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

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. 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.

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. There are four types of data analytics for various marketing reasons. Most marketers assume behavior analytics are enough since they’re so valuable. Segmentation.

Marketing 119
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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.” Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. js and React.js.

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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

As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests. First, data and analytics teams never were comfortable ceding control up to business teams.

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Data Discussion Lessons from Brad Pitt

Juice Analytics

From: Ocean's Eleven (2001) Now imagine yourself giving a pep talk to the next email, PowerPoint slide, or dashboard that you are about to send out. Messages must be clear and focused and eliminate the unnatural, mechanical chart headings and the unnecessarily complex statistical jargon. What’s the point?” Be honest. “I

Metrics 100
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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 work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. Tukey did this paper.