Data Lake Data Processing Data Transformation 
AWS Big Data
JULY 20, 2023
With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.
AWS Big Data
DECEMBER 13, 2023
In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Big Data
SEPTEMBER 5, 2024
Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.
AWS Big Data
AUGUST 13, 2024
With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Choose Store a new secret.
AWS Big Data
AUGUST 19, 2024
This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. Refer to Editing AWS Glue managed data transform nodes for more information.
AWS Big Data
MARCH 3, 2023
Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.
AWS Big Data
AUGUST 1, 2024
However, you might face significant challenges when planning for a large-scale data warehouse migration. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring. Platform architects define a well-architected platform.
Expert insights. Personalized for you.
88 
Let's personalize your content