Big Data Training in Lahore
Learn Big Data from Industry ProfessionalsGetting intellectuals ready to become Big Data Experts!
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.
View Course Outline
Reserve Your Seat
Schedule
Starting
14th March 2020
Duration
7 weeks (weekends)
Timings
10:00AM to 06:00PM
Address
Management House, 95 J/1, Johar Town, Lahore
Meet the Instructors
Meet the trainers of this course who are Big Data experts & are highly experienced!
Course Outline
Week 1
| 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,
NoSQL Databases) |
| What is Hadoop & its History? |
| Apache Hadoop Stack |
| Introduction to Hortonworks, Cloudera & MapR
(Their Differences) |
| Basics of Flume, Sqoop, Zookeeper, Ozie, HBase, Mahout,
Hive, Pig |
| Hadoop Cluster (Master Node, Data Node, Namenode,
Job Tracker, Task Tracker) |
| Hortonworks Sandbox Installation |
| HDFS |
| HDFS Working |
| HDFS Block Size |
| HDFS Replication Factor |
| HDFS Read |
| HDFS Write |
| HDFS Pipeline Writing |
Week 2
| Parallel Processing Basics |
| Map & Reduce |
| Hortonworks Configuration & Overview |
| Hortonworks HDFS Ingestion Lab |
| HDFS Commands |
| HDFS Data Ingestion Lab |
| Map Reduce Implementation |
| Hive |
| 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 Views |
| Hive use for XML |
| Hive Supported File Format |
| Hive Data Model |
| Block Compression |
| Storage Formats in Hive |
Week 3
| Hadoop 1.0 VS Hadoop 2.0 |
| YARN Architecture |
| YARN Resource Manager |
| YARN Node Manager |
| YARN Application Manager |
| YARN High Availability |
| YARN Request Model |
| YARN Schedulers |
| YARN Performance Gauging |
| YARN Performance Measuring |
| YARN System Health |
| Resource Allocation in YARN |
| Hortonworks Yarn Lab |
| Containers Concept in Hadoop |
| Tez Framework |
| Tez DAG |
Week 4
| PIG |
| PIG VS Hive |
| PIG Architecture |
| PIG-Latin |
| Grunt Shell & PIG Scripting |
| PIG Commands |
| Loading Data in PIG |
| PIG Filter |
| PIG Joins |
| Debugging Using PIG |
| PIG Execution Modes |
| PIG Execution Mechanism |
| HCatalog |
| Sqoop |
| Sqoop Architecture |
| Sqoop Execution Modes |
| Sqoop Lap |
| Lambda & Kapka Architecture & their Applications |
Week 5
| Why Apache Spark |
| Spark Driver |
| Spark Context |
| Spark Executors |
| Working with RDD |
| Spark Transformations (Map, Flatmap,
Filter, Distinct) |
| Spark Actions (Collect, First, Take, Count,
Reduce, Save-as-text) |
| Transformations VS Actions |
| Lazy Execution |
Week 6
| What is Spark Streaming |
| What is Spark SQL |
| Spark Lab |
| Loading Text File in Spark |
| Loading csv in Spark |
| Loading XML in Spark |
| Loading JSON in Spark |
| Introduction to Kafka |
| Basics of Kafka |
Week 7
| Project & Test |
| Self-learning Path Guidance |
Tools
Pricing
Following is price for this extensive training on Big Data
Individual
Price for an Individual Member
Rs
30,000
per person
Group of Two
7% Discount for a group of two people
Rs
27,900
per person
Group of Three
10% Discount for a group of Three people
Rs
27,000
per person
Group of Four
15% Discount for a group of Four people
Rs
25,500
per person
Frequently Asked Questions
Who should attend the course?
- Recent graduates, third year and final year students from the computer science disciplines.
- Professionals from the computer science domain who want to shift the profession to Big Data Analytics.
- Executives who want to build the initial knowledge about the impact of the Big Data ecosystem on organization growth.
Who are the Instructors?
What is the timing of the course?
Duration: 7 weeks
Class Days: Saturdays only
Timings: 10:00 AM to 06:00 PM
Can I get a job after this course?
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.
How much hands-on will be performed in this course?
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.
What are the PC requirements?
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.
Will I get a certificate after this course?
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.
Reserve your Seat
You can reserve your seat by filling the form below!