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The Future of LLMs and Spatial Computing with @mad.marchy: TDI 17

Data Science 101

Having the ability to “load in” vast amounts of information and data, then being able to speak directly to the data, is invaluable for progress. Spatial computing, in a nutshell, is providing a way for devices to communicate and share data directly with an intuitive interface.

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7 Ways Data Monetization is Changing the Information Technology Job Market

Smart Data Collective

Data processing specialists who have at least some experience turning raw numbers into actual insights might soon find a number of careers open to them. Data engineers who’ve previously worked in the financial or telecommunications sectors may find this to be a rewarding field to get into.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering.

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Why Is Metadata Discovery Important? (+ 5 Use Cases)

Octopai

On a scale of 1 to 10, rate the difficulty of the following tasks: Searching for a needle in a haystack Finding an earring that fell off in the Mall of America Tracking down every appearance of a given customer’s birthdate amongst 100K+ data assets across your entire BI landscape. You collect data to use it. Use it or lose it.

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How to get Hadoop and Spark up and running on AWS

Insight

Are you interested in working on high-impact projects and transitioning to a career in data? Installing Spark from scratch and getting it to run in a distributed mode on a cloud computing system can be a hurdle for many new data engineers. Sign up to learn more about the Insight Fellows programs and start your application today.

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Next generation tools for data science

The Unofficial Google Data Science Blog

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer.

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What Does a Data Engineer’s Career Path Look Like?

Smart Data Collective

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025. Learn Programming.