Remove 2021 Remove Data Lakes Remove Data Pipeline
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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

June 8, 2021 - 8:20pm. June 11, 2021. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. This inertia is stifling innovation and preventing data-driven decision-making to take root. .

Tableau 101
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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

June 8, 2021 - 8:20pm. June 11, 2021. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. This inertia is stifling innovation and preventing data-driven decision-making to take root. .

Tableau 52
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6 Remote AI Jobs to Look for in 2024

ODSC - Open Data Science

billion in 2021 to $331.2 Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. billion by 2026.

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

ODSC - Open Data Science

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. You can watch it on demand here.

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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. They are crucial in ensuring data is readily available for analysis and reporting.

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Why We Started the Data Intelligence Project

Alation

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. As such, it’s a natural learning environment.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

Reasonable scale ML platform In 2021, Jacopo Tagliabue coined the term “reasonable scale,” which refers to companies that: Have ML models that generate hundreds of thousands to tens of millions of US dollars per year (rather than hundreds of millions or billions). Data engineers are mostly in charge of it.