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By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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     Waterline Data & Research Partners
By: Dell EMC     Published Date: Mar 18, 2016
Big Data brings unquestionable value to any organization. But as it continues to grow in volume, more sources and increased storage capacity needs grow with it, taxing the performance of existing infrastructures. But you don’t have to be stuck in such a dismal place. Make the trip to Data Lake instead.
Tags : emc, data lake, big data, storage, infrastructure
     Dell EMC
By: Astaro     Published Date: Aug 10, 2009
Previously, the network at the City of Lake Wales didn't possess any firewalls, intrusion protection or web filtering solutions. As a result the network, which is spread out to multiple locations (including law enforcement), was left wide open to security breaches and caused system performance problems as users unwittingly picked up spyware and malware.
Tags : astaro, security, gateway, cisco pix, web filtering, intrusion protection, firewall, firewalls, network, spyware, malware, astaro, integrated security solution, surfcontrol, pix, cisco, firewall, internet security, devine lake wales, failover
     Astaro
By: SnowFlake     Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
Tags : snowflake, data, technology, enterprise, application, best practices, social media, storage
     SnowFlake
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