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Hadoop Developer / Analyst / SPARK + SCALA / Hadoop (Java + Non- Java) Track
HADOOP DEV + SPARK & SCALA + NoSQL + Splunk + HDFS (Storage) + YARN (Hadoop Processing Framework) + MapReduce using Java (Processing Data) + Apache Hive + Apache Pig + HBASE (Real NoSQL ) + Sqoop + Flume + Oozie + Kafka With ZooKeeper + Cassandra + MongoDB + Apache Splunk
Best Bigdata Hadoop Training with 2 Real-time Projects with 1 TB Data set
Solution for BigData Problem Open Source Technology Based on open source platforms Contains several tool for entire ETL data processing Framework It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
HADOOP DEV + SPARK & SCALA + NoSQL + Splunk + HDFS (Storage) + YARN (Hadoop Processing Framework) + MapReduce using Java (Processing Data) + Apache Hive + Apache Pig + HBASE (Real NoSQL ) + Sqoop + Flume + Oozie + Kafka With ZooKeeper + Cassandra + MongoDB + Apache Splunk
Hadoop
Why we need Hadoop
Data centers and Hadoop Cluster overview
Overview of Hadoop Daemons
Hadoop Cluster and Racks
Learning Linux required for Hadoop
Hadoop ecosystem tools overview
Understanding the Hadoop configurations and Installation.
HDFS (Storage)
HDFS
HDFS Daemons – Namenode, Datanode, Secondary Namenode
Hadoop FS and Processing Environment’s UIs
Fault Tolerant
High Availability
Block Replication
How to read and write files
Hadoop FS shell commands
YARN (Hadoop Processing Framework)
YARN
YARN Daemons – Resource Manager, NodeManager etc.
Job assignment & Execution flow
MapReduce using Java (Processing Data)
The introduction of MapReduce.
MapReduce Architecture
Data flow in MapReduce
Understand Difference Between Block and InputSplit
Role of RecordReader
Basic Configuration of MapReduce
MapReduce life cycle
How MapReduce Works
Writing and Executing the Basic MapReduce Program using Java
Submission & Initialization of MapReduce Job.
File Input/Output Formats in MapReduce Jobs
Text Input Format
Key Value Input Format
Sequence File Input Format
NLine Input Format
Joins
Map-side Joins
Reducer-side Joins
Word Count Example(or) Election Vote Count
Will cover five to Ten Map Reduce Examples with real time data.
Apache Hive
Data warehouse basics
OLTP vs OLAP Concepts
Hive
Hive Architecture
Metastore DB and Metastore Service
Hive Query Language (HQL)
Managed and External Tables
Partitioning & Bucketing
Query Optimization
Hiveserver2 (Thrift server)
JDBC , ODBC connection to Hive
Hive Transactions
Hive UDFs
Working with Avro Schema and AVRO file format
Hands on Multiple Real Time datasets.
Apache Pig
Apache Pig
Advantage of Pig over MapReduce
Pig Latin (Scripting language for Pig)
Schema and Schema-less data in Pig
Structured , Semi-Structure data processing in Pig
Pig UDFs
HCatalog
Pig vs Hive Use case
Hands On Two more examples daily use case data analysis in google. And Analysis on Date time dataset
HBASE (Real NoSQL)
Introduction to HBASE
Basic Configurations of HBASE
Fundamentals of HBase
What is NoSQL?
HBase Data Model
Table and Row.
Column Family and Column Qualifier.
Cell and its Versioning
Categories of NoSQL Data Bases
Key-Value Database
Document Database
Column Family Database
HBASE Architecture
HMaster
Region Servers
Regions
MemStore
Store
SQL vs. NOSQL
How HBASE is differed from RDBMS
HDFS vs. HBase
Client-side buffering or bulk uploads
HBase Designing Tables
HBase Operations
Get
Scan
Put
Delete
Live Dataset
Sqoop
Sqoop commands
Sqoop practical implementation
Importing data to HDFS
Importing data to Hive
Exporting data to RDBMS
Sqoop connectors
Flume
Flume commands
Configuration of Source, Channel and Sink
Fan-out flume agents
How to load data in Hadoop that is coming from web server or other storage
How to load streaming data from Twitter data in HDFS using Hadoop
Oozie
Oozie
Action Node and Control Flow node
Designing workflow jobs
How to schedule jobs using Oozie
How to schedule jobs which are time based
Oozie Conf file
Scala
Scala
Syntax formation, Datatypes , Variables
Classes and Objects
Basic Types and Operations
Functional Objects
Built-in Control Structures
Functions and Closures
Composition and Inheritance
Scala’s Hierarchy
Traits
Packages and Imports
Working with Lists, Collections
Abstract Members
Implicit Conversions and Parameters
For Expressions Revisited
The Scala Collections API
Extractors
Modular Programming Using Objects
Spark
Spark
Architecture and Spark APIs
Spark components
Spark master
Driver
Executor
Worker
Significance of Spark context
Concept of Resilient distributed datasets (RDDs)
Properties of RDD
Creating RDDs
Transformations in RDD
Actions in RDD
Saving data through RDD
Key-value pair RDD
Invoking Spark shell
Loading a file in shell
Performing some basic operations on files in Spark shell
Spark application overview
Job scheduling process
DAG scheduler
RDD graph and lineage
Life cycle of spark application
How to choose between the different persistence levels for caching RDDs
Submit in cluster mode
Web UI – application monitoring
Important spark configuration properties
Spark SQL overview
Spark SQL demo
SchemaRDD and data frames
Joining, Filtering and Sorting Dataset
Spark SQL example program demo and code walk through
Kafka With ZooKeeper
What is Kafka
Cluster architecture With Hands On
Basic operation
Integration with spark
Integration with Camel
Additional Configuration
Security and Authentication
Apache Kafka With Spring Boot Integration
Running
Usecase
Apache Splunk
Introduction & Installing Splunk
Play with Data and Feed the Data
Searching & Reporting
Visualizing Your Data
Advanced Splunk Concepts
Cassandra + MongoDB
Introduction of NoSQL
What is NOSQL & N0-SQL Data Types
System Setup Process
MongoDB Introduction
MongoDB Installation
DataBase Creation in MongoDB
ACID and CAP Theorum
What is JSON and what all are JSON Features?
