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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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A Data Analyst’s Guide to the Data Catalog

Alation

They contain intelligent SQL query editors, which analysts can link to directly from asset profiles, meaning they no longer need to move to a separate tool to obtain the data once they’ve located it. Download the white paper today. Increasingly, catalogs also facilitate access to the data.

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Self-Service BI: A Case of Trust Working Both Ways?

Alation

New BI toolsets, such as BusinessObjects and Cognos, started to emerge; these allowed ad hoc queries to be composed without the need to write SQL. (I And with interfaces potentially ranging from SQL editors to natural language processing, self-service for all may require a chameleon or suite of solutions to suit the individual.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

These two resources can help you get started: White paper: How to Evaluate a Data Catalog. For instance, technical power users can explore the actual data through Compose , the intelligent SQL editor. Those less familiar with SQL can search for technical terms using natural language.

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TigerGraph tutorial: how to integrate with ReGraph

Cambridge Intelligence

TigerGraph GraphDB is built on a distributed native graph database, with a SQL-like query language called GSQL, and integrated tooling that makes it a popular enterprise choice. TigerGraph Cloud is a more accessible version which is ideal for building proof-of-concept models.

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C++ safety, in context

Hacker News

automated testing, hardcoded secrets, enabling OS protections, string/SQL injections, software bills of materials). Most of the issues listed in NISTIR-8397 affect all languages equally, as they go beyond memory safety (e.g., Log4j ) or even programming languages (e.g., More on this in the Call to Action.)

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