Category: Amazon Redshift

As data becomes increasingly valuable, robust security measures are critical. This post reviews how Protegrity’s tokenization integration with Amazon Redshift Dynamic Data Masking enables organizations to effectively protect sensitive data. It provides an overview of key concepts like Protegrity Vaultless Tokenization and Redshift Dynamic Data Masking, including code examples to better safeguard sensitive information within their Redshift data warehouse both at rest and in use.

Many organizations struggle with data silos and manual processes. Apps Associates helps companies build modern data platforms using Amazon Redshift, which consolidates data sources, reduces manual effort, and unlocks valuable insights. The Apps Associates accelerators quickly integrate data from ERP/CRM systems into Redshift to enable advanced analytics while driving cost reductions and revenue growth.

Verana Health leverages an exclusive real-world data network and AI-enhanced data engine to transform healthcare data into curated, disease-specific data modules called Qdata. This powers Verana’s analytics solutions for real-world evidence generation, clinical trials, quality reporting, and registry data management to enhance patient care and quality of life. Through AWS Data Exchange and Amazon Redshift, Verana offers life sciences customers easy, convenient access to high-quality clinical real-world data for research.

Shipsy is an AWS Partner and AI-powered logistics management platform that streamlines supply chain operations. Shipsy’s business intelligence platform leverages AWS to deliver a robust, cost-effective analytics infrastructure that provides rapid, reliable insights from operational data. It enables powerful visualization and equips businesses with the tools needed to evaluate performance and boost data-driven decision making.

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.

Online analytical processing (OLAP) is a method of organizing datasets in a multi-dimensional format for quick analysis and provides deeper insights for decision-makers. Multi-dimension analysis is widely adopted by analysts, knowledge users, and power users for their decision support process. Learn how utilizing AWS analytic services and migration tools together with HCLTech frameworks to orchestrate OLAP solutions.

Sisense Fusion Embed and Amazon Redshift Serverless provide customers with an integrated and seamless AI-powered data analytics experiences combined with predictive intelligence, natural language querying, and more. Together, these solutions enable data-driven decisions and deliver business insights at the point of decision making. Explore the benefits and synergy of these two powerful data solutions and how they can help organizations turn data into actionable insights.

With Amazon Redshift Serverless, users can run and scale analytics workloads seamlessly, paying only for the compute and storage resources they consume. Businesses often have a need to use change data capture (CDC) to quickly and easily load incremental data to data warehouses. Learn how to load data easily into Amazon Redshift Serverless using Matillion Data Loader, and see an example of CDC loading from PostgreSQL to Amazon Redshift Serverless as the destination.

Companies are looking to extract more value from their data but often struggle to capture, store, and analyze all of the data they generate. Data governance includes a broad set of capabilities, and the right solution is often dependent upon customer requirements as well what services an organization already has in place. Learn how PrivaceraCloud provides a unified and holistic way to manage, define, and enforce policies across storage, compute engines, and consumption methods.

Amazon Redshift Serverless makes it easier to run and scale analytics without the burden of managing infrastructure. Learn how you can use Matillion Data Loader to extract data from source systems and load it to Amazon Redshift Serverless without having to worry about coding or managing infrastructure. Matillion Data Loader enables organizations that have data coming in from an ever-increasing number of sources and need faster, simpler access to insights and analytics.