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Hadoop Spark Training
Learn Realtime hadoop spark training that will help you to grow in your career
A Curriculum that prepares you to thrive in the Industry.
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COURSE OVERVIEW
Fundamentals of Hadoop and YARN and write applications using them
The following professionals can go for this course:
- System Administrator
- Programming developers
- experienced, graduates, freshers eager to learn Hadoop spark.
you should have basic knowledge about Python and SQL skills.
Course Content
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Introduction to Big Data
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Big Data Technologies and Tools
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Big Data Architecture
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Big Data Processing and Analysis
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Big Data Challenges and Solutions
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5 Vs of Big Data
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Exploding data problem
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Introduction to Python
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Input/Output
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Operators
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Data Types
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Control FLow
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Loops
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Functions
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Python OOP
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Exception Handling
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File Handling
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RDBMS Introduction
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Application of SQL
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Basic SQL queries
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Aggregate functions
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DDL, DML. DCL
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Manipulating Data with SQL
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Transactions and Rollbacks
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Modifying table structure
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Joins
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Subqueries
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Common Table Expressions
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Window functions
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Store Procedures, Functions , Triggers.
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Database Design Principles
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Introduction to MongoDB
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CRUD Operations in MongoDB
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Indexes and Aggregation Framework
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Data Modeling and Schema Design
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Data Management and Replication
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Sharding and Scaling
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Security and Authentication
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Hadoop introduction
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Components of Hadoop ecosystem
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Hadoop architecture
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Hadoop 1.x 2.x 3.x architecture, components and working of those Components
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Design of HDFS
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HDFS architecture
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HDFS features
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Rack awareness
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Start HDFS
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Listing files in HDFS
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Writing a file into HDFS
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Reading data from HDFS
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Shutting down HDFS
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Listing contents of directory
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Displaying and printing disk usage
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Moving files & directories
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Copying files and directories
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Displaying file contents
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What is Hive?
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Hive Vs Relational databases
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Hive architecture
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Different modes of Hive
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HiveQL basics command
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Introduction to data modeling in Hive
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Creating and managing tables in Hive
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Hive partitioning and bucketing
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Hive data types and typecasting
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Data ingestion using Hive
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Advanced HiveQL
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Hive optimization techniques: partitioning, indexing, and compression
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Hive performance tuning and troubleshooting
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Overview of PySpark and its key features
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Understanding Spark Architecture
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Working with RDDs (Resilient Distributed Datasets)
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Basic transformations and actions on RDDs
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Introduction to DataFrames and their benefits over RDDs
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Creating and manipulating DataFrames
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Basic SQL operations in PySpark
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Aggregations and grouping in PySpark
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Joining DataFrames and RDDs
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Handling missing data and null values in PySpark
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Introduction to PySpark Streaming
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Setting up and running PySpark Streaming jobs
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Building real-time data processing pipelines with PySpark Streaming
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Deploying PySpark applications on clusters
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Monitoring and optimizing PySpark performance
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Managing and maintaining PySpark clusters
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What is Kafka and why is it used?
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Kafka architecture and components
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Topics, partitions, and brokers
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Producers, consumers, and consumer groups
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Messages and message formats
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Kafka message guarantees and delivery semantics
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Using the Kafka producer API to write messages
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Understanding producer message batching and partitioning
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Using the Kafka consumer API to read messages
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Consumer group coordination and rebalancing
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Kafka Streams API and architecture
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Stream processing concepts such as windowing, aggregations, and filtering
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Hands-on exercises with Kafka Streams API
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Kafka Connect architecture and components
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Connectors and their use cases
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Setting up and configuring Kafka Connect
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Kafka administration tasks such as managing topics and partitions
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Kafka monitoring and metrics
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Setting up and using Kafka tools like Kafka Manager and Confluent Control Center
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Overview of Airflow and its architecture
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Overview of operators and their types (BashOperator, PythonOperator, etc.)
