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Last week, we hosted   Get Started with Big Data in the Cloud ASAP webinar with speakers from Hortonworks, Shaun Connolly and Ovum, Tony Baer. The webinar provided a very informative overview around the challenges enterprises are facing with the overwhelming number of choices available in the cloud. It covered how businesses can get over the hurdle so it can focus on a “lift and reshape” cloud strategy that will enable organizations to take full advantage of the benefits of your cloud deployment. [1] Some great questions came across during the webinar and as promised, here is a brief capture of that Q&A and the slides.    What is the best way to choose a right Cloud? As there are many Cloud vendors in the market. A: The best way to start is to understand your cloud strategy over the next few years and work with a vendor that can grow and is flexible with your cloud strategy. Some clients/customers have a preference for a certain cloud vendor(s) de

Применение алгоритмов машинного обучения на платформе Hadoop для обработки большого объема данных | Курс:... Go to the article

This is the second part in a series of posts about the evolution of Hadoop in the cloud. The first post is here [1] . Whenever I talk to a customer or look to solve a challenge I always think it’s best to start with a discussion around capabilities. Capabilities speak to the actual needs and help us not get caught up in a technology discussion or trying to solve the challenge before we fully understand the challenge. When we need to transform large amounts of data or process through large amounts of data in preparation for business centered objectives knowing the capability needs is essential. This is not intended to be a complete or exhaustive capability list. Transforming, querying or processing large amounts of data means storing large amounts of data (also need to know other characteristics like where it’s coming from, the nature of data movement, security requirements, etc. but we’ll start with storing). Historically this was done in either a file system or some kind

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Enterprise cloud [1] company Cloudera [2] ’s new Platform-as-a-Service (PaaS) aims to make it easier [3] to run big data workloads in the cloud. The product, Altus, is initially available on Amazon Web Services [4] (AWS) but will expand to support other public clouds including Microsoft [5] Azure, the company said. The PaaS allows data engineers to run Hadoop or Spark jobs in the cloud. Hadoop and Spark are  open-source [6] , distributed database systems designed for interpreting large amounts of data. The company, which went public in April [7] , helped pioneer the market for Hadoop. Data engineers can run Apache Spark, Apache Hive, Hive on Spark, and MapReduce2 through Altus. Cloudera calls these open-source data engines “data pipelines.” Altus executes and manages these pipelines, deploying them on clusters and automating processes like cluster provisioning, configuring, and termination. “Altus allows data engineers to transform data that lands in S3 really fast, and far mor

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Big Data Dudes - UNPLUGGED. Your favorite Big Data heroes show you how to easily work with HDFS (the Hadoop Distributed File System) on a Hadoop ... Go to the article

Comprehensive Course on Apache Hadoop Database: Apache HBase === COURSE INFO ====================================== In this Apache ... Go to the article

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What is big data?? "Big Data“ is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and ... Go to the article

Download or Read Hadoop Backup and Recovery Solutions by Gaurav Barot eBook PDF This Link: http://bitly.com/2gNcl7n. Go to the article

PHP and MYSQL Web Development PHP and MYSQL Database Tutorial Full Videos Having thought for more than 5 years at school level and having seen the ... Go to the article

Relational databases in a cloud world Gaby Schilders (EnterpriseDB) In which we will discuss why every modern CompSci student should know about the CAP ... Go to the article

This is a beginners guide to NoSQL databases. We will talk about what they are, the advantages and disadvantages of NoSQL and relational databases and ... Go to the article

[DOWNLOADS] Practical Hive: A Guide to Hadoop s Data Warehouse System http://menujusuksessejati.club/?book=1484202724 [download] Practical Hive: A ... Go to the article

SAS 強大的分析技術， 能夠幫助資料科學家解讀Hadoop 的資料。 結合SAS與Hadoop，可有效解讀所有的資訊， 將資料化為決策，速度之快超乎想像! Go to the article

    Spark training in bangalore   BANGALORE, India - May 22, 2017 - PRLog [1] -- In the evolution of Big Data Space, The Apache Spark training in bangalore has been one word buzzing around for the people. The Apache Spark is an open source high speed data processing engine which is built to deliver unparalleled speed making it to be to use and also developed with a great effort of the updated technology. The Apache Spark can work as a parallel data processing Network along with Hadoop training in bangalore offering extreme ease in developing fast. Benefits for using Apache Spark 1. Lightning Fast Processing In the Big Data Processing, the option of speed In the modern age, the requirement of fast networking is indeed something that has made Apache Spark to be the primary choice. Also, The Fast processing of huge data sets is the priority counting the Apache Spark training in pune to be running 100 times faster than others. This is easily achieved by Spark by simply reducing the

