Showing posts with label datavirt. Show all posts
Showing posts with label datavirt. Show all posts

Friday, October 30, 2015

Webinar: How to become a data-driven organization to achieve more and gain a competitive edge







Data-driven companies share characteristics that help them achieve more and gain a competitive advantage within their industry. The importance of data-driven thinking is not new, but what does it mean in practice?

Red Hat and Mammoth Data deliver a modern, cloud-ready architecture using Hadoop and Spark to transform your organization into a data-driven one.

Join this webinar to learn about:
  • What a data driven company is and what the challenges are to becoming one
  • Moving to real time—the stages of data-driven transformation
  • Data consolidation and analytics
  • Computer-aided decision making
  • Real-time decision making:
    • The semantic web, natural language, and “everything-as-a-service”
    • Modern data architecture and solutions
A case study, using a real-world situation, will also be a part of this webinar.
    Speakers: 

    Syed Rasheed, sr. product marketing manager, Red Hat
    Andrew C. Oliver, president and founder, Mammoth Data

    Join the live event:
    Time zone converter
    • Tuesday, November 17, 2015 | 11 a.m. EDT | 8 a.m. PDT

    Wednesday, October 14, 2015

    Data as a Service: JBoss Data Virtualization and Hadoop powering your Big Data solutions

    Guest blog by Syed Rasheed, Senior Product Marketing Manager
    Twitter @Junooni, eMail srasheed@redhat.com


    Red Hat and Cloudera, announce the formation of a strategic alliance. From JBoss perspective, the key objective of the alliance is to leverage big data enterprise-wide and not let Hadoop become another data silo. Cloudera combined with Red Hat JBoss Data Virtualization integrates Hadoop with existing information sources including data warehouses, SQL and NoSQL databases, enterprise and cloud applications, and flat and XML files. The solution creates business-friendly, reusable and virtual data models with unified views by combining and transforming data from multiple sources including Hadoop. This creates integrated data available on-demand for external applications through standard SQL and web services interfaces.
    The reality at vast majority of organization is that data is spread across too many applications and systems. Most organizations don’t know what they’ve lost because their data is fragmented across the organization. This problem does not go away just because an organization is using big data technology like Hadoop; in fact, they get more complicated. Some organizations try to solve this problem by hard coding the access to data stores. This simple approach inefficiently breaks down silos and brings lock-in with it. Lock-in makes applications less portable, a key metric for future proofing IT. This approach also impedes organizational agility because hard coding data store access is time consuming and makes IT more complex, incurring technical debt. Successful business need to break down the data silos and make data accessible to all the applications and stakeholders (often a requirement for real time contextual services).
    redhat-jboss-datavirt
    A much better approach to solving this problem is abstraction through data virtualization. It is a powerful tool, well suited for the loose coupling approach prescribed by the Modern Enterprise Model. Data virtualization helps applications retrieve and manipulate data without needing to know technical details about each data store. When implemented, organizational data can be easily accessed using a simple REST API or via familiar SQL interface.
    Data Virtualization (or an abstracted Data as a Service) plugs into the Modern Enterprise Platform as a higher-order layer, offering the following advantages:
    • Better business decisions due to organization wide accessibility of all data
    • Higher organizational agility
    • Loosely coupled services making future proofing easier
    • Lower cost
    Data virtualization is therefore a critical part of the big data solution. It facilitates and improves the use of big data in the enterprise by:
    • Abstracting big data into relational-like views
    • Integration with existing enterprise sources
    • Adding real time query capabilities to big data
    • Providing full support for standard based interfaces like REST and OData in addition JDBC and ODBC.
    • Adding security and governance to the big data infrastructure
    • Flattening data siloes through a unified data layer.
    Want to learn more, download, and get started with JBoss Data Virtualization visit http://www.jboss.org/products/datavirt
    Data Virtualization by Example https://github.com/datavirtualizationbyexample
    Interested in community version then visit http://teiid.jboss.org/

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    Tuesday, September 29, 2015

