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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

,” said Tyler Carlson, VP of business development and strategic partnerships at Salesforce. Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work.

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Benefits of Data Dictionary Tools for Enterprise Metadata Management

Octopai

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. Download Now.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

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Top 3 Tableau Alternatives for Data Analysis in the 21st Century

FineReport

It was an American interactive data visualization software company of business intelligence. Free Download. Data Management. Tableau : There are specialized modules to manage metadata. FineReport: When organizing data management, we may face data source replacement. FineReport. Learning path.

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The Key to Faster Impact Analysis: Automated Data Lineage

Octopai

Business intelligence databases are dynamic repositories that must often be adjusted based on organizational and or regulatory requirements. Download the webinar. Automated Data Lineage Reduces Total Time to a Fraction. Faced with these data limitations, the insurance company reached out to Octopai.

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Manage your workloads better using Amazon Redshift Workload Management

AWS Big Data

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. The Iceberg table is synced with the AWS Glue Data Catalog.

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