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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. Apache Flink is a distributed open source engine for processing data streams.

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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

One-time and complex queries are two common scenarios in enterprise data analytics. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios.

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Data analytics and AI on and off the court in Orlando

CIO Business Intelligence

In terms of analytics and data management, he adds, it was in 2010 when the Magic first began to see their potential, and Riola was there from day one of the initial partnership with SAS. Big data became a growing field at the time,andthe ticketing industry was being disrupted byonlineresale markets, he says.We

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Simplify real-time analytics with zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse

AWS Big Data

At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse , simplifying how organizations handle data analytics and AI workflows. Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with AWS.

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Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

Anusha Challa is a Senior Analytics Specialist Solutions Architect focused on Amazon Redshift. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises. She is passionate about data analytics and data science. Debu Panda is a Senior Manager, Product Management at AWS.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7