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Using Cloudera Data Engineering to Analyze the Paycheck Protection Program Data

Cloudera

Analysis of this data presents three challenges. First, the size of the data is significant. The amount of time to pull, curate, transform, retrieve and report on that data is time intensive. Second, the data set is likely to evolve, which will consume additional development time and resources. Objective.

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Galileo emerges from stealth to streamline AI model development

TechCrunch

A separate Gartner report found that only 53% of projects make it from prototypes to production, presumably due in part to errors — a substantial loss, if one were to total up the spending. As for Sheth, he also worked at Google as a staff software engineer, managing the Google Speech Recognizer platform.

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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Data Quality and Standardization. Deployment. If the product isn’t “viable” (i.e.,

Marketing 145
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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning - AI

Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake. They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth.

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Cloudera Uses CDP to Reduce IT Cloud Spend by $12 Million

Cloudera

We were required to report back on a weekly basis with our progress and overall trajectory. This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.

Cloud 93
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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). We selected change data capture as our first use case on Iceberg.

Data 91