Remove Big Data Remove Business Analytics Remove Data Collection Remove Structured Data
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Understanding Structured and Unstructured Data

Sisense

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Understanding data structure is a key to unlocking its value. Structured vs unstructured data.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I am on record multiple times [4] stating that technology choices are much less important than other aspects of data work. However, it is hard to ignore the impact that Big Data and related technologies have had. A few years into the cycle of Big Data adoption, do you see the tools and approaches yielding the expected benefits?

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How Jabil is building better, faster enterprise reporting

IBM Big Data Hub

Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user, but before they made the switch to BA almost 15 years ago, they were using excel and spending most of their financial planning time trying to determine which numbers were most true for planning purposes. We can’t even see where the bar used to be.”.

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What is a Data Pipeline?

Jet Global

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).