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Hallmarks of Anaconda's new Enterprise release include deployment of Python-generated assets to executives and analysts, and Python machine learning models to mainstream developers. Go to the article

PLEASE WATCH MY INTERVIEW WITH #DNCFRAUDLAWSUIT ATTORNEYS JARED AND ELIZABETH BECK!! https://www.youtube.com/watch?v=-fmZq8lRyJs ... Go to the article

In this blog post, we’ll look at nested data structures in ClickHouse for MySQL and how this can be used with PMM to look at queries. Go to the article

Learn from a set of SQL Server 2017 Graph Database query examples to get started with this new technology. Go to the article

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bobsguide sat down with Adrian Carr, Senior Vice President, Worldwide Sales at MarkLogic Corporation to discuss the most pressing issues financial services are experiencing with their data storage solutions. Go to the article

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Check out these articles on performance for databases, web pages and apps, Kotlin on the JVM, scalability and high availability, and job opportunities. Go to the article

Leave a comment and SUBSCRIBE! \m/^_^\m/ To get the mp3, backingtrack and more go to: http://patreon.com/pellekofficial This was the final sponsored ... Go to the article

This is an educational video showing how to setup Eclipse for Hadoop Programming. If you would like to learn more please visit us at ... Go to the article

HowToForge: OrientDB is a free and open source NoSQL database management system. Go to the article

BIG DATA HADOOP Tutorial for Beginners and BIG DATA HADOOP TRAINING Videos and BIGDATA HADOOP TUTORIAL and BIG DATA HADOOP TRAINING ... Go to the article

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Microsoft SQL Server is one of the most innovative software products available on the market today. SQL Server is designed to store and retrieve data in the Go to the article

Not all data is fit to be streamed. Not yet, anyway. But one big data exec argues that the universe just keeps expanding for streaming data. Go to the article

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In this ASP.NET Core video tutorial, i will show you, How to get all the users which is stored in the Identity Database. Go to the article

In a relational database such as MySQL, foreign keys are used to link records in different tables. Additionally, you can set up foreign key constraints to control ... Go to the article

Official News from Microsoft’s Information Platform Go to the article

using wampserver. Go to the article

PHP language Create Database In Server PHP (recursive acronym for PHP: Hypertext Preprocessor) is a widely-used open source general-purpose scripting ... Go to the article

A System for Profiling and Monitoring Database Access Patterns by Application Programs for Anomaly D IEEE PROJECTS 2017-2018 Call Us: +91-7806844441 ... Go to the article

Posted on August 18th, 2017 Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. Hadoop Explained: An introduction to the most popular Big Data platform in the world introduces you to Hadoop and to concepts such as MapReduce, Rack Awareness, YARN, and HDFS Federation, which will help you get acquainted with the technology. Description Topics included: Understanding Big Data • MapReduce • Hadoop. Book Details Author(s): Aravind Shenoy Publisher: Packt Publishing Published: June 2014 Format(s): PDF File size: 0.77 MB(PDF) Number of pages: 22 Download / View Link(s): PDF [1] References ^ PDF (www.packtpub.com) Go to the article

Exchange Server is a wide platform that brings multiple Outlook client accounts together at a single location. This is often found being used within large as well as small-scale enterprises. Exchange Server has been one of the most powerful creations of Microsoft. Microsoft Exchange server saves all its data in mailboxes that is stored in MS Exchange Database (EDB) Files. An EDB file saves all the in process as well as all non-SMTP messages.   Under this Server, two types of data storage folders are created; Private Folder, which stores all your private data, that is accessible to its authorized owner. Whereas Public Folders are the folders, which store shared data, the data shared, stored, and created by all users connected under same Exchange Server as yours. Corruption of any of these folders/ Files, i.e. EDB file can lead to a huge loss to the user and entire organization connected with Server. Therefore, it is necessary need to Repair & Recovery Exchange EDB dat

This report provides major statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market. In this report, the global Hadoop Hardware [1] market is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022. Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Hadoop Hardware in these regions, from 2012 to 2022 (forecast), covering North America Europe China Japan Southeast Asia India Request a Sample Report @ www.wiseguyreports.com/sample-request/1203086-global-hadoop-hardware-market-research-report-2017 [2] Global Hadoop Hardware market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including Cloudera Hortonworks MAPR TECHNOLOGI

In this video tutorial we are going to discuss about one of the reason why sometimes namenode is not running after starting hadoop services/daemons(dfs and ... Go to the article

This post shows how to use netbeans IDE to write hadoop java program with maven. This post has been written using Hadoop 2.7.3 , Java 8 and  mvn 3.3.9.   Demo for hadoop on netbeans with maven Example uses wordcount example available with Hadoop.If something is not readable, click on the image to get full view. 1. Open  Netbeans IDE and create Maven Project as in below screenshot   2 Click Next, to go to below screen. Enter project and package name. 3. Next add dependencies for Maven. We need two jars - Hadoop common and hadoop core.  Follow the screenshots for both as below. Right click the Dependencies under your project. Select Add dependencies, this takes you to below pop-up. In the query, type "hadoop". You will see a list below, select the highlighted option or option suited for your Hadoop install. Here we add hadoop-core. Caution - First time maven will build and download repository details, so will take a while (30 mins it took me). It will be ok from next ti

