data? Do you want to be familiar with the concept of big data? Kozminski University has just launched an extraordinary program in big data analysis for you. The Director of the program has a great pleasure to invite you to participate in a webinar aimed at introducing the program and answering the questions regarding the content of the program.
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Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

OTHER ON-DEMAND WEBINARS

Reducing Costs and Increasing the Value of Data Governance

It’s a real economic jungle out there. Budgets might be getting cut, but you can cut through the jungle with self-service help across your teams. Get help! Daniel Petzold, Senior Product Marketing Manager, will serve as your guide to help you reduce IT workloads and costs for distributed data access and governance—agile, cost-efficient self-service across your teams.
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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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Democratizing Data Science With No-Cod

The pace at which the field of data science is expanding makes it impossible for the enterprises to catch up to the state of the art solutions. To avoid falling short of the demands of burgeoning digital revolutions, solutions like APIs, drag and drop analytics, low code and even no-code have been developed. For instance, no-code tools bridge the gap between domain expertise and niche skills of the developers. Know more about why enterprises are increasingly leaning on no code solutions in the upcoming webinar being organised by Analytics India Magazine in association with HP.
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Implementing Oracle Database-as-a-Service for Cloud-Like Agility

Robin Systems, Inc

A growing number of organizations are turning to Docker containers to help solve really big application requirements. Among the biggest out there are those imposed by Oracle and Oracle RAC. What if you could deploy Oracle or Oracle RAC as a stateless cloud-native workload in your environment? Transform a complex process into one with an App Store-like experience.
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Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

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