Big Data / Analytics/ Data Visualization
Big Data involves large, complex datasets requiring advanced processing and analysis. Analytics and Data Visualization convert this data into insights, making trends and patterns easier to understand.
Our Featured Courses
Power BI
At the end of this training course, the participants will: a)
Perform Power BI desktop data transformation
b) Describe
Power BI desktop modelling.
c) Create a Power BI desktop
visualization
d) Implement the Power BI service
e) Describe how
to connect to Excel data
f) Describe how to collaborate with
Power BI data
g) Connect directly to data stores
QlikView
At the end of this training course, the participants will:
a) Data
and BI visualization with QlikView
b) Creating different types of
charts and integrating them in dashboard for analysis
c)How Qlik
reads data from various tables
d) Chart-level and script-level Qlik
functions
e) Developing a real-time project using QlikView
Big Data Hadoop for Developers
This training will introduce participants to the core concepts of Hadoop, HDFS, YARN, TEZ and some big data specific tools like Hive and Pig, Sqoop etc of Hadoop Stack and Spark Core, Spark SQL and Spark Streaming from Spark Stack also covering the Development API techniques. The concepts will be presented in a clear and detailed ways.
Adavnce Hadoop and Map Reduce
This training will Introduce attendees to the core concepts of Hadoop. Deep dive into the critical architecture paths of HDFS, MapReduce,Oozie and HBase. It will explore the concepts of YARN and TEZ in great depth. TEZ is the new engine being utilized in MR, Hive and Pig. It incorporates many novel concepts. It will also explore the depths real time searches in theory and practice with a Real case Study
Tableau
At the end of this training course, the participants will:
a) Master
data sources and datable blending, create data extracts and
organize and format data
b) Become an expert on visualization
techniques such as heat map, tree map, waterfall, Pareto, Gantt
chart and market basket analysis
c) Master Special Field Types
and Tableau Generated Fields and the process of creating and
using parameters
d) Learn how to build interactive dashboards
Apache Casandra
Starting from installing Cassandra and creating your first keyspace, to mastering the different table structures Cassandra offers and exploring the latest and most powerful features of the Cassandra Query Language, CQL3, this Training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, participants will master compound primary keys, collection columns, lightweight transactions, and many other advanced aspects of Cassandra
Spark 2 Internals and performance Tunin
Internals of Spark 2.0 is explored in great detail. Programing paradigm of spark is given due importance. RDDs are compared to Dataframes and Data set. High performance programming patterns are explored with complex problems. For example, how to take advantage of copartition and colocation. Another example is against the grain Spark programming using the powerful Iterator to Iterator Spark Programming. All of this on a proper cluster on cloud. Most importantly how does it interact with other components like Cassandra, HBase, Mongo, Kafka etc
Apache Kafka Flume
Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This training will show how to build and use Kafka Cluster efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it.This course guides you on designing and architecting enterprise-grade streaming applications using Apache Kafka and includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease followed by giving you a thorough explanation as per our project specifications
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