AWS Big Data Blog
Category: Analytics
Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg
As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets. […]
How BMO improved data security with Amazon Redshift and AWS Lake Formation
This post is cowritten with Amy Tseng, Jack Lin and Regis Chow from BMO. BMO is the 8th largest bank in North America by assets. It provides personal and commercial banking, global markets, and investment banking services to 13 million customers. As they continue to implement their Digital First strategy for speed, scale and the […]
Introducing Terraform support for Amazon OpenSearch Ingestion
Today, we are launching Terraform support for Amazon OpenSearch Ingestion. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and manage cloud resources efficiently. OpenSearch Ingestion is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections. […]
Use Amazon OpenSearch Ingestion to migrate to Amazon OpenSearch Serverless
Amazon OpenSearch Serverless is an on-demand auto scaling configuration for Amazon OpenSearch Service. Since its release, the interest for OpenSearch Serverless had been steadily growing. Customers prefer to let the service manage its capacity automatically rather than having to manually provision capacity. Until now, customers have had to rely on using custom code or third-party […]
Empowering data-driven excellence: How the Bluestone Data Platform embraced data mesh for success
This post is co-written with Toney Thomas and Ben Vengerovsky from Bluestone. In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone, a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization. In this post, […]
Enable advanced search capabilities for Amazon Keyspaces data by integrating with Amazon OpenSearch Service
In this post, we explore the process of integrating Amazon Keyspaces and Amazon OpenSearch Service using AWS Lambda and Amazon OpenSearch Ingestion to enable advanced search capabilities. The content includes a reference architecture, a step-by-step guide on infrastructure setup, sample code for implementing the solution within a use case, and an AWS Cloud Development Kit (AWS CDK) application for deployment.
Simplify data streaming ingestion for analytics using Amazon MSK and Amazon Redshift
Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK), eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift. Streaming ingestion from Amazon […]
Combine AWS Glue and Amazon MWAA to build advanced VPC selection and failover strategies
AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. AWS Glue customers often have to meet strict security requirements, which sometimes involve locking down the network connectivity allowed to the job, or running inside […]
Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum
You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements. Each of these sensor devices could be transmitting data with unique […]
Simplify authentication with native LDAP integration on Amazon EMR
Many companies have corporate identities stored inside identity providers (IdPs) like Active Directory (AD) or OpenLDAP. Previously, customers using Amazon EMR could integrate their clusters with Active Directory by configuring a one-way realm trust between their AD domain and the EMR cluster Kerberos realm. For more details, refer to Tutorial: Configure a cross-realm trust with […]