H2O [1] , now in its third major revision, provides access to machine learning algorithms by way of common development environments (Python, Java, Scala, R), big data systems (Hadoop, Spark), and data sources (HDFS, S3, SQL, NoSQL). H2O is meant to be used as an end-to-end solution for gathering data, building models, and serving predictions. For instance, models can be exported as Java code, allowing predictions to be served on many platforms and in many environments. H2O can work as a native Python library, or by way of a Jupyter Notebook, or by way of the R language in R Studio. The platform also includes an open source, web-based environment called Flow, exclusive to H2O, which allows interacting with the dataset during the training process, not just before or after.  References ^ H2O (github.com) Go to the article

This video consists of four lessons of Big Data and Hadoop Tutorial. The lesson begins with the introduction of Big data and Hadoop developer and its objectives ... Go to the article

Just as Apache Hadoop allows data scientists to work with any type of data, both Hadoop and the cloud make it possible to work with any amount of data by providing ready access to unlimited storage and capacity. Hadoop allows the use of commoditized hardware, and the cloud provides agility, allowing the data scientist to scale both compute and storage as needed. No longer constrained by their own personal environment, data scientists can now train and refine predictive models using all the data available to the enterprise—and just in time. As big data reshapes businesses and industries, the ability to build, train and work with accurate predictive models has become a primary driver of competitive advantage. The cloud offers more than just scalability. Data scientists can self-provision all the storage and compute they need quickly and efficiently, define their own parameters, get the environment up and running quickly, and then shut it all down once they’re fin

Learn how to create an Apache Spark on HDInsight cluster that includes R Server and submit an R script on the cluster. Go to the article

One of my clients reported an interesting issue and I was needed to wear detective cap to solve it. The mystery, for which they hired me was as below for Database Files Initial Size Changing Automatically. Pinal, We see an interesting issue, and we believe there is something not right with our environment. As per best practices from one of your blog, we have configured the initial file size of the database files to big enough for next 1 year data growth. We are noticing that the file size is not getting set and it changes to smaller size every night.  Would you be able to suggest us something? MY INVESTIGATION I asked them if there is any maintenance plan which runs every night and does the shrink of the database, like below? And they said that they have no maintenance plan doing such activity. Here are the various data points I looked at. SELECT * FROM database_files SELECT * FROM databases sp_helpdb SAPDB When I looked at sys.databases, I could see is_auto_shrink_on was set to 1. You

Hadoop- https://intellipaat.com/big-data-hadoop-training/ Find Big Data Hadoop Training in Toronto: https://goo.gl/Cyy349 Intellipaat provides meaningful ... Go to the article

  ( EMAILWIRE.COM , August 14, 2017 ) According to Publisher, the Big Data Analytics & Hadoop Market accounted for $8.48 billion in 2015 and is expected to reach $99.31 billion by 2022 growing at a CAGR of 42.1% from 2015 to 2022. Rise of big data & growing need for big data analytics and rapid growth in consumer data are some of the factors fueling the market growth. Lack of skilled workers and Lack of security features in the Hadoop framework are restraining the market growth. Venture capital funding is the major opportunity for vendors in big data analytics and hadoop market. Consulting services segment commanded the market due to the enterprise wide implementation of this technology. Application software is the leading segment in the market due to rising deployment by developers to develop real time applications. Storage segment leads the hardware market in terms of revenue. North America is dominating the global market, while Asia-Pacific region is anticipated to observe

Analysis Big Red has changed its database release cycle [1] , scrapping names that see decimal points and numbers added on for an indeterminate amount of time, instead plumping for annual releases numbered by the year. So what would have been Oracle Database 12.2.0.2 will now be Oracle Database 18; 12.2.0.3 will come out a year later, and be Oracle Database 19. The approach puts Oracle only about 20 years behind Microsoft in adopting a year-based naming convention (Microsoft still uses years to number Windows Server, even though it stopped for desktop versions when it released XP). In between the major versions, there will be quarterly release updates - bundles of critical fixes - and release update revisions - which will be security and regression fixes to a release update. These will replace, respectively, proactive bundle patches and patch set updates, and are understood to be on t

Azure Functions are Microsoft’s answer to Amazon’s Lambdas or Google’s Cloud Functions (AKA “serverless” architecture). They give you a way to deploy small pieces of code and let Azure handle the underlying server. I’ve never used them before, so I thought I would give them a try beyond “Hello, World” by getting them to work with Couchbase Server. There are  more options [1]  in Azure Functions beyond simple HTTP events (for example, blob triggers, GitHub webhooks, Azure Storage queue triggers, etc.). But, for this blog post, I’m going to focus on just HTTP events. I’ll create simple GET  and SET  endpoints that interact with Couchbase Server. Before beginning, you can follow along by getting the  source code for this blog post  [2] on GitHub. Getting Set Up to Develop Azure Functions For this blog post, I decided to try  Visual Studio Preview [3] . I did this because there is a  handy tool for creating [4]  Azure Function projects in Visual Studio.