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The above video is the recorded session of the webinar on the topic “Introduction to Pentaho BI”, which was conducted on 30th August’14
With organizations worldwide generating petabytes and terabytes of data, there comes a need to process this data and take strategic business decisions based on it. The data that is being generated can be classified into unstructured, semi-structured and structured data that is needed to be processed for taking business decisions. There are various platforms for Business Intelligence that can process such data but Pentaho is increasingly viewed as an ideal platform due to its various unique features.
To begin with, Pentaho Business Analytics is a suite of open source Business Intelligence (BI) products, which provide data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities.
One of the main features of Pentaho is its integration and embedding of data. Pentaho, being open source and providing support to Hadoop Distribution, NoSQL databases and analytics database, has become a popular choice among organizations looking to address their business intelligence needs. One of the main uses of Pentaho is in the domains, such as Big Data, Data Integration and integration of Business Analytics for enterprise applications.
Pentaho’s open source Business Intelligence (BI) products are leaders in the market and organizations prefer Pentaho due to the following features:
Organizations today are looking for Business Intelligence platforms that are expected to fulfill three fundamental objectives of an organization:
1) Precise and concise interpretation of Big Data
2) Identifying new opportunities
3) Implementing an effective strategy to have a competitive edge.
Apart from that, the organizations look for an ideal platform that has low integration and infrastructure cost, easy scalability, unlimited visualization and data sources. The preference for Pentaho is further reiterated with its ability to simplify the blending of data with an array of tools that easily analyse, visualize, explore, report and predict which makes it easy to transform data into value.
Topics covered in the video:
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