How to Modernize Data Lake Technologies with Cloud-Based Solutions

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

OTHER ON-DEMAND WEBINARS

What is the GDPR and how will it affect the way you handle data?

CASERTA

GDPR affects companies in the United States and Canada. Failure to comply with the GDPR could result in fines of up to $20 million or higher. Join us to learn: - What is the GDPR and severe consequences of non-compliance - What are the eight main GDPR requirements - How ready is your company and what you can do now
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Visualizing Asset Protection in a Big Data World

infogix

Data breaches are in the news nearly every day as companies struggle to protect their customers’ greatest assets their personal information. From the theft of credit card information and personal health records to critical business information leakage; the threats are constant. Certainly, firewalls and endpoint protection are critical and necessary, but what about data controls and analytics? In this one hour webinar you will hear the latest on how companies are leveraging end-to-end controls, monitoring an analytics solutions to meet information privacy and security compliance standards. Even better, you will hear directly from Kemper, a leading insurer with $8B in assets, and learn how they are approaching information security risk management.
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Under The Hood Of A Shard-Per-Core Database Architecture

Most databases are based on architectures that pre-date advances to modern hardware. This results in performance issues, the need to overprovision, and a high total cost of ownership. In this webinar, we will discuss the advances to modern server technology and take a deep dive into ScyllaDB’s shard-per-core architecture and our asynchronous engine, the Seastar framework.
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6 Steps for a Successful Data Migration

Did you know that most migrations fail in some way, either missing project deadlines, overshooting budgets, or running into complications in the new environment? A lack of visibility into data can seriously jeopardize—and sometimes even ruin—a migration project.
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