AWS Big Data Blog

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Migrate to an Amazon Redshift Lake House Architecture from Snowflake

The need to derive meaningful and timely insights increases proportionally with the amount of data being collected. Data warehouses play a key role in storing, transforming, and making data easily accessible to enable a wide range of use cases, such as data mining, business intelligence (BI) and reporting, and diagnostics, as well as predictive, prescriptive, […]

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Extract, prepare, and analyze Salesforce.com data using Amazon AppFlow, AWS Glue DataBrew, and Amazon Athena

As organizations embark on their data modernization journey, big data analytics and machine learning (ML) use cases are becoming even more integral parts of business. The ease for data preparation and seamless integration with third-party data sources is of paramount importance in order to gain insights quickly and make critical business decisions faster. AWS Glue […]

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Create and reuse governed datasets in Amazon QuickSight with new Dataset-as-a-Source feature

Amazon QuickSight is a fast, cloud-powered, business intelligence (BI) service that makes it easy to deliver insights to everyone in your organization. QuickSight recently introduced Dataset-as-a-Source, a new feature that allows data owners to create authoritative datasets that can then be reused and further extended by thousands of users across the enterprise. This post walks […]

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How Amazon Transportation Service enabled near-real-time event analytics at petabyte scale using AWS Glue with Apache Hudi

This post is co-written with Madhavan Sriram and Diego Menin from Amazon Transportation Services (ATS). The transportation and logistics industry covers a wide range of services, such as multi-modal transportation, warehousing, fulfillment, freight forwarding, and delivery. At Amazon Transportation Service (ATS), the lifecycle of the shipment is digitally tracked and appended to tens of tracking […]

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Optimize performance and reduce costs for network analytics with VPC Flow Logs in Apache Parquet format

VPC Flow Logs help you understand network traffic patterns, identify security issues, audit usage, and diagnose network connectivity on AWS. Customers often route their VPC flow logs directly to Amazon Simple Storage Service (Amazon S3) for long-term retention. You can then use a custom format conversion application to convert these text files into an Apache […]

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How Viasat scaled their big data applications by migrating to Amazon EMR

This post is co-written with Manoj Gundawar from Viasat. Viasat is a satellite internet service provider based in Carlsbad, CA, with operations across the United States and worldwide. Viasat’s ambition is to be the first truly global, scalable, broadband service provider with a mission to deliver connections that can change the world. Viasat operates across […]

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Continuous monitoring with Sumo Logic using Amazon Kinesis Data Firehose HTTP endpoints

Amazon Kinesis Data Firehose streams data to AWS destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and Amazon OpenSearch Service (successor to Amazon Elasticsearch Service). Additionally, Kinesis Data Firehose supports destinations to third-party partners. This ability to send data to third-party partners is a vital feature for customers who already use these […]

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Build and orchestrate ETL pipelines using Amazon Athena and AWS Step Functions

Extract, transform, and load (ETL) is the process of reading source data, applying transformation rules to this data, and loading it into the target structures. ETL is performed for various reasons. Sometimes ETL helps align source data to target data structures, whereas other times ETL is done to derive business value by cleansing, standardizing, combining, […]

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Implement a slowly changing dimension in Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. A star schema is a database organization structure optimized for use in a data warehouse. In a star schema, a dimension is a structure that categorizes the facts and measures in order to enable you to answer business questions. The attributes (or […]

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Prepare, transform, and orchestrate your data using AWS Glue DataBrew, AWS Glue ETL, and AWS Step Functions

Data volumes in organizations are increasing at an unprecedented rate, exploding from terabytes to petabytes and in some cases exabytes. As data volume increases, it attracts more and more users and applications to use the data in many different ways—sometime referred to as data gravity. As data gravity increases, we need to find tools and […]

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