Big Data Integration Webinar Series

May 6, 2013

line-chartDo you have a big data integration plan? Are you implementing big data? Big data, big data, big data. Did we say big data? EVERYONE is talking about big data…..but what are they really talking about? When you pull back the marketing curtains and look at the technology, what are the main elements and important true and tried trends that you should know?

Pentaho is hosting a four-part technical series on the key elements and trends surrounding big data. Each week of the series will bring a new, content-rich webinar helping organizations find the right track to understand, recognize value and cost-effectively deploy big data analytics.

All webinars will be held 8 am PT / 11 am ET / 16:00 GMT. To register follow the links below and for more information contact Rob Morrison at rmorrison at pentaho dot com.

1) Enterprise Data Warehouse Optimization with Hadoop Big Data

With exploding data volumes, increasing costs of the Enterprise Data Warehouse (EDW) and a raising demand for high-performance analytics, companies have no choice but to reduce the strain on their data warehouse and leverage Hadoop’s economies of scale for data processing. In the first webinar of the series, learn how using Hadoop to optimize the EDW gives IT professionals processing power, advanced archiving and the ability to easily add new data sources.

Date/Time:
Wednesday, May 8, 2013
8 am PT / 11 am ET / 16:00 GMT

Registration:
To register for the live webinar click here.
To receive the on-demand webinar click here.

2) Getting Started and Successful with Big Data

Sizing, designing and building your Hadoop cluster can sometimes be a challenge. To help our customers, Dell has developed: Hadoop Reference Architecture, a best practice documentation and open source tool called, Crowbar. Paul Brook, from Dell, will describe how customers can go from raw servers to Hadoop cluster in under two hours.

Date/Time:
Wednesday, May 15, 2013
8 am PT / 11 am ET / 16:00 GMT

Registration:
To register for the live webinar click here.
To receive the on-demand webinar click here.

3) Reducing the Implementation Efforts of Hadoop, NoSQL and Analytical Databases

It’s easy to put a working script together as part of an R&D project, but it’s not cost effective to maintain it throughout an ever building stream of user change requests, system and product updates.  Watch the third webinar in the series to learn how choosing the right technologies and tools can provide you the agility and flexibility to transform big data without coding.

Date/Time:
Wednesday, May 22, 2013
8 am PT / 11 am ET / 16:00 GMT

Registration:
To register for the live webinar click here.
To receive the on-demand webinar click here.
4)Reporting, Visualization and Predictive from Hadoop

While unlocking data trapped in large and semi-structured data is the first step of a project, the next step is to begin to analyze and proactively identify new opportunities that will grow your bottom-line. Watch the fourth webinar in the series to learn how to innovate with state-of-the-art technology and predictive algorithms.

Date/Time:
Wednesday, May 29, 2013
8 am PT / 11 am ET / 16:00 GMT

Registration:
To register for the live webinar click here.
To receive the on-demand webinar click here.

 

Leave a Comment » | Big Data, Big Data Analytics, Business Analytics, Uncategorized | Tagged: , , | Permalink
Posted by rebeccapentaho

Ensure Your Big Data Integration and Analytics Tools are Optimized for Hadoop

March 27, 2013

Existing data integration and business analytics tools are generally built for relational and structured file data sources, and aren’t architected to take advantage of Hadoop’s massively scalable, but high-latency, distributed data management architecture. Here’s a list of requirements for tools that are truly built for Hadoop.

A data integration and data management tool built for Hadoop must:

  1. Run In-Hadoop: fully leverage the power of Hadoop’s distributed data storage and processing. It should do this via native integration with the Hadoop Distributed Cache, to automate distribution across the cluster. Generating inefficient Pig scripts doesn’t count.
  2. Maximize resource usage on each Hadoop node: each node is a computer, with memory and multiple CPU cores. Tools must fully leverage the power of each node, through multi-threaded parallelized execution of data management tasks and high-performance in-memory caching of intermediate results, customized to the hardware characteristics of nodes.
  3. Leverage Hadoop ecosystem tools: tools must natively leverage the rapidly growing ecosystem of Hadoop add-on projects. For example, using Sqoop for bulk loading of huge datasets or Oozie for sophisticated coordination of Hadoop job workflows.

The widely distributed nature of Hadoop means accessing data can take minutes, or even hours. Data visualization and analytics tools built for Hadoop must mitigate this high data access latency:

  1. Provide end-users direct access to data in Hadoop: and after initial access, provide instant speed-of-thought response times.  It must be done in a way that is simple and intuitive for end users, while providing IT with the controls they need to streamline and manage data access for end users.
  2. Create dynamic data marts: make it easy and quick to spin-off Hadoop data into marts and warehouses for longer-lived high-performance analysis of data from Hadoop.

