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What Is SSIS and Should You Use It?

Seattle Data Guy

As a key part of Microsoft’s SQL database software, It allows you to easily complete many complex tasks, including data extraction, merging data, loading and transformation, aggregating data, and more. It’s a comprehensive solution to your data management needs. appeared first on Seattle Data Guy.

IT 130
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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

SQL 105
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Unleashing the Power of Data Collaboration

databricks

In today's data-driven landscape, organizations face the challenge of aggregating data to derive meaningful insights that enrich audience profiles. Traditional data integration methods.

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Engineering SQL Support on Apache Pinot at Uber

Uber Engineering

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform. .

SQL 134
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Debugging of a Stream-Table Join: Failing to Cross the Streams

Confluent

Joining two topics to aggregate data is fundamental in stream processing, but it’s not easy. Learn how to use kcat to debug and ensure two topics use the same keys in the same partitions.

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Why I Prefer Cloudera CDP

Cloudera

As a CDO, I need full data life cycle capability. I must store data efficiently and resiliently, pipe and aggregate data into data lakehouses, and apply machine learning algorithms and AI to uncover actionable insights for our business units. But I have good reasons to prefer CDP! First, fullness. Second, reach.

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25 Tricks for Pandas

KDnuggets

Check out this video (and Jupyter notebook) which outlines a number of Pandas tricks for working with and manipulating data, covering topics such as string manipulations, splitting and filtering DataFrames, combining and aggregating data, and more.