Analytics
Grazed from Hortonworks and Google Cloud
 Hortonworks, Inc. announced enhancements to its existing partnership with Google Cloud. These enhancements further optimize Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF) for Google Cloud Platform (GCP) to deliver next-gen big data analytics for hybrid cloud deployments. This partnership will enable customers to achieve faster business insights by leveraging ongoing innovations from the open source community via HDP and HDF on GCP.HDP now integrates with Google Cloud Storage, which offers consistent cloud storage for running big data workloads. With HDP on GCP, customers get:
|
|||
Grazed from Amazon
|
|||
Grazed from SWIM.AI
SWIM.AI, the edge intelligence software company, today exited stealth and announced the general availability of its edge software solution, SWIM EDX, delivering edge intelligence and real-time business and operational insights. Current business intelligence solutions require large volumes of time-series data to be reduced, streamed to the cloud, stored, cleaned, analyzed and then modelled - at great expense and often with significant delays. By applying analytics, self-training digital twins and edge computing, SWIM EDX allows manufacturers, infrastructure providers, enterprises, cities and IoT vendors to analyze and take immediate action on fast edge data. In addition, the company today announced key additions to its management team, including Simon Crosby as chief technology officer, Simon Aspinall as chief sales and marketing officer, and Ramana Jonnala as chief product officer. "Edge devices and data volumes are growing exponentially, leaving enterprises swamped," said Holger Mueller, VP and principal analyst for Constellation Research. "That data, however, holds insights that can truly transform production, efficiency and a multitude of other factors. Being able to analyze that data, and therefore predict system performance on the fly puts enterprises ahead of the game."
|
|||
Grazed from Databricks
 Databricks, provider of the leading Unified Analytics Platform powered by Apache Spark, today announced general availability of Microsoft Azure Databricks. Azure Databricks is Databricks' Unified Analytics Platform offered as an integrated service within the Azure cloud platform. Organizations from around the globe using Azure Databricks are now deriving value from their Big Data and realizing the promise of Artificial Intelligence (AI). Designed by Databricks in collaboration with Microsoft, Azure Databricks combines the best of Databricks' Spark-based cloud service and Azure to help customers accelerate innovation with one-click set up, streamlined workflows and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. The integrated service provides Databricks' Unified Analytics Platform integrated with the Azure cloud platform, encompassing the Azure Portal; Azure Active Directory; and other data services on Azure, including Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Store; and Microsoft Power BI.
|
|||
Grazed from Inpixon
 Inpixon, a leading indoor positioning and data analytics company, today announced it will use Amazon Web Services (AWS) to deliver a greater range of high-availability Software as a Service (SaaS) offerings. With the adoption of AWS, Inpixon’s Indoor Positioning Analytics (IPA) platform is able to offer a solution that provides both on-premises security monitoring and cloud-hosted intelligence analytics.“After extensive research and several successful test scenarios, we are very confident that AWS is the right choice for Inpixon’s IPA,” said Shirish Tangirala, Inpixon CPO. “IPA’s analytics engine requires a robust, high-performance infrastructure to compute an immense amount of locational data captured hourly by our sensors in order to deliver positional accuracy and intelligence. Based on performance, scalability, and security, AWS is the ideal fit.”
|
|||
Grazed from Excelero
Excelero, a disruptor in software-defined block storage, said that IT consulting practice CMA has helped more healthcare organizations to achieve significant time-to-market advantage by deploying Excelero's NVMesh server SAN within CMA's MicroTerabyte "data warehouse in a box" solutions. As hospitals, healthcare providers and payers embrace advanced analytics applications in the search for new treatments and insights, CMA found Excelero's NVMesh to deliver the agile, exceptionally high performance, low-latency storage infrastructure that CMA needs as the foundation of its Oracle RAC cluster-based analytics offerings. NVMesh's benefits flow to both users of CMA's hosted MicroTerabyte solution, and its on-demand Dynamic Analytics Platform (DAP)® database as a service (DBaaS) offering. "Healthcare organizations have an insatiable need for advanced analytics yet getting efficient performance from large databases demands a storage infrastructure with high performance and ultra-low latency. Excelero's NVMesh software delivered beyond our expectations," said Brian Dougherty, chief technical architect at CMA. "Because of its flexibility and scalability, we deployed NVMesh in just two days, versus several weeks for DSSD - 80% faster. The time we saved can help our customers get started sooner with important medical research and finding new ways to control healthcare costs."
|
|||
Grazed from Blue Medora
 Blue Medora today announces a new service, BindPlane - a major step in delivering IT monitoring integration as a service and a standardized approach to enterprise monitoring integration.Blue Medora is an innovator in monitoring integration software for the most common application performance, cloud and database management platforms. BindPlane is a first-of-its-kind monitoring integration service that connects the health and performance data on the top enterprise technologies with the world's best IT performance monitoring and analytics platforms. The new integration service is a departure from the traditional platform-to-plugin approach and instead provides a single monitoring integration service that connects any analytics platform to the health and performance data on the top enterprise technologies instantly.
|
|||
Grazed from ExtraHop
Organizations have embraced cloud and hybrid infrastructure to deliver their critical applications and services due to the scale and agility advantages that cloud computing offers. As organizations expand their IT footprints, they are often challenged to adopt common monitoring strategies and tools that work across all of their environments.
|
|||
ExtraHop, a leader in real-time analytics and an Advanced tier Technology Partner in the
Grazed from Morpheus Data
Research indicates that total enterprise spending on public cloud services is expected to continue to grow at double digits over the coming years. Much of this growth comes from application teams seeking to mirror best-in-class DevOps organizations where time to deploy is measured in minutes. At the same time, enterprise IT teams are signaling adoption of multi-cloud strategies rather than standardizing on a single provider. Unfortunately, fragmented cloud management has done little to speed deployment and rouge development has led to expensive cloud sprawl. To address these gaps, Morpheus Data has updated its Unified Ops Orchestration platform with machine learning to lower cloud costs and new 3rd party integrations to speed application deployments. Unlike tools which only address part of the issue, only Morpheus provides a systematic solution to optimize resources, enable governance, accelerate workflows, and modernize applications. The solution was architected to be 100% infrastructure agnostic across bare metal, VM, and containerized deployments spanning on-premises, hosted, and public clouds.
|
|||
Today,
Grazed from Aerohive Networks
Quantifying and qualifying the operational effectiveness of the access point of an enterprise network has always been problematic because of variable usage and demand by users, compounded by the remoteness from IT resources. Using the power of the Cloud, Aerohive's new, totally anonymous Comparative Analytics capability will allow IT professionals to accurately compare key infrastructure and client metrics, at first dynamically and within a few months over time. Finally, Aerohive's Comparative Analytics capability will answer the age-old customer question of how to compare operating effectiveness to others of similar size and similar industries, as well as whether the metrics are getting better or worse over time.
|
|||
Aerohive Networks