Learn how big data analytics provider Pentaho is optimized for Hadoop at www.pentahobigdata.com.

- Ian Fyfe, Pentaho

Hadoop Elephantthis blog originally appeared on GigaOM at http://gigaom.com/2012/12/11/ensure-your-big-data-integration-and-analytics-tools-are-optimized-for-hadoop/

Leave a Comment » | Big Data, Big Data Analytics, Business Analytics, Uncategorized | Permalink
Posted by ianfyfe

Make Your Voice Heard! – 2013 Wisdom of Crowds Business Intelligence Market Study

March 12, 2013

Make your voice heard!

Participate in the 2013 Wisdom of Crowds ® Business Intelligence Market Study and get a complimentary copy of the study findings. 

Dresner Advisory Services is inviting all Business Intelligence (BI) users to participate in its annual examination of the state of the BI marketplace focusing on BI usage, deployment trends, and products.

The 2013 report will build on previous years’ research and will expand to include questions on the latest and emerging trends such as Collaborative BI, BI in the Cloud, and Embedded BI. It will also rank vendors and products, providing an important tool for organizations seeking to invest in BI solutions.

BI users in all roles and throughout all industries are invited to contribute their insight, which should take approximately 15 minutes.  The final report is scheduled to be out in late Spring, and qualified survey participants will receive a complimentary copy.

Click here to start the survey today!

Leave a Comment » | Big Data Analytics, Business Analytics, Uncategorized | Permalink
Posted by rebeccapentaho

Xyratex and Pentaho – Making Big Data, Fast Data.

February 11, 2013

Pentaho and Xyratex today announced our strategic partnership to deliver the world’s first integrated Big Data analytics and scalable storage solution.  We have been working on this joint initiative for some time with the ClusterStor team at Xyratex. ClusterStor is the worlds fastest and most performant storage sub-system.  This will be significantly enhanced by the addition of Hortonworks Hadoop and Pentaho Business Analytics.

Xyratex and Pentaho will make Big Data, Fast Data.  This solves a key pain point for Xyratex’s customers. With all of the compute, storage, database and analytics in one true integrated platform, this appliance will eliminate the large data silos as well as put all of that Big Data, into the hands of the business users.  And it will do that fast!  The ClusterStor, Hadoop and Pentaho Big Data Appliance will deliver business analytics on huge data sets, at the lowest TCO and allow the ClusterStor customers to realize rapid business value from their data with a very short time to value.

Xyratex has taken the complexity of deploying Hadoop away from the customer with this integrated appliance. Critically, ClusterStor also meets all the key criteria in the deployment of an enterprise class Big Data solution; scalable, best in class performance, reliability and rapid time.

Leave a Comment » | Big Data, Big Data Analytics, Business Analytics | Tagged: | Permalink
Posted by itsmetess

Looking to the Future of Business Analytics with Pentaho 4.8

November 12, 2012

Last week Pentaho announced Pentaho 4.8, another milestone in delivering the future of analytics. It has been an exciting ride. Our partners’ and our customers’ feedback have kept us ecstatic and ready to excel further into the future.

Pentaho 4.8 is a true testament on what the future of analytics needs. The future of analytics is driven by the data problems that businesses face every day – and is dependent on the information users and their expectations for solving those problems.

Let me give you a good example. I recently had the pleasure to meet with one of our customers – BeachMint. BeachMint is a fashion and style ecommerce company who uses celebrities / celebrity stylists to promote its retail business.

This rapidly growing online retailer needed to keep tabs on its large twitter and facebook communities to track customer sentiment and social influence. It then uses the social data to define customer cohorts and design marketing campaigns that best target each cohort.

For BeachMint insight to data is extremely important. But on one hand, the volumes and variety of data – in this case unstructured social data and click-through ad feeds – has increased its complexity. And on the other hand, the speed in which it gets created has accelerated rapidly. For example, in addition to analyzing the impact of customer sentiments on their purchasing behavior, BeachMint also needed to gain up-to-the-minute information on the activity of key promotional codes – to immediately identify those that leak out.

Pentaho understands these data challenges and user expectations. In this release Pentaho takes full advantage of its tightly coupled Data Integration and Business Analytics platform – to simplify data exploration, discovery and visualization for all users and all data types – and to deliver this information to users immediately – sometimes even at a micro-second level. In this release Pentaho delivers:

- Pentaho Mobile – the only Mobile BI application with the power to instantly create new analysis on the go.

- Pentaho Instaview – the industry’s first instant and interactive big data visualization application.

Want to find out more? Register for Pentaho 4.8 webinar and see for yourself.

- Farnaz Erfan, Product Marketing, Pentaho

Leave a Comment » | Big Data Analytics, Business Analytics, Mobile BI, Sentiment Analysis | Tagged: , | Permalink
Posted by Farnaz Erfan

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