Achieve the most from Big Data with HP Software Education
15/07/15 08:19
Big Data. Two words that whilst simple independently, when combined imply something complicated and often characteristically misunderstood. Generally, we think of these two words when considering large data sets that are too robust for traditional data processing methodologies.
In the recent past, we as an industry sought out the Apache Hadoop framework of tools in order to process Big Data, but this left a gap regarding the analysis. People may ask, “now that I have all of this data stored, what can I do with it?” One of the main reasons for this question is that Big Data today is not just about volume, it is about variety. There are a plethora of structured and unstructured data-sources that contribute to the Big Data story. Now please do not misunderstand what I am saying, Hadoop certainly has a place, especially when considering that some organisations do not require precision analytics. But for those that do, other specific analytic methodologies need to be adopted.
There are two main areas that need to be leveraged to gain value from Big Data, and thankfully at HP we consider both. HP considers both the underpinnings of the Haven Big Data Platform, right through to the implementation of Big Data solutions, allowing us to not only ingest, explore, and analyse but to store, govern and protect data too. This is something only HP can do.
What is under-the-hood?
The Haven Platform offered by HP comprises three engines. In my head, I always consider the Haven Big Data Platform to be analogous to a car with three engines under-the-hood providing power. These three engines are namely, HP IDOL(Intelligent Data Operating Layer), HP Vertica, and Apache Hadoop. We have already spoken about Hadoop, but I have yet to discuss the first two of the above named engines.
HP's Big Data Analytics helps tame and extract value from all forms of information in real-time and at scale to improve efficiency, reduce risk, increase revenue opportunities, and reduce costs. HP IDOL allows you to understand virtually all forms of information analytics including structured and unstructured data.
This includes text, audio, video, and images, to help you to make informed, data-driven decisions. HP IDOL’s real-time monitoring and analysis of information allows you to act quickly to developing trends and sentiment. HP Vertica lets organisations store data cost-effectively, explore it quickly, and leverage well-known SQL-based tools to gain insight. By offering blazingly-fast speed, accuracy and security, HP Vertica offers operational advantages to the entire organisation.
The Big Data Conference (BDC), in Boston on 10 - 13 August 2015, offers three-days of Big Data-focussed activities and engagements. HP Software Education is providing specialised seminars for both HP IDOL and HP Vertica.
The HP IDOL seminars comprise:
- HP IDOL Overview
- Installing Lab Infrastructure
- HP IDOL Configuration
- File System Connector CFS Aggregation
- HP IDOL Admin Tool
- HP IDOL Performance and Best Practices
The HP Vertica seminars comprise:
- Architecture Overview
- Advanced Projection Design
- Management Console
- Resource Management
- Database Designer
- HP Vertica Analytics
- Query Performance Tuning
- Managing an HP Vertica cluster and others.
For HP Vertica, if you wish to validate your advanced skill set you can take our Accredited System Engineer (ASE) Certification, during the conference. HP IDOL training showcases the initial install and configuration right through to performance optimisations, which allows you to get the most out of this advanced analytics engine.
If you wish to understand the latest cutting-edge technologies powering the Big Data platform under-the-hood, then look no further than the HP Software Education subject matter experts showcasing the technology during the meticulously designed sessions at the BDC 2015. Also, please see our list of event speakers, which includes the Big Data guru Nate Silver.
This is the Big Data event of the year – do not miss it!
Dr. James Borderick, Big Data Portfolio Lead, HP Software Education
