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Category: Computing & data (Page 34 of 80)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Snowflake announces Python support and more

Snowflake announced at its Snowday event that data scientists, data engineers, and application developers can now use Python, in addition to Java and Scala, natively within Snowflake as part of Snowpark, Snowflake’s developer framework. With Snowpark for Python, developers will be able to collaborate on data in their preferred language. At the same time, they can leverage the security, governance, and elastic performance of Snowflake’s platform to build scalable, optimized pipelines, applications, and machine learning workflows. Snowpark for Python is currently in private preview. As a result of the recently announced partnership with Anaconda, Snowflake users can now access the popular ecosystem of Python open source libraries, without the need for manual installs and package dependency management. Additional Snowflake and Snowpark capabilities include:

  • Cross-cloud account replication
  • Improved replication performance
  • Expanded governance capabilities and integration
  • Snowpark: Stored Procedures
  • Snowpark: Unstructured File Processing 
  • Snowpark: Logging Framework 

https://www.snowflake.com/news/snowflake-announces-latest-data-cloud-innovations-to-enable-customers-to-seamlessly-manage-global-operations-build-faster-and-create-new-businesses-with-data/

Datadobi introduces DobiMigrate API

Datadobi Software, provider of unstructured data management software, announced enhancements to its vendor-neutral unstructured data mobility engine with the introduction of DobiMigrate’s API. Version 5.13 will allow organizations to programmatically configure unstructured data migrations using the API.

Using the DobiMigrate API, customers and partners can now extend existing automated storage provisioning workflows with the necessary data migration steps. Organizations can first use the storage system APIs to provision a new group of on-premises or cloud storage and then use the DobiMigrate API to set up the NAS or object migration. Following the cutover to the new storage, the administrator can then again use storage systems APIs to deprovision the original storage.

Customers can also use the DobiMigrate API in conjunction with the Datadobi file system assessment service. The file system assessment service provides customers with insights into the state of the unstructured data estate. Characteristics of file systems from a global level through individual storage systems and sub-file servers/virtual file servers is provided in a detailed report, allowing customers to make informed decisions on how to organize and move their data. The DobiMigrate API can then be used to establish the required migrations of individual datasets between systems.

https://datadobi.com/post_news/datadobi-software-enhancements-power-agile-multi-cloud-expansion-flexible-data-reorganization-lower-costs/

Enterprise Knowledge Graph Foundation (EKGF) releases draft maturity model

Enterprise Knowledge Graph Foundation released Version 1.0 of the Enterprise Knowledge Graph Maturity Model (EKG/MM), designed to promote best practices across the knowledge graph community. Version 1.0 was created in an ongoing collaboration between experts and practitioners, and the model can be accessed or downloaded from the EKGF Website. Founding organizational members include agnos.ai, eccenca, data.world, Global IDs, Cambridge Semantics, Ontotext, Stardog, and Wizdom.

EKG/MM is designed to be the industry-standard definition and guide for the capabilities required for an enterprise knowledge graph. Intended to harmonize data from disparate sources across organizations, it can be used by business leaders, project managers, trainers, HR, legal, compliance, and finance departments, data managers, technologists, and more. It establishes standard criteria for measuring progress and sets out the practical questions that all involved stakeholders ask to ensure trust, confidence, and flexibility of data.

EKG/MM covers four essential capability areas, called “pillars,” which are grouped by the main constituencies in an enterprise: Business, Organization, Data, and Technology, each of which includes standard evaluation criteria for measuring the maturity of the design, implementation, and maintenance of an EKG.

https://www.ekgf.org

Kyndryl and Microsoft establish global strategic partnership

Together the companies will bring to market solutions built on the Microsoft Cloud that will accelerate hybrid cloud adoption, modernize applications and processes, support mission-critical workloads, and further enable modern work experiences for customers. The long-term partnership will open additional markets and new customers to Kyndryl across all industries and illustrates the speed and commitment the company is placing on forging strong relationships with enterprise technology innovators. Microsoft becomes Kyndryl’s only Premier Global Alliance Partner, increasing Microsoft’s access to the $500 billion managed services market where Kyndryl leads.

The companies will jointly bring customer solutions to market in the areas of data modernization and governance, AI-driven innovations for industries, cyber security and resiliency, and transformation of mission-critical workloads to the cloud. Kyndryl will lead with advisory, implementation and managed services for complex hybrid IT environments.

In addition, central to the partnership will be a focus on creating new solutions for customers and programs to advance skills. A co-innovation lab will be established to rapidly develop and bring to market new customer capabilities built on Microsoft Cloud. To strengthen and expand technical expertise, Microsoft will establish the “Kyndryl University for Microsoft” to rapidly scale skills for Kyndryl professionals.

https://www.kyndryl.com/us/en/news/2021/11/Kyndryl-and-Microsoft-Establish-Global-Strategic-Partnership1

Microsoft introduces Microsoft Loop

Microsoft announced the addition of Microsoft Loop to Office. Loop consists of three elements: Loop components, Loop pages, and Loop workspaces.

