Category: Computing & data (Page 47 of 90)

Confluent, Inc. announced the Confluent Q3 ʼ21 Release, with features that help organizations share data between different environments, integrate with business-critical applications, and store data for digital customer experiences and data-driven backend operations.

As a part of the Q3 ʼ21 Release, ksqlDB pull queries are now generally available in Confluent Cloud. Together with push queries, ksqlDB enables a broad class of end-to-end stream processing workloads without the need to work across multiple systems to build streaming applications.

Confluent has expanded its library of managed Kafka. The Salesforce Platform Events Source connector enables organizations to unlock customer data and share it with downstream data warehouses and applications. The Azure Cosmos DB Sink connector helps companies migrate to a modern, cloud-native database to enable high performance and automatic scaling, unlocking real-time use cases.

Confluent re-architected Kafka to work in the cloud. Infinite Storage is now generally available for Google Cloud, after initially launching for AWS. Organizations can now retain all the real-time and historical data they need without pre-provisioning additional infrastructure or running the risk of paying for unused storage.

https://www.confluent.io/

MarkLogic Corporation announced the first two accelerators available from the Medicaid Accelerator Program launched earlier this year. The MarkLogic Solution Accelerator for FHIR is for existing customers looking to comply with the CMS Interoperability Rule directly out of MarkLogic. The accelerator is an open source framework for enabling FHIR Interoperability in the MarkLogic Data Hub for Medicaid. It connects with HAPI FHIR to enable FHIR-compliant queries to be executed directly to MarkLogic.

The FHIR accelerator’s open source framework exemplifies the ease with which FHIR queries can be issued to the MarkLogic Data Hub for Medicaid by combining querying with full text search in one consolidated platform. The FHIR accelerator is extensible and can be readily adapted to other FHIR solutions such as AWS FHIRWorks. The MarkLogic Starter Kit Solution Accelerator is for new customers starting their Medicaid modernization efforts using the MarkLogic Data Hub for Medicaid. The accelerator is a Medicaid Integration Platform using FHIR-Friendly persistent data models and contains a sample-project with data models, test data, data mappings, MPI configuration, deployment scripts, and unit tests. It provides Claim, Provider, and Member data models as a starting point for a customer’s Medicaid modernization efforts.

https://www.marklogic.com

The Apache Cassandra Project released today v4.0 of Apache Cassandra, the Open Source distributed Big Data database management platform. A NoSQL database, Apache Cassandra handles massive amounts of data across load-intensive applications with high availability and no single point of failure. Cassandra v4.0 handles unstructured data, with thousands of writes per second. New features:

• Increased speed and scalability – streams data faster during scaling operations and throughput on reads and writes, that delivers a more elastic architecture, particularly in Cloud and Kubernetes deployments.
• Improved consistency – keeps data replicas in sync to optimize incremental repair for faster, more efficient operation and consistency across data replicas.
• Enhanced security and observability – audit logging tracks users access and activity with minimal impact to workload performance. New capture and replay enables analysis of production workloads to help ensure regulatory and security compliance with SOX, PCI, GDPR, or other requirements.
• New configuration settings – exposed system metrics and configuration settings provides flexibility for operators to ensure they have easy access to data that optimize deployments.
• Minimized latency – garbage collector pause times are reduced to a few milliseconds with no latency degradation as heap sizes increase.
• Better compression – improved compression efficiency eases unnecessary strain on disk space and improves read performance.

https://cassandra.apache.org/

Adobe announced the Adobe Analytics curriculum for education, a global program that supports the future workforce with in-demand data science skills. As part of the next generation of the Adobe Education Exchange, college instructors and students will be able to use Adobe Analytics, a customer data analytics platform, for free and get access to course curriculum with hands-on activities. Students will learn how to use data to drive business decisions and gain skills for careers spanning data science to marketing and product management.

Participants get access to a sandbox environment, which allows students to use Adobe Analytics with rich demo data. It is meant to be self-paced. instructors can pick and choose modules to incorporate. The four modules:

• Data Collection: Students learn the fundamentals of data collection, warehousing and cleaning, as well as implementation.
• Data Strategy and Architecture: Once data is collected, teams have to set up a data structure to make the data consumable across an organization.
• Standard Metrics and Functionality: Focuses on reporting and how data is presented to functions such as marketing, product development, eCommerce and design.
• Analysis Workspace Fundamentals: Provides students an opportunity to curate data, collaborate with others, produce new visualizations and uncover insights that advance business objectives.

https://experienceleague.adobe.com/landing/analytics-university/