Gimmal LLC, a provider of information governance software solutions, has announced the official release of its Documentum to SharePoint migration tool. With this addition to the Gimmal Migrate product, users will be able to achieve an effective and efficient migration from Documentum to Microsoft 365. The newly release Documentum to SharePoint migration tool gives client:
The ability to achieve “full-fidelity” migration to preserve elements such as versions, metadata, created dates, and user information for information and records management purposes
The ability to easily decommission Documentum, consolidating your legacy systems to achieve significant cost savings with a modern platform
Conduct compliant migrations with automated legal chain of custody and detailed proof of migration
Pegasystems Inc. announced new low-code capabilities in Pega Platform that enable both professional and citizen developers to design modern user interfaces (UI) for their apps. By combining enhanced front-end design features with its back-end processing abilities, Pega helps any enterprise user to create more complete digital experiences from a single low-code platform.
The new Pega Platform capabilities combine Pega’s app authoring capabilities with out-of-the-box UX best practices to deliver a complete low-code app design and development solution. With a new UI architecture, enhanced design capabilities, and open APIs, users can both configure and design their app in the same easy-to-use low-code platform. In addition, built-in industry standards help enable front-end developers to readily integrate new UXs into their existing front ends. The new capabilities provide benefits for both businesspeople and professional developers looking to build applications, including: faster and more productive app interfaces, easier-to-use low-code design capabilities, and context-aware APIs that dynamically update as processes change.
The new Pega Platform design and development features will be available by the end of this quarter (Q2 2021) as part of the Pega Infinity 8.6 product release, which was also announced.
AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced native support for Data Analysis Expressions (DAX). DAX is a formula expression language used in Analysis Services, Microsoft Power BI, and Power Pivot in Microsoft Excel. Native DAX support lets Power BI users connect to AtScale in live connection mode. Live connections provide fast access to AtScale’s semantic layer platform, for delivering and managing data access and quality across the diverse and complex data landscape in a cloud-first enterprise. The AtScale semantic layer creates a single point for data access and a central governance gateway, and bridges business users across data migrations. Key features:
Live Connection to Cloud Data Platforms – Power BI users can use AtScale to access up-to-date data without pre-aggregation or data engineering work.
Curated Data Models – These curated and governed data models can help to increase the quality of data analysis.
Impersonation & Single Sign-On (SSO) – With an appropriate data gateway configuration, Power BI users can connect using their preferred LDAP or Active Directory (AD) accounts.
Enhanced Performance – Power BI users can navigate metadata and use visualizations in their reports without requiring Power BI to translate DAX into a SQL dialect or other query language.
Software AG announced new innovations of its webMethods platform for APIs, Integration and Microservices. With this release, companies can simplify and accelerate their digital transformation initiatives while also speeding their adoption of cloud. The latest updates to webMethods include:
To simplify cloud adoption, Software AG has added AI and ML-assisted smart mapping. Now users are given suggested mappings based on the combined best practices across the platform, reducing the effort of building integrations.
A new online community gives partners and users the opportunity to share cloud connectors as well as integration templates, or “recipes,” to build their projects faster and with fewer errors.
Democratize and speed development and integration of data and services for use in applications with a new graphical flow editor for power users, as well as a drag and drop UI for business users (multi-persona interface).
Enhancements to develop productivity with improved DevOps capabilities including open APIs for all API Management and Microservices deployment functionality, containerized runtimes, helm charts, and CI/CD samples to simplify update rollout.
Eliminate the complexity of managing business application with webMethods AppMesh that ties together its API Management and Microservices platforms to bring application-level visibility and control.
Informatica announced the availability of Informatica’s Cloud Data Integration Elastic (CDI-E) on Google Cloud. This enables organizations to reach greater productivity and scale. The company also announced new enhancements to Cloud Mass Ingestion, and API Management on Google Cloud as it unveils the new Intelligent Data Management Cloud. New capabilities on Google Cloud:
Quickly build and deploy data integration pipelines with Informatica Cloud Data Integration-Elastic (CDI-E): Customers can now process very large data engineering workloads elastically via Informatica’s Intelligent Data Management Cloud on Google Cloud using Informatica’s codeless, visual, data ingestion and transformation user experience.
