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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. They are the same.

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Breaking down Business Intelligence

BizAcuity

His name was William Gosset and he is credited to have developed the student t-test. Data allowed Guinness to hold their market dominance for long. Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence.

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Automate schema evolution at scale with Apache Hudi in AWS Glue

AWS Big Data

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. Apache Hudi supports ACID transactions and CRUD operations on a data lake. Start the AWS DMS task.

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Doing Cloud Migration and Data Governance Right the First Time

erwin

The desire to modernize technology, over time, leads to acquiring many different systems with various data entry points and transformation rules for data as it moves into and across the organization. Map data movement: erwin DI’s Mapping Manager defines data movement and transformation requirements via drag-and-drop functionality.

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With a zero-ETL approach, AWS is helping builders realize near-real-time analytics

AWS Big Data

They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3). After running analytics, the insights can be made available broadly across the organization with Amazon QuickSight , a cloud-native, serverless business intelligence service.

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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created.

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How GamesKraft uses Amazon Redshift data sharing to support growing analytics workloads

AWS Big Data

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.