Introducing Cloudera Data Science Workbench for HDP

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Meanwhile, IT has a difficult time keeping up with these changing needs while ensuring operational efficiency and compliance. Sound familiar? CDSW was designed precisely to r
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Spotlight

IT departments within large organizations struggle with a common problem of infrastructure and operational management. Infrastructure components (such as storage, server, network devices, etc.) that support business critical applications generate thousands of alerts per day that report on the health of these components. Furthermore, thousands of incident tickets also get created manually. It is labor intensive and expensive to analyze all of these alerts and incidents to extract information and improve operational efficiency.

OTHER ON-DEMAND WEBINARS

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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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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3 Critical Skills for Every Accidental MariaDB & MySQL DBA

If you answered YES to any of these questions, this session is for you! There’s never been a more challenging, yet more exciting time to be a MySQL or MariaDB database administrator.
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Make Big Data Work in the Cloud

waterlinedata.com

As companies shift their Big Data to the cloud and hybrid environments, the need for Big Data analytics and a corresponding long-term analytics strategy has become increasingly critical. Here’s your opportunity to listen to experienced Big Data practitioners articulate their best practices in building successful, long term analytics architectures.
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Spotlight

IT departments within large organizations struggle with a common problem of infrastructure and operational management. Infrastructure components (such as storage, server, network devices, etc.) that support business critical applications generate thousands of alerts per day that report on the health of these components. Furthermore, thousands of incident tickets also get created manually. It is labor intensive and expensive to analyze all of these alerts and incidents to extract information and improve operational efficiency.

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