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Database lifecycle management methodologies—which involve coordinated processes, tools, and people—are emerging to address growing complexity within data environments.
Organizations have directed a lot of attention recently to consolidation, automation, and cloud efforts in their data management environments. This will purportedly result in decreased demand for data managers and the need for fewer DBAs per groups of databases. However, the opposite seems to be occurring. In actuality, there is a growing need for more talent, as well as expertise to manage through growing complexity. A new survey, sponsored by I...
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If you’re responsible for a Data Science team of more than three or four it’s time to start thinking about productivity and efficiency.
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Our CEO, Yaniv Mor, explains why accelerating “time-to-insight” has become today’s top data challenge and 4 tips to shorten the time between data integration and analytics.
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We are proud to announce a new company milestone: we've processed more than 1 trillion data records to date on behalf of our customers!
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Datafloq - Survey Shows Enterprises Struggling with Bad Data
There is an alarming issue at hand with organizations using Big Data: companies are struggling to detect and keep bad data out of their stores.
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In this guest post, our CEO, Yaniv Mor, explains why the key to actionable business intelligence — the kind of data insights that provide real value in making decisions about how to run your company — is about having the right kind of data, not having massive volumes of data. http://buff.ly/293zoJw
Data is a central part of smart business decisions today, so it can be tempting to think it’s important to collect everything and anything when it comes to data. But gathering huge amounts of in
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You can't ensure data will be protected all the time. But you can ensure you are taking the right safety precautions.
Security challenges are a side effect of an increasingly interconnected world and you should protect your company from big data and IoT security issues.
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Businesses have to realize that they don’t have a big data problem, rather that they have a big data management problem.
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The most common ways to secure data storage involve encrypting the data and creating multiple layers of backup. However, there are other important strategies that businesses must invest in for a more sophisticated data storage security system.
Data storage security means protecting data sufficiently from unintended loss or corruption, as well as securing the data from unauthorized access.
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“We must ensure that we are the masters of the data revolution, and avoid the risk of being enslaved by it.”
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Collecting data will help mobile app developers understand what consumers want and expect from a brand. Plus, data helps companies analyze their own practices versus consumer reaction to make adjustments to assist with brand growth.
There's so much that goes into mobile app development and sales. Have you thought about how Big Data influences the work that you are doing? Begin your next project with these things in mind. Here are 7 ways that Big Data is ...
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Much like the Fibonacci sequence appears repeatedly in nature, there are recurring patterns in data that, once recognized, can improve both our analytics and our efficiency in creating them.
Much like the Fibonacci sequence appears repeatedly in nature, there are recurring patterns in data that can improve your analytics and insights.
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Xplenty is an intuitive, coding-free, Platform as a Service powered by Hadoop. Easily crunch your big data and derive actionable business insights.
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