Category: Amazon Redshift
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.
Amazon Redshift is a column-oriented database management system that stores data in columns, making it quicker to analyze data. The platform also performs a continuous backup of data, eliminating the risk of losing data or the need to plan for backup hardware. Learn how Hexaware’s automated platform, Amaze for Data & AI, transforms on-premises data warehouse ecosystems to the cloud while ensuring business keeps running smoothly and uninterrupted.
A new, data-as-a-product paradigm helps make data more consumable while promoting domain-oriented decentralization of ownership. Learn how Accenture helps enterprises implement decentralized domain-driven architectures and deliver data products by leveraging AWS. In particular, we’ll review how new features in Amazon Redshift, such as data sharing and integration with AWS Data Exchange, can help accelerate time-to-market delivery of data products to increase business value.
Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements has become more complex. Learn how Qlik integrates with Amazon Redshift to simplify data sharing to ensure efficient collaboration and development of business insights that can drive decision-making. Qlik’s Active Intelligence Platform allows for open-ended, curiosity-driven exploration, giving everyone the ability to make real discoveries that lead to outcomes and transformative changes.
Most enterprise customers are trying to migrate their on-premises data warehouse from Oracle or other on-premises solutions to Amazon Redshift. Learn how TEKsystems strives to put forth a series of tools, technologies, and methodologies to meet customers in their current AWS cloud journey path. With a phased migration approach, TEKsystems’s customer realized immediate savings moving off an on-premises data warehouse while running its current applications against Amazon Redshift through partner solutions.
Enterprises are building data analysis capabilities to extract information captured in data, develop an understanding of their business, and channel efforts towards customer centricity. This post explains the need for operational analytics and how it can be achieved with MongoDB Atlas and Amazon Redshift. MongoDB is an AWS Data and Analytics Competency Partner and developer data platform company empowering innovators to unleash the power of software and data.