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SQL Streambuilder Data Transformations

Cloudera

As an essential part of ETL, as data is being consolidated, we will notice that data from different sources are structured in different formats. It might be required to enhance, sanitize, and prepare data so that data is fit for consumption by the SQL engine. What is a data transformation?

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DataOps Should Be Part of Everyone on the Data Team

DataKitchen

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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Alation Steps Up APAC Presence Following Strong Growth

Alation

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. Data time-to-value: evaluates how long it takes you to gain insights from a data set. This is due to the technical nature of a data system itself.

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Alation Steps Up APAC Presence Following Strong Growth

Alation

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

In addition to driving operational efficiency and consistently meeting fulfillment targets, logistics providers use big data applications to provide real-time updates as well as a host of flexible pick-up, drop-off, or ordering options. Use our 14-days free trial today & transform your supply chain!

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