data warehouses
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Migrating a Database? Consider These Factors First Database migration is usually performed with a migration tool or service. Migrating one database to another actually involves migrating the schemas, tables, and data; the software itself is not migrated. Whatever the reason for migration, before you start, explore the options and take these considerations into account. |
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Use Input Data, Output Data, and Analytics to Drive Your Testing The industry keeps growing in complexity, and there are more things than ever that need to be tested. By studying the data you have and making use of modern analytics, you can allow your team to run more smoothly, complete certain tasks with fewer resources, and give yourself a clearer lane to better software. |
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4 Key Factors Driving Digital Transformation There are so many strong reasons why digital transformation has become big, but many organizations are missing a major opportunity by simply running digital projects instead of fully transforming the organization itself—similar to doing some agile things without actually committing to being agile. |
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Data Means Nothing if You Don’t Know How to Use, Analyze, and Interpret It Simply having data stowed away and ready to use when needed is great and all, but if you don’t have a smart strategy for how to not only analyze and interpret it, but also put it to proper use, then you may end up creating a connected ecosystem without a real purpose. |
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The Data Science of Big Data Big data is a science, and luckily, there are plenty of tips out there to help you become a better data scientist, which can also work to make you and your team become more adept at leveraging big data. Read on for some helpful data science takeaways. |
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When Big Data Is a Big Waste One of the biggest fallacies surrounding big data is that it will always lead to valuable information. Big data can be not only a big waste of time, but also a big detriment to your organization. Read on to see if you are making these big data mistakes. |
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Are Tech Companies Keeping Up with the Digitization of Data? We are living in a world where digital data is booming. Architectures and technologies also have been rapidly evolving to keep up with the exponential growth of data by creating a new big data species. This story walks through prospective technologies that have already proven their effectiveness. |
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Best Practices for Big Data Big data can be a fickle beast to tame. Using data the wrong way can sometimes do more harm than good to your project or organization, but don't worry. We have you covered with some best practices on how to approach your big data implementation. Read on to find out more. |
