In this post, we show you how to migrate your data warehouse schema from Snowflake to Amazon Redshift using AWS Schema Conversion Tool (AWS SCT). AWS SCT is a service that makes heterogeneous database migrations predictable by automatically converting the source database schema and a majority of the database code objects, including views, stored procedures, and functions, to a format compatible with the target database.
In this post, we demonstrate how the Paytm Central Data Platform team migrated their data pipeline to AWS and modernized it using Amazon EMR, Amazon Simple Storage Service (Amazon S3) and underlying AWS
The job trigger runs a new Step Functions workflow to run a compute job on premises and provides the necessary information (such as priority and required resources). The job manager communicates with the on-
This cluster acts as the destination for Kinesis Data Firehose and stores all the Amazon SES email sending events in the table, as shown in the following screenshot. In this solution, you publish Amazon SES email
You can also detect drift through model quality monitoring, which requires capturing actual values that can be compared with the predictions. The data drift monitoring task continuously profiles the input data, compares it
When you use UNLOAD in a SELECT query statement, it writes the results into Amazon S3 in specified data formats of Apache Parquet, ORC, Apache Avro, TEXTFILE, and JSON. The UNLOAD statement is
This text outlines a data solution for city planning involving a fictional city, using an end-to-end data pipeline following the MDW architecture. The pipeline includes Azure services for data orchestration and storage, with DevOps and DataOps processes for data analysis. This solution helps assess parking usage, aiding in informed decision-making.
Flexible with minimum maintenance – To configure Kinesis Data Firehose with the Coralogix API as a destination, you only need to set up the authentication in one place, regardless of the amount of services or integrations providing the actual data. Keeps monitoring simple – With
Amazon QuickSight is a serverless, cloud-based business intelligence (BI) service that brings data insights to your teams and end users through machine learning (ML) powered dashboards and data visualizations, which can be access via QuickSight or embedded in apps and portals
Update the Kerberos Key Distribution Center (KDC) to create a new service principal and keytab changes. Create the Kerberos security configuration using the AWS Command Line Interface (AWS CLI) as follows (this creates the KDC on the EMR primary node):
Policy evaluation – Lake Formation evaluates the effective permissions based on LF-tags at query time and allows access to data through consuming services such as Amazon Athena, AWS Glue, Amazon
Use cases for Amazon Redshift streaming ingestion center around working with data that is generated continually (streamed) and needs to be processed within a short period (latency) of its generation. In this
The following shows a simple clinical quality business Data Vault model using Amazon Redshift materialized views. Healthcare clinical quality metric systems stream massive amounts of structured and semi-
In this post, we share how SailPoint updated its platform for big data operations, and solved scaling issues by migrating legacy big data applications to Amazon EMR on Amazon EKS . SailPoint acquired a
