Introduction to Big Data

Transcription

1 Introduction to Big Data

2 OVERVIEW We are experiencing transformational changes in the computing arena. Data is doubling every 12 to 18 months, accelerating the pace of innovation and time-to-value. The vast majority of today s data growth is driven by the creation of human-friendly information such as documents, social content, video, audio, and images. Data growth is also accelerated by the ubiquity of mobile devices, which gives us always on applications and users who demand anytime, anywhere access to information. Business leaders depend on all types of data to keep their business working to its full potential, and IT professionals trained in big data technologies are critical to their operations. This program provides a foundational understanding of Big Data and a detailed review of HPE s industry leading IDOL search technology. INTENDED AUDIENCE Software Developers DURATION 72 Hours Graduates looking to start a career in Big Data Analytics Data Management Data Science Business Intelligence PREREQUISITES Basic OS (Linux) knowledge Any basic programming skill and/or familiarity with programming logic Course Objectives After completing this course, you should be able to: Understand the importance of Big Data in today s business environment Understand key Big Data components currently used in Enterprises Understand, load, process and extract structured and unstructured data Simplify Big Data processing Understand fundamentals of the powerful and versatile HP IDOL platform and lays a firm foundation for the development of your IDOL knowledge

3 Course Outlines Big Data Foundations This course introduces the students to Big Data, how it contributes to company value worldwide, and shows application of skills in the field giving students a full picture of the role of big data in today s technology market. The discussions will include real-life case studies, where organizations have leveraged Big Data for competitive advantage. This course provides an overview of many of the most popular big data solutions. 32 Hours Introduction to Big Data Hadoop Architecture Hadoop Deployment MapReduce and advanced HDFS Pig Hive Hbase

4 Page 4 HPE IDOL Learn about the next-generation data analytics platform that enables you to analyze unstructured data from virtually any source, any format, and any location, with speed, security, and scale. IDOL uses its patented pattern-matching technology to provide a leading search and data analytics solution. You can access virtually all information, regardless of source repository or language, and perform sophisticated content analytics to make sense of data. 40 Hours HPE IDOL overview Installing the Lab infrastructure HPE IDOL configuration File system connector CFS aggregation Web crawling using HTTP connector Manual indexing Indexing native XML Retrieval Action commands autonomy syntax Customizing the result fields Using HPE IDOL s Retina web application Backing up HPE IDOL Exporting an HPE 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 Monitoring & Reporting IDOL admin tool Distributed handlers Performance and best practice

5 Page 5 The HPE Software University difference HPE Software University is a global program designed by Hewlett Packard Enterprise solution experts in the U.S. specifically to meet the needs of our international student community. Benefits to consider: Proven: The software education program has been successfully delivered in India, Malaysia, and the Philippines to over 15,000 students over the last two y ears. This proven program is helping students earn the skills to succeed in industry and opening the door to new opportunities. Certified instructors: All instructors are Hewlett Packard Enterprise certified in their subject areas so students will be learning from people at the top of their field. Quality: Hewlett Packard Enterprise courseware developer, who works directly with HPE R&D and software development, has developed the learning materials. These materials are exclusive to HPE Software University, and are continually updated so to reflect the latest developments in the fast-moving technology for testing, mobility, and Big Data. HPE hardware and software: Students are provided a modern lab environment that enhances the learning experience. Industry-leading solutions: Implements a nearly continuous improvement process to help optimize system information over the long-term, enable better decision-making, and derive more value from your content. Worldwide delivery partners: Located across the world to deliver professional and high-quality instruction in your region. About HPE Software Education HPE Software Education gives our customers the power to make the most of their software investment. We provide comprehensive software trainings spanning across our entire software portfolio including IT operations management (ITOM), ALM, Big Data, and security, as well as a variety of business curriculums around transformations such as DevOps and IT4IT. We invest in research and development of training materials and teaching methodologies. Our curriculums are prepared by HPEcertified experts who have years of industry experience. The curriculums are designed to cover real-time case scenarios and exercises that meet the training needs at all levels from novice to an expert. The academic software education programs for universities and colleges are the newest offerings from HPE Software Education. We leverage our industry content in these classes so students are industry ready on successful completion.

6 About Hewlett Packard Enterprise Hewlett Packard Enterprise is an industry-leading technology company that enables customers to go further, faster. With the industry s most comprehensive portfolio, spanning the cloud to data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive, and more secure. More information about HPE (NYSE:HPE) is available at hpe.com. Learn more at hpe.com/software/university hpe.com/software/education hpe.com/blog/education hpe.com/bigdata twitter.com/hpe_bigdata twitter.com/hpe_education Sign up for updates Rate this document Copyright 2015 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein. Google is a registered trademark of Google Inc. Java is a registered trademark of Oracle and/or its affiliates. IT4IT is a registered trademark of The Open Group. December 2015 revised May 2016