Loop components: An evolution of Fluid components—are atomic units of productivity that help you collaborate and get your work done in the flow of your work—in a chat, email, meeting, document, or Loop page. Loop components can be as simple as lists, tables, notes, tasks, or as sophisticated as a customer sales opportunity from Microsoft Dynamics 365, and because components stay in sync, no matter how many places they live in, you and your team always work with the latest information.

Loop pages are flexible canvases where you can organize your components and pull in other elements like files, links, or data to help teams think, connect, and collaborate. Pages are optimized for thinking together and getting work done. They can start small and continue to grow to match the size of your ideas and projects.

Loop workspaces are shared spaces that allow you and your team to see and group everything important to your project. Workspaces make it easy for you to catch up on what everyone is working on, react to others’ ideas, or track progress toward shared goals. Teams can collaborate synchronously or asynchronously whenever inspiration strikes.

https://www.microsoft.com/en-us/microsoft-365/blog/2021/11/02/microsoft-office-transforming-for-the-hybrid-world/

Franz releases AllegroGraph 7.2

Franz Inc., announced AllegroGraph 7.2, which provides organizations with Data Fabric tools, including Graph Neural Networks, Graph Virtualization, Apache Spark graph analytics, and streaming graph pipelines to help data analytics professionals derive business value out of Knowledge Graphs. With AllegroGraph 7.2, users can create Graph Neural Networks (GNNs) and take advantage of an AI approach for Knowledge Graph enrichment via text processing for news classification, question and answer, search result organization, event prediction.

AllegroGraph 7.2 allows users to virtualize data as part of their AllegroGraph Knowledge Graph solution so the data remains in the source system and is linked and queried with other data stored directly in AllegroGraph. Any data source with a supported JDBC driver can be integrated into an AllegroGraph Knowledge Graph.

With AllegroGraph 7.2 and Apache Kafka, users can create a decision engine that produces real-time event streams based on computations that trigger specific actions. AllegroGraph accepts incoming events, executes instant queries and analytics on the new data and then stores events and results. Users can export data out of the Knowledge Graph and then perform graph analytics with Apache Spark. Users gain machine learning and SQL database solutions as well as GraphX and GraphFrames.

https://allegrograph.com/allegrograph-v7-2-now-available-gnn-virtual-graphs-spark-and-kafka/

Alation acquires Lyngo Analytics

Alation Inc., a provider of enterprise data intelligence solutions, announced the acquisition of Lyngo Analytics, a Los Altos, Calif.-based data insights company. The acquisition will elevate the business user experience within the data catalog, scale data intelligence, and help organizations drive data culture. Lyngo Analytics CEO and co-founder Jennifer Wu and CTO and co-founder Joachim Rahmfeld will join the company.

Lyngo Analytics uses a natural language interface to empower users to discover data and insights by asking questions using simple, familiar business terms. Alation an intelligent and user-friendly machine-learning data catalog. By integrating Lyngo Analytics’ artificial intelligence (AI) and machine-learning (ML) technology into its platform, Alation deepens its support for the non-technical user, converting natural language questions into SQL. Business users can acquire and develop data-driven insights from across an enterprise’s broad range of data sources. This means even data consumers without SQL expertise can ask questions in natural language and find data and insights without the support of data analysts.

https://www.alation.com/press-releases/alation-acquires-artifical-intelligence-vendor-lyngo-analytics/

DataStax extends Stargate

DataStax, mostly known for AstraDB the multi-cloud database based on Apache Cassandra, announced the addition of new capabilities to its Stargate Gateway product, a data gateway deployed between client applications and databases, that exposes the database layer as multiple APIs offering flexibility to the way you expose your data.

The APIs in question are the Document, REST, CQL and GraphQL. As such under the Document API you can modify and query data stored as unstructured JSON documents in collections. The REST API exposes CRUD access to data stored in Cassandra tables, while under the CQL API you can access those tables using Cassandra’s native query language CQL. Lastly, under the GraphQL API you can easily modify and query table data using GraphQL types, queries, and mutations. The GraphQL API has now been extended so developers can create tables and define schemas in Apache Cassandra without the need to work directly with CQL.

Through integration with the Apollo Gateway it can also interface with other databases that support GraphQL including MongoDB, MySQL and PostgreSQL, as well with data stores on AWS, Google Cloud, and Microsoft Azure. Stargate is available as part of the Astra DB cloud service.

https://www.i-programmer.info/news/84-database/14935-datastax-extends-stargate.html

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