Big data is a term for data sets that are so complex that traditional data processing applications are limited to dealing with them. Challenges include analyzing, capturing, searching, sharing, storing, transferring, viewing, querying, updating and confidentiality of information.
While the term “Big data” is relatively new, it is the act of collecting and storing large amounts of statistics to complete the analysis of the previous days. The concept won the initiative in the early 20th century when industry analysts tied the dominant sense of big data.IDOL adapts to incoming data by exploring and exploring information to discover the unknown – the questions you do not know. IDOL’s Adaptive Analytics have used IDOL’s Adaptive Analytics to drive intelligent, data-driven decisions that increase business processes and customer retention.
1.prompt data of the infinite amount of information.
2.real-time monitoring and prediction of events that affects business operations.
3.ability to find, analyze, connect and consider data with the tools of choice.
4.its ability for sizes to handle huge amounts of data.
5.discover important data that can improve the quality of decisions.
4.health care providers
The Steinmetz ILS is an initiative of HP Education Services. The program has a clear lead over the other competitors, as listed below
1.An inexpensive and infinite storage space.
3.Economical open source, shared large data platforms, such as Hadoop
4.Parallel processing, clustering, virtualization, large grid environments, and highly connectivity.
The duration of this sophisticated course is 40 hours, with a deep insight of Understanding the Meaning behind Big Data using HP IDOL. Students with Computer Science knowledge, Administrators, System Engineers, Developers, and Project managers would be the audience to enhance the exchange of knowledge.
The training schedule would comprise of Practical course is 70%, Theoretical course 30% with both computer and training room. Documented training materials are provided, which lay out the tasks and lessons planned for each day.
The suggested skills needed for this course are Basic Network/Software Administration, Basic Security, Web/Application Server, Knowledge Management, HTML, XML & XSLT, however the training covers HP IDOL Overview, Installing the Lab infrastructure, HP IDOL Configuration, File System Connector CFS Aggregation, Web crawling using HTTP Connector, Manual Indexing, Indexing native XML (Manual Indexing commands), Retrieval, Action Commands – Autonomy Syntax, Customizing the result fields, Using HP IDOL’s ”Retina” Web Application, Backing up HP IDOL, Exporting an HP IDOL Index, Setting up Parametric Search, Advanced Querying, Categorization, Language Considerations, Customizing the result fields, Aggregating content from a database using ODBC Connector, Security – Intellectual Asset Protection System, Monitoring & Reporting, IDOL Admin Tool, Distributed Handlers, etc.