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Category: Computing & data (Page 32 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.

Databricks launches Data Lakehouse for Retail

January 13, 2022 /

Databricks announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve data challenges that retailers, partners, and their suppliers are facing.

Databricks’ Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of tools and partners. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and practices to save development time for data engineers and data scientists. Solution accelerators include:

  • Real-time Streaming Data Ingestion: with point-of-sale, mobile application, inventory and fulfillment data.
  • Demand forecasting and time-series forecasting: with fine-grained demand forecasting to predict demand for items and stores.
  • ML-powered recommendation engines: specific recommendations models including neural network, collaborative filtering, content-based recommendations. 
  • Customer Lifetime Value: predict behaviors of churn, and segment consumers with customer analytics accelerators to help improve decisions on product development and promotions.

Databricks partners like Deloitte and Tredence are delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases.

https://databricks.com/solutions/industries/retail-industry-solutions

Datadog announces strategic partnership with AWS

January 5, 2022 /

Datadog, Inc., a monitoring and security platform for cloud applications, announced a global strategic partnership with Amazon Web Services, Inc. (AWS). As part of this collaboration, AWS and Datadog will work together to develop and deliver tighter product alignment in the future. As an AWS Partner, Datadog has earned several AWS Competencies that demonstrate Datadog’s high level of specialization, AWS technical expertise and proven customer success. Datadog’s existing AWS Competencies include:

  • Microsoft Workloads ISV Competency
  • DevOps ISV Competency
  • Government ISV Competency
  • Containers ISV Competency
  • Migration and Modernization ISV Competency

By delivering deep visibility into AWS-hosted, on-premises and hybrid environments during every phase of a cloud migration, Datadog helps organizations achieve their digital transformation goals with confidence. After enabling a one-click integration, Datadog pulls metrics and tags from more than 70 AWS services to give customers a comprehensive view of their entire infrastructure, including key technologies such as AWS Lambda and Amazon Elastic Kubernetes Service (Amazon EKS). Customers can also benefit from Datadog’s full-stack security across all layers of their cloud environment. This means customers can easily analyze their apps, workloads and infrastructure with just a few clicks and enrich security signals with Datadog-managed threat intelligence feeds.

https://www.datadoghq.com/about/latest-news/press-releases/datadog-announces-global-strategic-partnership-with-aws-for-observability-and-security/

Nosto acquires SearchNode, adds ecommerce Search to CX

January 5, 2022 /

Nosto, an AI-powered commerce experience platform, announced it had acquired SearchNode, a global cloud-based ecommerce search technology company. This transaction marks the second acquisition for Nosto, after completing the acquisition of Stackla Visual UGC in May 2021. The strategic acquisition of SearchNode’s search technology will allow Nosto clients to implement site-wide personalization, merchandising, segmentation, and testing strategies natively to optimize the entire shopping journey.

With the addition of Visual UGC and Search integrated into the core of the Nosto Commerce Experience Platform, Nosto offers retailers a complete range of commerce experience optimization capabilities within a single, unified platform. The terms and conditions of the acquisition, subject to regulatory and other approvals and conditions, were not disclosed.

http://www.nosto.com ▪︎ http://www.searchnode.com

Limelight releases GraphQL caching and serverless hosting for headless websites

December 14, 2021 /

Limelight Networks, Inc., a provider of content delivery services and AppOps at the edge, announced general availability of GraphQL functionality for its Layer0 by Limelight web application CDN. GraphQL is an important enabler of microservices-based websites, allowing web builders to make their API layer faster and easier to manage. Layer0 addresses the challenge of caching GraphQL APIs at the network edge, and supports hosting the GraphQL server in a serverless environment.

The GraphQL query language improves on traditional REST APIs and reduces the over-fetching of data, which can improve performance. It also enables teams to iterate their APIs faster without incurring versioning headaches by defining a flexible but strongly typed API between client and server. This has made GraphQL popular with developers, especially enterprise organizations using headless or API-first web architectures.

Layer0 includes everything development and DevOps teams need to implement a headless or Jamstack architecture including hosting, serverless, observability, RUM and CI/CD integration. Teams can be flexible in how they leverage Layer0. They can use it to cache their GraphQL APIs, run their GraphQL server in a serverless environment, or host their entire headless application. Layer0 also has routing options that enable teams to gradually migrate legacy applications to headless or API-first architectures.

https://www.limelight.com

SnapLogic updates Intelligent Integration Platform

December 8, 2021 /

SnapLogic announced new capabilities to its Intelligent Integration Platform. The updates and enhancements enable users across the organization to embrace self-service development, integration, and automation, to improve speed, efficiency, and productivity gains.

