This course provides Java programmers a deep-dive into Hadoop application development. Participants will learn how to design and develop MapReduce applications for Hadoop and manipulate, analyze and perform computations on their Big Data.
The Cassandra NoSQL database is one of the most powerful and widely used non-relational databases available today. It is a fault tolerant, highly scalable database with tunable consistency that meets the demanding requirements of the "can't fail, must scale" systems driving growth for many of the most successful enterprises of today. However, along with that capability comes a new data and programming model that many organizations lack the expertise to use in an optimal fashion. This course provides a technical introduction to all the conceptual and practical areas needed to use Cassandra successfully. It is written expressly for the new capabilities in version 2.0, including CQL3.1. The course provides a solid foundation in the architecture and data model of Cassandra and how to work with it. It covers CQL3 in detail, as well as important data modeling techniques to optimize your usage of the database. After taking this course, you will be ready to work with Cassandra in an informed and productive manner, including using CQL3.
This course provides an introduction to Big Data as well as NoSQL (Not Only SQL) database systems. The fundamental concepts of and ideas behind Big Data / NoSQL technologies are methodically explored and many buzzwords demystified. The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the subject.
The NoSQL (Not Only SQL) persistence systems space offers a great variety of solutions that may be overwhelming. This class aims at helping the attendees understand the challenges of the emerging world of Big Data as well as identify suitable use cases for a variety of NoSQL systems such as Pig, Hive, HBase, Cassandra and MongoDB. The attendees will also be given some underlying architecture details of those NoSQL systems to enable them make informed decisions about using NoSQL systems when they return to work.
This intensive training course provides theoretical and technical aspects of Data Science and Business Analytics. The course covers the fundamental and advanced concepts and methods of deriving business insights from raw data using cost-effective data processing solutions. The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.
This one day primer introduces Cloud Computing, Big Data, and the emerging discipline of Data Analytics. Attention will be given to the three V’s of Big Data: Volume, Velocity, and Variety as well as the fourth V of Value. You’ll learn about these critical elements and the powerful value proposition that these capabilities provide. What are the processes, tools, and personnel that will be needed in order to take advantage of this sea change in information management? This essential course will equip you to understand your customers better and how to deliver more value today.
This intensive training course provides theoretical and technical aspects of Data Science and Business Analytics. The course covers the fundamental and advanced concepts and methods of deriving business insights from Big Data. The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.
This course is about Big Data and the current technologies including Hadoop, MapReduce, NoSQL Data Stores including Hbase, Cassandra and MongoDB. Through lecture and demonstrations, we explore the current Big Data methods for capturing, analyzing with the R language and integrating with existing database systems.