Overview: Big Data is an industry meme that is gaining traction and cannot be ignored if you wish to continue pursuing a data management career. But what is Big Data? Does it differ greatly from Oracle, SQL Server, DB2, and other relational database systems? And if so, how? This session will provide a roadmap to Big Data terminology, use cases, and technology. Attend this session to wade through the hype and start your journey toward discovering what Big Data is, and what it can do for you and your company.
Why should you attend: Big Data and analytics is the current trend in database management systems and data processing. The requirements, methods, and practices for managing big data differ from traditional database management best practices and today's professional can be left in the dust without an understanding and appreciation for the new techniques, methods, and systems being deployed for big data analytics. Although the term Big Data seems straightforward enough it means more than just having a lot of data. You need to know how it contrasts with traditional DBMS. You need to know the use cases for Big Data applications. You need to know the new technology being used to store and manage the data… and to glean insight from the data. And you need to understand how to differentiate the database administration and development practices for relational databases from the NoSQL, Big Data systems that are increasingly being used for Big Data implementations. Failure to keep up with the new can render your skills obsolete in the new age of Big Data.
Areas Covered in the Session:
Who Will Benefit:
Why should you attend: Big Data and analytics is the current trend in database management systems and data processing. The requirements, methods, and practices for managing big data differ from traditional database management best practices and today's professional can be left in the dust without an understanding and appreciation for the new techniques, methods, and systems being deployed for big data analytics. Although the term Big Data seems straightforward enough it means more than just having a lot of data. You need to know how it contrasts with traditional DBMS. You need to know the use cases for Big Data applications. You need to know the new technology being used to store and manage the data… and to glean insight from the data. And you need to understand how to differentiate the database administration and development practices for relational databases from the NoSQL, Big Data systems that are increasingly being used for Big Data implementations. Failure to keep up with the new can render your skills obsolete in the new age of Big Data.
Areas Covered in the Session:
- Gain a working knowledge and definition of Big Data (beyond the simple three V's definition)
- Break down and understand the often confusing terminology within the realm of Big Data (e.g. polyglot persistence)
- Examine the four predominant NoSQL database systems used in Big Data implementations (graph, key/value, column, and document)
- Learn some of the major differences between Big Data/NoSQL implementations vis-a-vis traditional transaction processing
- Discover the primary use cases for Big Data and NoSQL versus relational databases
Who Will Benefit:
- DBA
- DBA Manager
- Programmer/analyst
- IT Architect
- Data analyst
is president and principal consultant of Mullins Consulting, Inc., a principal with SoftwareOnZ (a mainframe software distributor), and the publisher/editor for TheDatabaseSite.com.
Craig has over three decades of experience in all facets of database systems development and has worked with DB2 since V1. You may know Craig from his popular books: "DB2 Developer's Guide, 6th edition," which contains more than 1500 pages of in-depth technical information on DB2 for z/OS and "Database Administration: The Complete Guide to DBA Practices and Procedures, 2nd edition," the industry's only comprehensive guide to heterogeneous database administration.
Craig has over three decades of experience in all facets of database systems development and has worked with DB2 since V1. You may know Craig from his popular books: "DB2 Developer's Guide, 6th edition," which contains more than 1500 pages of in-depth technical information on DB2 for z/OS and "Database Administration: The Complete Guide to DBA Practices and Procedures, 2nd edition," the industry's only comprehensive guide to heterogeneous database administration.
No comments:
Post a Comment