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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure js and React.js.

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

They point to statistics that highlight challenges in IT workforce recruitment and diversity. White, a 2001 Morgan State University graduate with a bachelor’s in computer science, speaks from experience: He had two pivotal internships that propelled his professional career. Shanmugham, a database and middleware manager at NCDIT.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos. Reports required a formal request of the few who could access that data. Slow requirements led technology leaders to demand proactive business intelligence.

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Tukey did this paper. It’s a great read.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. Inevitably, patients with risk factors that are excluded from the model’s adjustments present a threat to each surgeon’s statistics.

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