This video shows you how to configure Google Scholar to show links to full text articles available from the Pace library. Go to the article

If there’s one thing that’s become obvious in the last year or so it’s that when it comes to cloud, business success is more than just “installing OpenStack” or “deploying Kubernetes [1] ”; it’s about doing whatever it takes to run applications in the most appropriate environment, and in the most reliable way. At the Boston OpenStack Summit in May, I demonstrated a hybrid cloud application that ran Big Data analysis using a combination of components running on bare metal, in virtual machines, and in containers . In this blog, I’ll explain how that worked. [2] Users aren’t looking for technology Have you ever brought your car to a mechanic and asked for a new oxygen sensor? Of course not. You go in asking for a solution to bad gas mileage or because your check engine light is on. You don’t care how they fix it, you just want it fixed. Customers are the same. They don’t care if they have the very best OpenStack distribution if they can’t get their users to stop dropping their cre

Overview The 25-day quiet period on Cloudera Inc. (NYSE: CLDR [1] ) is set to expire on May 23, allowing the firm's IPO underwriters to publish detailed positive reports and recommendations on the company. Cloudera operates a data management, analytics software, and machine learning platform in the United States, Europe, and Asia. Underwriters (Allen & Co., J.P. Morgan Securities, Morgan Stanley, BofA Merrill Lynch, Citigroup Global Markets, Deutsche Bank Securities, JMP Securities, Raymond James & Associates, and Stifel Nicolaus & Company) have been restricted from publishing research reports on Cloudera since the company's IPO on 4/27; we predict the strong syndicate will be eager to release positive reports and recommendations once restrictions are lifted. We also expect this event to lead to a boost in the stock price for Cloudera (according to our research [2] ). Investors who purchase shares prior to the 5/23 expiration date could benefit from a full ramp

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To register for the Hadoop course, please visit the website www.ravindrababuravula.com. Go to the article

See what's new in Talend v5.3 - http://www.talend.com/products/what-new-in-v53 This video describes how to create common Hadoop connections that can be ... Go to the article

IT staff at Dell advance their Enterprise Business Intelligence platform by integrating the Cloudera | Hadoop reference architecture – built on Dell servers and ... Go to the article

Tips For Data Entry Work | Data entry jo tips by Searchline Database Delhi. Go to the article

Here is the most noteworthy news since my last “Big News In Databases” post from November 2016 . A new SQL standard was released (SQL:2016) In December 2016, ISO released a new version of the SQL standard. It introduces new features such as row pattern matching, listagg , date and time formatting, and JSON support. I've already written about listagg and made a presentation about row pattern matching . Subscribe the modern-sql.com blog for further updates on the new standard. Oracle Database 12.2 on premises, cloud prices double for AWS and Azure Oracle’s cloud strategy was already topic in my previous post : Although the latest database release 12.2 was in November 2016, it was not available for download at that time—it was only available as a service in the Oracle cloud. In January 2017, Oracle effectively doubled the license cost for the Oracle databases in Amazon’s and Microsoft’s cloud environments . And how does Microsoft react? On May 10, Microsoft announced the availabilit

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This is an excerpt from Bas Geerdink’s talk “Hadoop and Spark at ING” from Strata + Hadoop World New York 2016. Visit Safari to view the entire presentation [1] . To learn more about business cases for data in finance, check out the  financial services sessions [2]  at the  Strata Data Conference in New York, September 25-28, 2017 [3] . Registration is now open. References ^ view the entire presentation (www.safaribooksonline.com) ^ financial services sessions (conferences.oreilly.com) ^ Strata Data Conference in New York, September 25-28, 2017 (conferences.oreilly.com) Go to the article

This is an excerpt from Bas Geerdink’s talk “Hadoop and Spark at ING” from Strata + Hadoop World New York 2016. Visit Safari to view the entire presentation [1] . To learn more about business cases for data in finance, check out the  financial services sessions [2]  at the  Strata Data Conference in New York, September 25-28, 2017 [3] . Registration is now open. References ^ view the entire presentation (www.safaribooksonline.com) ^ financial services sessions (conferences.oreilly.com) ^ Strata Data Conference in New York, September 25-28, 2017 (conferences.oreilly.com) Go to the article