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Introducing Amazon Q data integration in AWS Glue

AWS Big Data

Amazon Q Developer can also help you connect to third-party, software as a service (SaaS), and custom sources. Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. Configure an IAM role to interact with Amazon Q.

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

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What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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What is Data Mapping?

Jet Global

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

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The Best Embedded BI Tools For 2024

FineReport

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. Embedded BI tools have emerged as a transformative force, seamlessly integrating analytical capabilities directly into existing software applications.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Iceberg is a 100% open-table format, developed through the Apache Software Foundation , which helps users avoid vendor lock-in and implement an open lakehouse. . These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. Cloudera Machine Learning .