    Red Hat and the Strata+Hadoop World Conference

    This week I am at the Strata plus Hadoop World Conference in New York City which is presented by O'Reilly and Cloudera.  Red Hat has a booth and Product highlights include JBoss Data Virtualization, Red Hat Storage and Red Hat Enterprise Linux.  Take a look at some of the information being highlighted below:


    The theme of the conference is Make Data Work.  The Keynotes will be streamed live during the conference on Wednesday, September 30 and Thursday, October 1.  The live stream schedule is below:

    Wednesday, September 30

    8:45am - 8:50am
     
    Roger Magoulas @rogerm (O'Reilly Media), Doug Cutting @cutting(Cloudera), Alistair Croll @acroll (Solve For Interesting)
    8:50am - 9:05am
     
    Mike Olson @mikeolson (Cloudera)
    9:05am - 9:15am
     
    AnnMarie Thomas @amptMN (School of Engineering and Schulze School of Entrepreneurship, University of St. Thomas)
    9:15am - 9:25am
     
    Joseph Sirosh (Microsoft)
    9:25am - 9:30am
     
    Ron Kasabian (Intel), Michael Draugelis @mdraugelis (Penn Medicine)
    9:30am - 9:35am
     
    Tim Howes @howes28 (ClearStory Data)
    9:35am - 9:40am
     
    Jim McHugh (Cisco)
    9:40am - 9:50am
     
    Joy Johnson @joyjohnson (AudioCommon)
    9:50am - 10:00am
     
    David Boyle @beglen (BBC Worldwide)
    10:00am - 10:10am
     
    DJ Patil @dpatil (White House Office of Science and Technology Policy)
    10:10am - 10:25am
     
    Katherine Milkman @Katy_Milkman (Wharton School at the University of Pennsylvania)
    10:25am - 10:30am
     
    Ben Lorica @bigdata (O'Reilly Media)
    10:30am - 10:45am
     
    Jeff Jonas @jeffjonas (IBM)

    Thursday, October 1

    8:45am - 8:50am
     
    Roger Magoulas @rogerm (O'Reilly Media), Doug Cutting @cutting(Cloudera), Alistair Croll @acroll (Solve For Interesting)
    8:50am - 9:00am
     
    Doug Wolfe (CIA)
    9:00am - 9:10am
     
    Daniel Goroff @DGoroff (Alfred P. Sloan Foundation)
    9:10am - 9:20am
     
    Jack Norris @Norrisjack (MapR Technologies)
    9:20am - 9:25am
    Ben Werther @bwerther (Platfora)
    9:25am - 9:30am
    Paul Kent @hornpolish (SAS)
    9:30am - 9:45am
     
    Farrah Bostic @farrahbostic (The Difference Engine)
    9:45am - 9:50am
     
    Shivakumar Vaithyanathan (IBM)
    9:50am - 10:00am
     
    Jake Porway (DataKind)
    10:00am - 10:20am
     
    Maciej Ceglowski @pinboard (Pinboard.in)
    10:20am - 10:40am
     
    Maria Konnikova (The New Yorker | Mastermind)
    10:40am - 10:45am
     
    Roger Magoulas @rogerm (O'Reilly Media), Doug Cutting @cutting (Cloudera), Alistair Croll @acroll (Solve For Interesting)

    More detail on Data Virtualization 6.2

    I wanted to send a follow up posting on more detail on JBoss Data Virtualization 6.2 GA.

    JDV 6.2 Features

    JDV 6.2 is a short release primarily focused on supporting EAP 6.4.  Even so, there are some technology updates and other noteworthy improvements:

    Support for EAP 6.4
    JDV 6.2 is supported with EAP 6.4.3. Note that starting with JDV 6.2, we no longer bundle EAP with the JDV product. The user needs to get EAP from a separate download. This allows JDV customers the flexibility to use existing EAP instances (EAP v 6.4.3 and above) that they already have installed, as well as the ability to move to newer versions of EAP more easily.

