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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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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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Why the Data Journey Manifesto?

DataKitchen

The DataOps Manifesto is a useful set of principles to guide your understanding of these powerful, grounded, industry-spanning ideas on improving technical team productivity, delivery quality, and cycle time in data analytics. So today, another fundamental idea needs to be defined and given the manifesto treatment: the Data Journey.

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Data Journey First DataOps

DataKitchen

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. The Why and How of ‘Data Journey First DataOps’ Let’s start with the ‘why.’

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

For the data used to create this solution, we partnered with FactSet , a leading financial data, analytics, and open technology provider. FactSet has several datasets available in the AWS Data Exchange marketplace, which we used for reference data.

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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). option("header", "true").option("inferSchema",

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Align, Engage and Rave: 3 Things I Wish I Knew as Chief Data Officer

Cloudera

Align everything to corporate strategy I lead data and analytics at Cloudera. We’re called Cloudera Data Analytics (CDA). Prior to forming the group, it was imperative to understand Cloudera’s corporate strategy: corporate objectives, product strategy, go-to-market strategy, key metrics and KPI. How very clever.

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