The latest improvements include self-service for API consumers, to enable organizations to build applications and microservices faster and manage their API ecosystem more efficiently with upcoming support for third party APIs; the ability to build data products faster and accelerate analytics projects with enhanced support for data warehouse tools; and added features for SnapLogic Flows, the company’s self-service user interface for non-technical business users. To provide the functionality needed to make this process easy for all users, SnapLogic is adding pipeline extensions, and new connections to sales and marketing endpoints such as Microsoft Dynamics for Sales, Microsoft Teams, and Microsoft SharePoint.

Customers who use Google BigQuery can now leverage SnapLogic’s visual ELT (extract, load, and transform) capabilities to push down transformations to their cloud data warehouse. Data engineers won’t have to write complex SQLs to transform data. Enhanced Snap Packs for Microsoft Azure, Amazon, and Snowflake have been added.

https://www.snaplogic.com/blog/winter-2021-announcement

MACH Alliance announces MongoDB and Netlify as members

December 8, 2021 /

MACH Alliance announced a new category of “Enabler” membership and MongoDB and Netifly as the first two members. The new category applies to organizations that are heavily utilized by MACH organizations to deliver a MACH service or technology. They are, therefore, enabling a MACH provider but don’t offer a direct MACH solution. As such, they aren’t suited for an Alliance membership in the Vendor or System Integrator categories. While a Vendor member produces an application that enterprises can buy, an Enabler member delivers a service or technology vendors can use as part of a MACH integration.

There are two types of Enabler groups:

  • Technology Enablers are Independent Software Vendors (ISVs) that MACH vendors utilize to deliver their service. They are enabling MACH ISVs and aiding the promotion of the MACH architecture.
  • Service Enablers are service organizations that are stakeholders in MACH projects (like a specialized design agency could be) but may not have a direct involvement in implementing a MACH solution.

All Enablers are aligned to the non-functional areas of a MACH architecture. This includes, but is not limited to monitoring, data storage, cluster or container management, tracing, service meshing, API Gateways and orchestration.

https://machalliance.org/newsroom/mach-alliance-announces-mongodb-and-netlify-as-first-members-of-new-enabler-category

Datadobi launches multi-petabyte Starter Packs

December 7, 2021 /

Datadobi, experts in unstructured data management, announced they have released new Starter Packs for DobiMigrate ranging from 1PB up to 7PB. The offering is purpose-built to bolster unstructured data management projects’ success in data-heavy, high-volume environments. The new Starter Packs will enable channel partners and end users to accelerate digital transformation and conduct data management projects to any storage platform or cloud environment.

Datadobi’s newest PB-scale Starter Packs equip customers and partners to have choice, flexibility, and range for projects varying from 1PB to 7PB. The DobiMigrate Starter Packs were originally designed for the lower end of migrations up to 500TB to make it easy for customers to get started quickly on their project. These new Starter Packs will assist customers with larger environments to do the same.

Enterprises looking to take advantage of the new Starter Packs can expect that DobiMigrate will protect customer data during a migration. The product and processes have successfully demonstrated the highest standards for integrity, security, and confidentiality according to Service Organization Control (SOC) 2 Type 1 requirements.

https://datadobi.com/starter-pack

eccenca updates multi-graph platform

December 2, 2021 /

eccenca, provider of automated decision processing technology, released a new version of its eccenca Corporate Memory. The multi-graph platform is a mature solution for data integration and linking, knowledge capture and reasoning. It has been helping companies like Siemens, Bosch and Total to manage their complex data landscapes and to increase their digital maturity. The latest advancements continue eccenca’s roadmap to make knowledge graph technology accessible and manageable to business users.

eccenca has also increased flexibility of data integration and exploration. As a multi-graph platform with many interface options, eccenca Corporate Memory can ingest a myriad of data sources. This includes other knowledge graph solutions that companies might already have in use for limited (and often siloed) use cases. The latest release of eccenca Corporate Memory further simplifies the integration of new sources. I addition to the optimized import automation options for vocabularies, metadata and master data sets, Google Spreadsheets and Excel sheets files can now be integrated via the commonly used share links. The reusability of project artifacts like workflow definitions help further decrease the workload of data scientists and data engineers. While the added regex extraction allows multi-match requests in complex, long strings of data.

https://eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory

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