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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. Machine learning The 6 key trends you need to know in 2021 ? Automation Automating data pipelines and models ➡️ 6.

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Supercharging Your Data Pipeline with Apache Airflow (Part 2)

Heartbeat

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

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How a modern data stack is unlocking agility across the retail industry

Tableau

May 19, 2021 - 3:54pm. May 19, 2021. Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Jeff Huckaby. Kristin Adderson.

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

Feature Platforms The Rise of Feature Stores —  In 2021, the machine learning industry witnessed the emergence of feature stores , a solution that enables teams to store and share features. A feature platform should automatically process the data pipelines to calculate that feature. Spark, Flink, etc.)

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Your data in the cloud. Francois Ajenstat. Chief Product Officer, Tableau.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. This section explores essential aspects of Data Engineering.