    JDG 6.4
    JDV 6.2 extends support for JDG 6.4 by adding capabilities for the JDG 6.4 Domain-specific Language (DSL) translator utilizing Google Protocol Buffer (protobuf) serialization. This enables you to run SQL queries on data stored in JDG remote caches. With JDV 6.1 only key-based access for remote caches was supported.

    Kerberos Delegation Improvements
    JDV 6.1 JDBC driver was capable of negotiating a new Kerberos token, but was not capable of propagating an existing Kerberos token. Starting with JDV 6.2, the JDBC driver is capable of participating in Kerberos delegation, if the higher order application stack already negotiated a Kerberos token. This leads the way to true SSO from the client application stack to all the way to the data source, if data source also supports Kerberos delegation. The features to enable Kerberos delegation for Oracle and MS-SQL Server, Hive and Cloudera Impala data sources in addition to JDBC were also added.

    Pushdown Query Improvements
    Pushdown query capabilities are extended to include salesforce.com, LDAP, JPA and OLAP data sources. In prior versions of JDV, there was the ability to optionally push an entire query to a JDBC data source unchanged. This allows customers the flexibility to be able to use SQL that is proprietary to a data source directly to the source when necessary, without needing to translate it to SQL 92 in the JDV Engine. New for JDV 6.2, we extended this capability beyond JDBC to additional data sources.

    Modeshape
    In JDV 6.2, we take advantage of EAP security caching in Modeshape to improve performance when an external security domain, like LDAP, is used.

    Java 8 MS Access Translator
    In JDV 6.1, all the ODBC sources utilized ODBC-JDBC bridge provided in Java. With the removal of ODBC-JDBC Bridge in Java 8, a new translator is introduced to read from the MS Access database.

    Apache HBase Resource Adapter (Technical Preview)
    Apache HBase is an open source, non-relational, distributed database modeled after Google's BigTable and written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed Filesystem), providing BigTable-like capabilities for Hadoop. In JDV 6.2, we released a resource adapter for Apache HBase that will be officially certified following the JDV 6.2 release.

    Tooling Improvements
    JDV 6.2 is released with JBDSIS 8.0.3 and JBDS 8.1 (Eclipse Luna)

    For JDV 6.2, we improved the usability of Teiid Designer in several areas including:
    • Resizing of dialogue boxes for smaller screens (particularly useful for demo environments)
    • Renaming and moving models
    • REST and SOAP import functionality
    • Guides View/Cheat Sheet actions
    • Teiid Connection Importer
    • General improvements for Mac OS

    Friday, September 18, 2015

    Data Virtualization 6.2 Released!

    We are pleased to announce the release of Data Virtualization 6.2.  This is a minor release and the highlights are:
    • EAP 6.4 Support
    • Teiid Designer usability improvements
    • Kerberos passthrough for Cloudera, Oracle and MS SQL Server
    You can download the product from http://www.jboss.org/products/datavirt/download/ or from the Customer Support Portal (CSP) at https://access.redhat.com/.   You will also need to download EAP 6.4 and the EAP 6.4.3 roll up patch to install DV 6.2.  Also you can access the updated documentation at https://access.redhat.com/documentation/en-US/Red_Hat_JBoss_Data_Virtualization/6.2/index.html

    To install Data Virtualization 6.2:

    1. Install EAP 6.4 after downloading from http://www.jboss.org/products/eap/download/
    2. Install the EAP 6.4.3 roll up patch from the Customer Support Portal https://access.redhat.com/jbossnetwork/restricted/softwareDownload.html?softwareId=39353
    3. Install DV 6.2 after downloading from the above link.


