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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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Using Cloudera Data Engineering to Analyze the Paycheck Protection Program Data

Cloudera

This blog illustrates how Cloudera Data Engineering (CDE), using Apache Spark , can be used to produce reports based on the PPP data while addressing each of the challenges outlined above. A mock scenario for the Texas Legislative Budget Board (LBB) is set up below to help a data engineer manage and analyze the PPP data.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. Looker is an enterprise platform for BI and data applications that helps data analysts explore and share insights in real time.

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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

And yes, Citus Con is virtual again this year! This means you can watch all the livestream & on-demand talks from the comfort of your very own desk—and chit-chat in the virtual hallway track on the #cituscon channel on Discord. So what’s on the schedule at Citus Con: An Event for Postgres 2023 , exactly?

Azure 84
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Apiumhub becomes Data Innovation Summit Partner

Apiumhub

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Solution overview SageMaker Studio is a fully integrated development environment (IDE) for ML that enables data scientists and developers to build, train, debug, deploy, and monitor models within a single web-based interface. He helps customers architect and build highly scalable, performant, and secure cloud-based solutions on AWS.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

With Snowflake, multiple data workloads can scale independently from one another, serving well for data warehousing, data lakes , data science, data sharing, and data engineering. BTW, we have an engaging video explaining how data engineering works. The pros of Snowflake data warehouse.