Simplify large-scale data ingestion from on-premises to Google Cloud with Informatica Cloud Mass Ingestion (CMI) Service: Informatica CMI provides a wizard to ingest and replicate large amounts of data into Google Cloud from on-premises sources such as Oracle, SQL/MySQL, Teradata, Netezza, and DB2 and others. CMI supports Google Pub/Sub Model as both a source and target while supporting schema drift and ingesting streaming and IoT data for real-time analytics.
Modernize your data, API, and application integration on Google Cloud with Informatica API Manager: Throughout the development, management, or deprecation of API’s, API Manager is designed to orchestrate complex hybrid multi-cloud systems automatically keeping track of changing capabilities and integrations with any external system.
Microsoft Corp and Nuance Communications, Inc. announced they have entered into a definitive agreement under which Microsoft will acquire Nuance for an all-cash transaction valued at $19.7 billion, inclusive of Nuance’s net debt. Mark Benjamin will remain CEO of Nuance, reporting to Scott Guthrie, executive vice president of Cloud & AI at Microsoft. The transaction is intended to close this calendar year.
Nuance is a provider of conversational AI and cloud-based ambient clinical intelligence for healthcare providers. Nuance’s products include the Dragon Ambient eXperience, Dragon Medical One and PowerScribe One for radiology reporting, all clinical speech recognition SaaS offerings built on Microsoft Azure. Nuance’s solutions work with core healthcare systems, including longstanding relationships with Electronic Health Records (EHRs), to alleviate the burden of clinical documentation and help providers deliver better patient experiences.
Microsoft’s acquisition of Nuance builds upon an existing partnership announced in 2019. By augmenting the Microsoft Cloud for Healthcare with Nuance’s solutions Microsoft will be better able to empower healthcare providers through ambient clinical intelligence and other Microsoft cloud services. Beyond healthcare, Nuance provides AI expertise and customer engagement solutions across Interactive Voice Response (IVR), virtual assistants, and digital and biometric solutions to companies in all industries. This expertise will come together with Microsoft’s cloud, including Azure, Teams, and Dynamics 365, to deliver next-generation customer engagement and security solutions.
Elastic announced an expanded strategic partnership with Confluent, Inc. to deliver the best integrated product experience to the Apache Kafka and Elasticsearch community. Through this alliance, Elastic and Confluent will enhance existing product integrations and jointly develop new capabilities to help users easily combine the benefits of the Elastic Stack and Kafka. Elastic and Confluent plan further enhancements to the product experience for users by:
Strengthening the native integration between Elastic Cloud and Confluent Cloud
Enriching the Elasticsearch Service Sink Connector in Confluent
Developing packaged joint solutions for specific use cases
Introducing easier ways to output data from Kafka in an Elastic Common Schema
Elastic has long provided native support for Kafka to help centralized logging and monitoring customers monitor the health and performance of their Kafka pipelines in Elasticsearch. In addition, users have the choice of a jointly built and fully managed Elasticsearch Service Sink Connector in Confluent Cloud that eliminates the need for customers to take on the difficult task of managing their own Kafka clusters. This gives organizations the ability to seamlessly stream data moving through Kafka into Elasticsearch on all major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.
Trifacta announced it is expanding its platform’s data integration capabilities by providing universal data connectivity to more than 180 data sources. These pre-built connectors make it faster and easier for more users in organizations of any size to connect to more data. To build curated, accessible data products for advanced data insights and analytics, data engineers and analysts need flexible, seamless access to data, regardless of its source. The Trifacta platform already offers connectivity to a wide range of data sources. Universal connectivity expands the range of use cases possible with the Trifacta platform, including but not limited to:
Collaboration and Support: SmartSheet, Airtable, Confluence, Microsoft Sharepoint, and JIRA.
Resource Planning and Visibility: SAP ERP, SAP HANA, and Microsoft Dynamics.
Finance and Accounting: Workday, Netsuite, Xero, ADP, Quickbooks, and Sage.
Marketing, Sales, e-Commerce: Salesforce, Google Analytics, Facebook Ads, Twitter Ads, LinkedIn Ads, Amazon Marketplace, and Shopify.
Cloud Data Warehouses and Databases: BigQuery, Snowflake, Redshift, Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, Teradata, and Hive.
Files & File Systems: S3, GCS, ADLS, HDFS, SFTP, JSON, XML, Excel, and Google Sheets. Trifacta is also enhancing support for semi-structured data, like JSON and XML.
Cloud Data Exchanges: AWS Data Exchange, Snowflake Data Marketplace, and Google Public Datasets.
