Category: Analytics

Relay42 is a Customer Data Platform (CDP) built to enable marketers to personalize their marketing activities across all touchpoints of the customer journey in real time. In this blog post, you will learn how Relay42 Insights and Reporting module provide marketers with deeper insight into their consumers, their behaviors, and interests using Relay42’s CDP and Amazon QuickSight.

Snowflake By Daniel Wirjo, Solutions Architect – AWS By Benny Chun, Solutions Architect – AWS By Bosco Albuquerque, Sr. Partner Solutions Architect – AWS By Hans Siebrand, Cloud Data Architect – Snowflake By Matt Marzillo, Sr. Partner Engineer – Snowflake With recent advancements, building a data platform to provide a data foundation for generative AI […]

HCLTech’s Intelligent Ingestion solution provides automated low-code to no-code approach, simplifying ETL build efforts for both batch and real-time data ingestion workloads. It is built using rich set of AWS services like AWS Step Functions, AWS Glue, AWS Glue DataBrew, AWS Lambda, AWS Lake Formation, Amazon Kinesis, Amazon S3, Amazon Simple Notification Service (SNS), etc., among other services to achieve seamless data integration, transformation and quality assurance. This solution entirely automates ETL ingestion upon a single click (event trigger) and provides reusable ETL workflows for rapid ETL development. It also brings quick actionable insights and decision making into business.

By Israel Mendes, Data Engineering leader – Caylent By Washim Nawaz, Analytics Specialist – AWS By Isaac Owusu-Hemeng, Customer Solutions Manager – AWS By Muz Syed, Sr. Partner Solutions Architect – AWS Caylent  In this post, we will discuss how APN Premier partner Caylent leveraged a 3-Day Experience Based Acceleration (EBA) workshop to finalize and […]

When designing IT solutions, a one-size-fits-all approach misses opportunities for performance and cost savings. Exxeta proposes a use-case driven architecture approach that fits IT components to specific business processes. A real-world example shows how this approach helped an automotive company build a high-performance, scalable analytics solution at a lower cost by utilizing fit-for-purpose technologies like Apache HBase and Amazon S3.

The 3-2-1 backup strategy ensures data protection by maintaining multiple copies across different storage media, with at least one copy offsite. As companies adopt SaaS applications, they need strategies to backup critical SaaS data. Own Company (formerly OwnBackup) enables SaaS data backups to Amazon S3, providing data autonomy, meeting recovery objectives, and allowing data analysis.

Organizations face increasing demands for transparency around environmental, social, and governance (ESG) matters. PwC’s Unified Sustainability Hub helps access and manage ESG data, providing automated data ingestion, a centralized view of sustainability performance, intelligent data extraction, carbon accounting, reporting/analytics, forecasting capabilities, and a generative AI assistant. It accelerates sustainability transitions by integrating stakeholders, processes, and standards.

Business intelligence (BI) teams aim to automate Amazon QuickSight asset deployment across environments. CyberCX developed a solution using AWS Step Functions to orchestrate exporting QuickSight analyses from one environment and importing them to another, simplifying migration. This reusable module integrates with CyberCX’s broader serverless data platform but can standalone. The entire solution is designed with security in mind and follows the principles of least privilege access.

Amazon Q and generative BI are transforming business operations, and AWS Partners like ZS Associates, Tiger Analytics, and Compass UOL are pioneering use cases leveraging these technologies to build industry-tailored solutions that improve decision making, operations, fraud detection, software development lifecycles, and more. AWS provides resources to help partners develop and deploy such transformative generative AI offerings.

The Amazon Athena Teradata Connector enables Athena to query data in Teradata Vantage using SQL, and comprises two AWS Lambda functions for metadata and record reading. This post describes deploying the connector, creating a Lambda layer for the Teradata JDBC driver, and running queries on Teradata from Athena, including a federated query joining Teradata and S3 data. This provides a scalable, serverless way to analyze data across different data stores without data duplication.