Tag: Business

Feed: Cloud Data Integration Software | Matillion. Author: Craig Rouse, Solution Architect; Craig Rouse, Solution ArchitectMatillion uses the Extract-Load-Transform (ELT) approach to delivering quick results for a wide range of data processing purposes: everything from customer behavior analytics, financial analysis, and even reducing the cost of synthesizing DNA.The QuickBooks Query component in Matillion ETL for Amazon Redshift presents an easy-to-use graphical interface, enabling you to easily pull data from QuickBooks Online directly into Amazon Redshift. Many of our customers are using this to integrate their company’s accounting and payment data with data from other areas of their business.The connector is ... Read More

Feed: SAS Blogs. Author: Jim Harris. Read about SAS Event Stream Processing and the benefits of streaming analytics. On a recent hiking trip, I was reminded of the growing importance of real-time data and streaming analytics. One of the downsides to hiking in the rural mid-western United States is spotty cell reception. The positive spin is you get to spend time in nature without the constant distractions of checking emails, text messages or Facebook status updates. On the negative side, you can lose GPS location tracking and directions, and you can't send texts or calls if someone gets lost or ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Scott Gnau. Your company likely has a data strategy, a cloud strategy, and a general business strategy. You might view these as separate, but in the most successful businesses, all three are aligned. By embracing an integrated and comprehensive approach—a cloud and big data business strategy—you can set your company up for success. Data Strategy Data is the lifeblood of business. It has become as important as the products you create and the customer relationships you build. Data has transformed into the most valuable corporate asset that must be nurtured, harnessed for return on ... Read More

Feed: Microsoft Azure Blog. Author: Chacko Daniel. Azure Service Fabric is a highly-scalable distributed systems platform to build and manage scalable microservices and container-based applications for Windows and Linux. Service Fabric is a foundational technology powering core Azure infrastructure, as well as other Microsoft cloud services such as Skype for Business, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and many more. At Build 2018, we shared the Service Fabric product roadmap and demonstrated Azure Service Fabric Mesh, a fully-managed service that enables developers to deploy and operate containerized applications without having to manage VMs, storage or networking configuration, while ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. Highlights New Azure innovation advances customer success for the cloud- and AI-powered future - In preparation for Microsoft Inspire in Las Vegas this week (where partners and Microsoft meet to connect, learn, and collaborate to accelerate the digital transformation and success of our customers), Jason Zander (Executive Vice President, Microsoft Azure) highlighted new offers and technologies that will help organizations navigate their own digital transformation and build the critical foundations for cloud and AI. He showcases momentum from businesses and partners who are investing in intelligent tech from the cloud to the edge ... Read More

Feed: All Oracle Press Releases. Businesses around the world have been deploying an early adopter version of Oracle Blockchain Cloud Service, which becomes generally available today. The service allows organizations to easily build blockchain networks to drive more secure and efficient transactions and to track goods through supply chains on a global scale. Arab Jordan Investment Bank, CargoSmart, Certified Origins, Indian Oil, Intelipost, MTO, Neurosoft, Nigeria Customs, Sofbang, Solar Site Design and TradeFin are among the many global organizations that already have adopted Oracle’s blockchain platform. Blockchain has the power to fundamentally transform how every industry does business by making ... Read More

Feed: All - O'Reilly Media. Author: James Furbush. Metal tubes (source: BrooklynJohn via Pixabay) Attend the Strata Data Conference to learn the skills and technologies of data engineering. As the the data space has matured, data engineering has emerged as a separate and related role that works in concert with data scientists. Ian Buss, principal solutions architect at Cloudera, notes that data scientists focus on finding new insights from a data set, while data engineers are concerned with the production readiness of that data and all that comes with it: formats, scaling, resilience, security, and more. Ryan Blue, a senior ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Typical big data applications have a load phase, where a snapshot of data is extracted from operational systems, transformed and cleaned, and then loaded into your big data appliance. Analysts and data scientists can then execute business analytics (BI) queries against the data store in search of patterns and potential marketing opportunities and cost savings. One disadvantage of this architecture is that your appliance becomes more like a large data warehouse, in that it does not contain the most up-to-date data. IBM now provides an option to configure its Db2 version 11 ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. The most common and traditional data processing applications are becoming insufficient in handling a great volume of data sets so prominent in corporate computing today. Therefore, it is a little difficult to find a platform which can help the companies stay competitive in this Big Data race. Apache Spark is one such open source tool which is developed for Big Data processing. It is undoubtedly one of the most popular and highly used data processing software. Advantages of using Spark Even processing complex and highly difficult analytics ... Read More

Feed: Teradata Blog. According to a recent IDG survey, about 70% of companies have at least one application in the cloud. An additional 43% want to migrate most, or all, of their data workloads and analytics capabilities to the cloud over the next few years. Cloud adoption is growing due to pressure to increase agility and responsiveness to market changes, shrink data center footprints, adapt to changing analytics needs, and move IT costs from CapEx to OpEx.However, cloud migration is often hindered by concerns about security and the lack of IT staff with experience to manage a cloud environment. As ... Read More