Tag: Power

Feed: Cloudera Engineering Blog » Hadoop. Author: Jon Zuanich. Hadoop Essentials for Managers is a one-day course provided October 11th—the day prior to Hadoop World—that will provide decision-makers with the information they need about Apache Hadoop. In this session we will answer questions such as: When is Hadoop appropriate? What are people using Hadoop for? How does Hadoop fit into our existing environment? What do I need to know about choosing Hadoop? You will hear use cases and case studies that help to explain what sort of problems Hadoop can solve. We will explain the Hadoop ecosystem, and how Hadoop-related ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Jon Zuanich. Hadoop is increasingly being adopted by many Fortune 500 enterprises. Some of the speakers featured at Hadoop World this year include leading companies who have been able to create new value for their business using Hadoop. The presentations at Hadoop World are focused on how Hadoop is solving business problems for these enterprises.  Below are three examples of leading enterprises that will present how Hadoop has impacted their businesses. GE, Product Manager, Linden Hillenbrand, will be talking about how Hadoop has improved GE’s Marketing & Communications functions.  One capability GE has ... Read More

Feed: Planet big data. Author: David Smith. Rmarkdown is an enormously useful system for combining text, output and graphics generated by R into a single document. Images, in particular, are a powerful means of communication in a report, whether they be data visualizations, diagrams, or pictures. To maximize the power of those images, Zev Ross has created a comprehensive list of tips and tricks for working with images in R markdown documents. Those tips include: While Zev's guide focuses on manipulating images as generated by R, this might also be a good time to revisit these tips on making the ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Monday, June 26, 2017 By Jibran Saithi, Lead Architect, Qubit At Qubit, we enable over 400 million personalized experiences per month, and to power those experiences we process data from websites, mobile apps and other customer touchpoints. Managing and processing this data in near-real time is a significant challenge; various stages of the pipeline process events at over 500K messages per second, all of which need to be validated, enriched and routed with ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Today, we are excited to announce a new Power BI solution template - the Campaign/Brand Management template for Facebook! This solution template adds to the growing library of social analytics solution templates including the Campaign/Brand Management for Twitter and Advanced Search for Bing News solution templates. Powerful Yet Easy to Use This latest solution template provides powerful yet easy to understand analytics on any Facebook page. After defining one or many Facebook Pages to follow, you can quickly navigate posts and comments, identify key trends, understand user sentiment, and ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Alex Kozlov. Fraud has multiple meanings and the term can be easily abused.  The definition of fraud has undergone multiple changes throughout the years and is elusive as well as fraud itself.  The modern legal definition of fraud usually contains a few elements that have to be proven in court and depends on the state/country.  For example, in California, the elements of fraud, which give rise to the fraud cause of action in the California Courts, are: (a) misrepresentation (false representation, concealment, or nondisclosure); (b) knowledge of falsity (or scienter); (c) intent to ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: John Kreisa. This post was contributed by Jonathan Seidman from Orbitz. Jonathan is a Lead Engineer on the Intelligent Marketplace/Machine Learning team at Orbitz Worldwide . You can hear more from Jonathan at Hadoop World October 12th in NYC. Orbitz Worldwide (NYSE:OWW) is composed of a global portfolio of online consumer travel brands including Orbitz, Cheaptickets, The Away Network, ebookers and HotelClub, Additionally, the company operates business-to-business service: Orbitz Worldwide Distribution provides third parties such as Amtrak, Delta, LAN, KLM, Air France and a number of other leading airlines hotel booking capabilities, and Orbitz for ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Alex Kozlov. Apache Hadoop and Apache HBase are gaining popularity due to their flexibility and tremendous work that has been done to simplify their installation and use.  This blog is to provide guidance in sizing your first Hadoop/HBase cluster.  First, there are significant differences in Hadoop and HBase usage.  Hadoop MapReduce is primarily an analytic tool to run analytic and data extraction queries over all of your data, or at least a significant portion of them (data is a plural of datum).  HBase is much better for real-time read/write/modify access to tabular data.  Both ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Chad Metcalf. One of the more common requests we receive from the community is to package Apache HBase with Cloudera’s Distribution for Apache Hadoop. Lately, I’ve been doing a lot of work on making Cloudera’s packages easy to use, and recently, the HBase team has pitched in to help us deliver compatible HBase packages. We’re pretty excited about this, and we’re looking forward to your feedback. A big thanks to Andrew Purtell, a Senior Architect at TrendMicro and HBase Contributor, for leading this packaging project and providing this guest blog post. -Chad Metcalf ... Read More

Feed: Alation. Author: Stephanie McReynolds. As big data matures, the way you think about it may have to shift also. It’s no longer enough to build the data warehouse. Dave Wells, analyst with the Eckerson Group suggests that realizing the promise of the data warehouse requires a paradigm shift in the way we think about data along with a change in how we access and use it. Self-service analytics environments are giving rise to the data marketplace. Unlike the data warehouses of the past, an enterprise data marketplace (EDM) doesn’t just store, process, or manage information by IT. Instead it ... Read More