Author: Tamara Astakhova

With increasing focus on IoT, AI/ML and generative AI, SAP data provides an unified view of business-critical information by streamlining operations, improving decision-making, and driving innovation. In this blog, we explore optimizing data management by leveraging a modern data architecture on AWS, and discuss how Fivetran automated SAP data replication accelerates enterprise processes and unlocks insights.

Precisely, a global leader in data integrity, provides data accuracy, consistency, and context for 12,000 customers worldwide. This blog describes how using the Precisely Geo Addressing solution on Amazon EMR, users can take large address datasets, create an accurate master dataset, and extract valuable metadata for further analysis at scale.

By Nidhi Gupta and Tamara Astakhova, Sr. Partner Solutions Architect – AWS Battulga Purevragchaa, Sr. Partner Solutions Architect at AWS Nijjwol Lamsal, Senior Partner Engineer, Cloudera Balazs Gaspar, Product Manager, Cloudera Cloudera Data Platform (CDP) is a hybrid data platform that manages, secures and connects the data lifecycle on AWS, it is an enterprise data platform […]

AWS PrivateLink allows customers to securely connect cloud and on-premises data sources to Alation’s data catalog without exposing traffic to the public internet. This integration provides private connectivity between the customer’s VPC and Alation Cloud Service and simplifies network architecture. Using PrivateLink with Alation enables organizations to build a catalog of metadata from selected data assets while maintaining compliance with security and regulatory requirements.

Fivetran and Amazon Redshift Serverless help companies integrate data from various sources into a centralized data warehouse. This allows for automated data movement, transformation, and scalability without infrastructure management. Together, Amazon Redshift Serverless and Fivetran offer connectors to over 250 data sources and reliable analytics so organizations can make better data-driven decisions.

To collect massive amounts of time-critical data, setting up data streaming pipelines is essential. The combination of Qlik Talend data integration and Amazon Kinesis provides a complete solution for easily building, running, and maintaining streaming data pipelines with low operational overhead. Learn how Qlik Talend with Amazon Kinesis supporting Spark streaming enables an accessible, no-code methodology for building Spark streaming pipelines leveraging the power of AWS.