During the Seven (7) weeks of the course, you will learn about the different ingredients of Big Data such as Hadoop, Spark, Pig, Hive, Sqoop etc.
In the subsequent weekly distribution of the course, participants will have hands-on experience on different pillars of the Big Data Ecosystem starting from parallel processing frameworks like Map Reduce & Spark, Distributed Storage techniques like HDFS, Big Data Administration Ambari etc.
At the end of the course candidates will have in-depth understanding & hands-on related to Big Data solutions like Cloudera & Horton works.
7 Weeks (Saturdays only)
10:00AM to 06:00PM
Management House, 95 J/1, Johar Town, Lahore
Meet the trainers of this course who are Big Data experts & are highly experienced!
|What is Big Data?|
|Big Data Era|
|Big Data- Data Sources|
|4 V’s of Big Data|
|Conventional Data Warehouse Architecture|
|Modern Data Warehouse Architecture|
|What is Data Discovery?|
|Distributed Computing & its Advantage|
|Big Data Processing Frameworks (Hadoop, Apache Spark,
|What is Hadoop & its History?|
|Apache Hadoop Stack|
|Introduction to Hortonworks, Cloudera & MapR
|Basics of Flume, Sqoop, Zookeeper, Ozie, HBase, Mahout,
|Hadoop Cluster (Master Node, Data Node, Namenode,
Job Tracker, Task Tracker)
|Hortonworks Sandbox Installation|
|HDFS Block Size|
|HDFS Replication Factor|
|HDFS Pipeline Writing|
|Parallel Processing Basics|
|Map & Reduce|
|Hortonworks Configuration & Overview|
|Hortonworks HDFS Ingestion Lab|
|HDFS Data Ingestion Lab|
|Map Reduce Implementation|
|Hive Alignment with SQL|
|Hive Query Process|
|Hive Data Loading|
|Hive Managed Tables|
|Hive External Tables|
|Hive Table Location|
|Hive Bucketing & Partitioning|
|Hortonworks Hive Lab|
|Hive use for XML|
|Hive Supported File Format|
|Hive Data Model|
|Storage Formats in Hive|
|Hadoop 1.0 VS Hadoop 2.0|
|YARN Resource Manager|
|YARN Node Manager|
|YARN Application Manager|
|YARN High Availability|
|YARN Request Model|
|YARN Performance Gauging|
|YARN Performance Measuring|
|YARN System Health|
|Resource Allocation in YARN|
|Hortonworks Yarn Lab|
|Containers Concept in Hadoop|
|PIG VS Hive|
|Grunt Shell & PIG Scripting|
|Loading Data in PIG|
|Debugging Using PIG|
|PIG Execution Modes|
|PIG Execution Mechanism|
|Sqoop Execution Modes|
|Lambda & Kapka Architecture & their Applications|
|Why Apache Spark|
|Working with RDD|
|Spark Transformations (Map, Flatmap,
|Spark Actions (Collect, First, Take, Count,
|Transformations VS Actions|
|What is Spark Streaming|
|What is Spark SQL|
|Loading Text File in Spark|
|Loading csv in Spark|
|Loading XML in Spark|
|Loading JSON in Spark|
|Introduction to Kafka|
|Basics of Kafka|
|Project & Test|
|Self-learning Path Guidance|
Following is fee structure for this extensive training on Big Data
The One and Only
The only Institute in the market so far known who is offering training of Telecom Technologies (IT).
Good place to start your career as a data Scientist.
Very professional approach of conducting courses as well as overall management.
An Absolute Organization
An absolute organisation for those who are interested in Data Analytics.
Best teachers. Great content. Amazing experience.
It's a good opportunity for people who want to learn new skills. Teachers are good and they provide you hands-on experience.
Right Place to Learn
Awesome course! You prepare people to carry out skills in the real world. Very well organized and conceived.
Dice provide you practical experience. I have learnt a lot about EDW topics. Best Experience ever.
Life changing Experience
Its a life changing experience here at dice... join to be part of the new era of computer science.
Best opportunity for students & professionals to learn Data Science. Dice also help you seek a better career decision.
Learnt from professionals!
Best thing about Dice is you get to learn from professionals, who are dedicated to train you. I recommend DWH course to everyone.
Duration: 7 weeks
Class Days: Saturday only
Timings: 10:00 AM to 06:00 PM
Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.
Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.
For Big Data Professional course, you need to have Minimum Core i3 PC, 4th Generation with 12GB RAM and ideally Core i7, 5th Generation with 16GB RAM.
Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.
You can reserve your seat by filling the form below!