JSON and XML Difference
CRUD Operations – Create , Read, Update, Delete
Cassandra Introduction
Cassandra – Different Data Supports
Cassandra – Architecture in Detail
Cassandra’s SPOF & Replication Factor
Cassandra – Installation & Different Data Types
Database Creation in Cassandra
Tables Creation in Cassandra
Cassandra Database and Table Schema and Data
Update, Delete, Insert Data in Cassandra Table
Insert Data From File in Cassandra Table
Add & Delete Columns in Cassandra Table
Cassandra Collections
Audience for this course
IT folks who want to change their profile in a most demanding technology which is in demand by almost all clients in all domains because of below mentioned reasons-
+91 8882400500
I had undergone oracle DBA course under Chetan sir's Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand, overall I had a great time for around 2 months, they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again
I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.
Linux learning with Anand sir is truly different experience... I don't have any idea about Linux and system but Anand sir taught with scratch...He has a great knowledge and the best trainer...he can solve all your queries related to Linux in very simple way and giving nice examples... 100 to Anand Sir.
I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that's the most important thing because honestly theoretical knowledge cannot land you a job.
I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir's course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.
1. Basic user account management (creating, modifying, and deleting users).
2. Password resets and account unlocks.
3. Basic file system navigation and management (creating, deleting, and modifying files and directories).
4. Basic troubleshooting of network connectivity issues.
5. Basic software installation and package management (installing and updating software packages).
6. Viewing system logs and checking for errors or warnings.
7. Running basic system health checks (CPU, memory, disk space).
8. Restarting services or daemons.
9. Monitoring system performance using basic tools (top, df, free).
10. Running basic commands to gather system information (uname, hostname, ifconfig).
1. Intermediate user account management (setting permissions, managing groups).
2. Configuring network interfaces and troubleshooting network connectivity issues.
3. Managing file system permissions and access control lists (ACLs).
4. Performing backups and restores of files and directories.
5. Installing and configuring system monitoring tools (Nagios, Zabbix).
6. Analyzing system logs for troubleshooting purposes.
7. Configuring and managing software repositories.
8. Configuring and managing system services (systemd, init.d).
9. Performing system updates and patch management.
10. Monitoring and managing system resources (CPU, memory, disk I/O).
1. Advanced user account management (LDAP integration, single sign-on).
2. Configuring and managing network services (DNS, DHCP, LDAP).
3. Configuring and managing storage solutions (RAID, LVM, NFS).
4. Implementing and managing security policies (firewall rules, SELinux).
5. Implementing and managing system backups and disaster recovery plans.
6. Configuring and managing virtualization platforms (KVM, VMware).
7. Performance tuning and optimization of system resources.
8. Implementing and managing high availability solutions (clustering, load balancing).
9. Automating system administration tasks using scripting (Bash, Python).
10. Managing system configurations using configuration management tools (Ansible, Puppet).
1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.
1. Advanced scripting and automation techniques (error handling, loops).
2. Understanding advanced networking concepts (VLANs, subnetting).
3. Familiarizing with advanced storage technologies (SAN, NAS).
4. Learning advanced security concepts and techniques (encryption, PKI).
5. Understanding advanced system performance tuning techniques.
6. Learning advanced troubleshooting methodologies (root cause analysis).
7. Implementing and managing virtualization and cloud technologies.
8. Configuring and managing advanced network services (VPN, IDS/IPS).
9. Implementing and managing containerization technologies (Docker, Kubernetes).
10. Understanding enterprise-level IT governance and compliance requirements.
1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.
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(Our Team will call you to discuss the Fees)
(Our Team will call you to discuss the Fees)