AWS Big Data Blog

Category: Enterprise Strategy

How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. The data mesh, built on Amazon DataZone, simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. As a result, the data solution offers benefits such as faster access to data, expeditious decision making, accelerated time to value for use cases, and enhanced data governance.

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

In this post, we show how to migrate a data warehouse from Microsoft Azure Synapse to Redshift Serverless using AWS Schema Conversion Tool (AWS SCT) and AWS SCT data extraction agents. AWS SCT makes heterogeneous database migrations predictable by automatically converting the source database code and storage objects to a format compatible with the target database.

Migrate Google BigQuery to Amazon Redshift using AWS Schema Conversion tool (SCT)

Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]

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Migrate from Snowflake to Amazon Redshift using AWS Glue Python shell

Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price-performance. Tens of thousands of customers use Amazon Redshift to analyze exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics without having to manage the data warehouse infrastructure. It natively integrates with other AWS […]

Copy large datasets from Google Cloud Storage to Amazon S3 using Amazon EMR

Data migration between GCS and Amazon S3 is possible by utilizing Hadoop’s native support for S3 object storage and using a Google-provided Hadoop connector for GCS. This post demonstrates how to configure an EMR cluster for DistCp and S3DistCP, goes over the settings and parameters for both tools, performs a copy of a test 9.4 TB dataset, and compares the performance of the copy.

Unified serverless streaming ETL architecture with Amazon Kinesis Data Analytics

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Businesses across the world […]

How Goldman Sachs builds cross-account connectivity to their Amazon MSK clusters with AWS PrivateLink

August 2023: Amazon MSK now offers a managed feature called multi-VPC private connectivity to simplify connectivity of your Kafka clients to your brokers. Refer this blog to learn more. This guest post presents patterns for accessing an Amazon Managed Streaming for Apache Kafka cluster across your AWS account or Amazon Virtual Private Cloud (Amazon VPC) […]