    The Data Virtualization 6.2 tooling (Teiid Designer 9.0.3.Final) is available.  Note that testers have verified this Designer version with JBDS 8.1.0 (Eclipse Luna).  
    1. Download JBDS 8.1.0 : https://www.jboss.org/products/devstudio/download/
    2. Add DV tooling via the JBoss Central panel select the Software/Updates tab, check JBoss Data Virtualization option and click the Install/Update button.
    You could also install Teiid Designer 9.0.3 into an 8.0/8.1 version using this update site https://devstudio.redhat.com/updates/8.0/


    To help you get started we created a getting started example with CSV and XML sources in a customer context scenario. Run one of 3 options to get you started easily.
    • Run with JBDS
    • Run without JBDS
    • Run with Docker  
    The Teiid Project is included in the repository so you can take a look at the views and preview data before deployment.  Take a look at https://github.com/jbossdemocentral/dv-gettingstarted and get started with Data Virtualization 6.2.  


    The following table provides a list of data sources and translators that are supported by Red Hat.

    Data SourceTranslatorSupported DV VersionDriver
    Apache Hive 12
    -
    6.0+
    -
    Apache Solr
    solr
    6.1+
    -
    Cloudera Hadoop
    -
    6.1+
    -
    EDS 5.x
    teiid
    6.0+
    -
    Files – delimited, fixed length
    file
    6.0+
    -
    Generic Datasource-JDBC ansi
    jdbc-ansi
    6.0+
    -
    Generic Datasource-JDBC simple (postgresql84)
    jdbc-simple
    6.0+
    -
    Google Spreadsheet
    -
    6.0+
    -
    Greenplum 4.x
    postgresql
    6.0+
    -
    Hortonworks Hadoop
    -
    6.1.+
    -
    HSQL (for test/examples only)
    -
    -
    -
    IBM DB2 10
    db2
    6.1+
    Universal Driver v4.x
    IBM DB2 9.7
    db2
    6.0+
    Universal Driver v4.x
    Ingres 10
    ingres
    6.0+
    -
    Intel Hadoop
    -
    6.1+
    -
    JBoss Data Grid 6.4 (remote client - hotrod)
    infinispan-cache-dsl
    6.2+
    -
    JBoss Data Grid 6.4 (library mode)
    infinispan-cache
    6.0 - post GA, 6.1+
    -
    LDAP/ActiveDirectory v3
    ldap
    6.0+
    -
    Mainframe (CICS,IMS,VSAM)
    -
    6.0+
    -
    MariaDB
    mysql5
    6.1+
    -
    ModeShape/JCR 3.1
    -
    6.0+
    -
    MongoDB 2.2
    mongodb 6.0
    -
    post GA, 6.1+ -
    MS Access 2010
    -
    6.0+
    -
    MS Access 2013
    -
    6.0+
    -
    MS Excel 2010
    excel
    6.0+
    -
    MS Excel 2013
    excel
    6.0+
    -
    MS SQL Server 2008
    sqlserver 6.0+
    Microsoft SQL Server
    JDBC Driver 4
    MS SQL Server 2012
    sqlserver 6.0+
    Microsoft SQL Server
    JDBC Driver 4
    MySQL 5.1
    mysql5
    6.0+
    V5.1
    MySQL 5.5
    mysql5
    6.0+
    V5.5
    Netezza 6.0.2
    netezza
    6.0+
    -
    Oracle 10g R2
    oracle
    6.0+
    Oracle JDBC Driver v10
    Oracle 11g RAC
    oracle
    6.0+
    Oracle JDBC Driver v11
    Oracle 12c
    oracle
    6.0 - post GA, 6.1+
    Oracle JDBC Driver v12
    PostgreSQL 8.4
    postgresql
    6.0+
    -
    PostgreSQL 9.2
    postgresql
    6.0+
    -
    REST/JSON over HTTP
    ws
    -
    -
    RHEL 5.5/6 PostgreSQL config
    -
    6.0+
    -
    Salesforce.com API 22
    salesforce
    6.0+
    -
    SAP Netweaver Gateway (OData)
    sap-nw-gateway
    6.1+
    -
    Support SAP Service Registry as a Data Source
    -
    6.2+
    -
    Sybase ASE 15
    sybase
    6.0+
    jConnect JDBC3.0 v7
    Teradata Express 12
    teradata
    6.0+
    -
    Webservices
    ws
    6.0+
    -
    XML Files
    FILE
    6.0+
    -