Tag: Data Lake

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Gartner’s recently released “Magic Quadrant for Industrial IoT Platforms” outlines how organizations can leverage the Internet of Things (IoT) to drive their digital transformation initiatives. In particular, Gartner believes that “By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60% of industrial IoT (IIoT) analytics, up from less than 10% today.”[1] More real-time sensor and device data coupled with more computational power are driving analytics “to the edge”, which will yield new business and operational monetization opportunities for organizations looking to ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Jon Dybik. We are excited to announce the release of Cloudbreak 2.7! This release includes many new enhancements that further extend the ability of the Enterprise to harness the agility of the cloud for big data workloads. Here is just a sampling of the new features available with Cloudbreak 2.7: Here are some highlights: Simplified Cloud Storage Configuration Running big data workloads in the cloud means you need data. Cloudbreak makes it easy to work with data that is setup in cloud storage, whether it be AWS (S3), Azure (ADLS + WASB), or Google ... Read More

Feed: Microsoft Azure Blog. Author: Arindam C. DATAWORKS SUMMIT, SAN JOSE, Calif., June 18, 2018 – Earlier today, the Microsoft Corporation deepened its commitment to the Apache Hadoop ecosystem and its partnership with Hortonworks that has brought the best of Apache Hadoop and the open source big data analytics to the Cloud. Since the start of the partnership nearly six years ago, hundreds of the largest enterprises have chosen to use Azure HDInsight and Hortonworks to run Hadoop, Spark and other Open Source analytics workloads on Azure. Also, during this time, Microsoft has become one of the leading committers to ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: deepthi-nagarajan; Data is business. The pace at which an organization can process data improves its ability to react to business events in real time.Today, organizations are bringing together new types of data from a variety of internal and external sources for analytics, often in real time. They often explore new architectures, such as next-generation data lakes, information hubs and real-time streaming architectures to process and gain value from this data and build machine learning models in their path to artificial intelligence (AI). There is a growing need to develop ... Read More

Feed: Microsoft Azure Blog. Author: Ye Xu. Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure. Using ADF users can load the lake from 70+ data sources, on premises and in the cloud, use rich set of transform activities to prep, cleanse, process the data using Azure analytics engines, and finally land the curated data into a data warehouse for reporting and app consumption. With ADF you can iteratively develop, debug, and continuously integrate and deploy into dev, QA, and production environments, enabling you to achieve productivity during development phrase as well as operationalize ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Renata Melnyk. The AWS Competency Program validated 41 new AWS Partner Network (APN) Partners in May—spanning workload, solution, and industry designations. Please join us in welcoming our newest AWS Competency Partners!The AWS Competency Program helps customers identify and choose the world’s top APN Partners that have demonstrated technical proficiency and proven customer success in specialized solution areas. To receive the AWS Competency designation, APN Partners must undergo rigorous technical validation related to industry-specific technology, as well as an assessment of the security, performance, and reliability of their AWS solutions. This validation gives customers complete confidence in choosing ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Guest Author. By Rob Thomas, General Manager, IBM Analytics. This story first appeared on the IBM Big Data & Analytics Hub. Data is driving business. And as volumes climb with no end in sight, companies have a decision to make: harness and extract insight from that data, or watch your competitors do it as they pass you by. One of our tenets at IBM is to help our clients prepare, manage, and analyze their data – and then learn from it. Through data management, analytics and governance for both cloud and on premises environments, we’re ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Roni Fontaine. We are thrilled to announce that Hortonworks Data Platform (HDP) version 3.0 is now available for early access. For more information, go here.  HDP 3.0 delivers new capabilities for the enterprise to enable agile application deployment, new machine learning/deep learning workloads, real-time database, & security and governance. It is a key component of the modern data architecture and can be deployed both on-premises and the cloud.  Many of the new enhancements to HDP 3.0 are based on Apache Hadoop 3.1 and include containerization, GPU support, erasure coding and namenode federation.  HDP 3.0 ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Jeff Morris, Product Team | June 18, 2018  From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well.What those new to graph technology may not understand is that creating a graph does not require starting from scratch. Existing data stores, such as data lakes and relational databases, represent an onramp to graph analytics on your existing data.In this series, we’ll examine how investments in connected data return dividends for your bottom line – and beyond. In previous weeks, we’ve explored ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Syed Mahmood. We recently received exciting news about Hortonworks DataPlane Service (DPS). Hortonworks was among the select companies that Forrester invited to participate in its evaluation, The Forrester Wave™: Big Data Fabric, Q2 2018. In this evaluation, Hortonworks was cited as a Strong Performer. What’s remarkable is that our entry, DPS, is still a relatively new offering; we just launched it last fall. The fact that it’s attracting so much attention so soon highlights how important big data fabric technology is becoming and how our open source strategy is bringing innovation to the market ... Read More