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DAG Overview
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Writing a simple DAG
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Overview of executors and their types
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Setting up executors in Airflow
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Understanding the differences between executors
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Overview of plugins and their types
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Overview of AWS services and their use cases
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Setting up an AWS account and billing
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Introduction to the AWS Management Console
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Overview of AWS Identity and Access Management (IAM)
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Introduction to Amazon Elastic Compute Cloud (EC2)
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Creating an EC2 instance
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Overview of Amazon Simple Storage Service (S3)
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Creating an S3 bucket and uploading files
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Overview of Amazon Relational Database Service (RDS)
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Creating an RDS instance
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Introduction to AWS Lambda
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Creating a Lambda function
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Overview of AWS CloudWatch
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Creating CloudWatch alarms and monitoring metrics
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Overview of AWS Auto Scaling
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Creating an Auto Scaling group and policies
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Overview of Amazon EMR and Hadoop
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Setting up an EMR cluster and running a Hadoop job
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Overview of Azure cloud platform and its benefits for big data processing
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Understanding Azure services for big data, such as Azure Blob Storage, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure HDInsight
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Introduction to big data concepts and architectures, including Hadoop, Spark, and NoSQL databases
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Introduction to Azure Blob & Azure Data Lake Storage and its benefits for big data processing
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How to use Azure Blob & Azure Data Lake Storage for large-scale data analytics and machine learning
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Best practices for optimizing performance and managing costs in Azure Blob & Azure Data Lake Storage
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Understanding Azure Data Factory and how it can be used for data integration and ETL
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Building data pipelines using Azure Data Factory, including data ingestion, transformation, and loading
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Best practices for monitoring and managing Azure Data Factory pipelines
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Introduction to Azure Databricks and its benefits for big data processing
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Understanding the Apache Spark architecture and how it's used in Azure Databricks
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Best practices for optimizing performance and managing costs in Azure Databricks
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Frequently asked Interview question will cover after end of session.
Classroom Training
Lives interactive sessions delivered in our classroom by our expert trainers with real-time scenarios.
Online Training
Learn from anywhere over internet, joining the live sessions delivered by our expert trainers.
Self-Pace Training
Learn through pre-recorded video sessions delivered by experts with your own pace and timings
For Coporate Training, We provide customized content and delivered by industry experts with complete practical demonstration, discussions and exercises based on practical use cases.
Course Fee
For Students accessing the course from India
Course Fee: ₹39,999
Launch Discount: ₹10,000
Offer Price: ₹29,999*
*Valid for limited period
3 & 6 Months No Cost EMI available on all major Credit Cards.
For Students accessing the course from outside India
Course Fee: $499
Launch Discount: $100
Offer Price: $399*
*Valid for limited period
3 & 6 Months No Cost EMI available on all major Credit Cards.
Get a Certificate
Get Recognised with the Course Completion Certificate
-
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10K+ Zero to career
OUR KEY HIGHLIGHTS
Unique Benefits included in this training
- BEST TRAINER : OCM Certified, 10 Yrs exp and delivered more than 40 batches
- QUALITY CONTENT : More content including advance features covered better in Industry
- BEST PRICE : Affordable and best competitive price in the market
OUR STUDENTS REVIEWS
How learners like you are achieving their goals
It was a wonderful experience for me. Thank you Learnomate Technologies for this great free sql and Linux course
Arya Tandale
Nice teaching. Ankush sir teaches very well and it's easy to understand the topic
Anjali Pingle
Learnomate technology is the best platform to gain and explore knowledge about Oracle DBA. First i saw their video from YouTube and then i enrolled core dba training and after that i also enrolled rac.
Amit Nandi
I recently completed course at learnomate tecnologies and I am thrilled with the experience. The institute offers a wide range of courses tailored to current industry demands.
Jogu Darani
Learnomate Technology is a best training institute, I recommend those who wants to start their career in IT industry for fresher as well as non technical people. Thank you Ankush sir for your support and guidance.
Rahul Kamle
Our Students Work At
Our Alumni work at eminent Big data companies and progressive Startups
FAQ
Have a Question with
Have a Question with
this Course?
Team will provide you meeting details as soon as you make the payment
Every session will be recorded. Recording access will be available for three months
We will do setup on personal laptop. Expecting student to have their personal laptop.
Yes. We do provide the step-by-step document which you can follow and if required our technical team will assist you.
Our Teacher
Source of Inspiration
Ankush Thavali Sir is the best trainer of Oracle DBA. The way of teaching of Ankush sir is great. He is giving real time training . He makes things simple and understandable. He is up to date with advanced IT skills. He spent his past 10 years as Oracle DBA with skills into DBA Support. High Availability Design & Implementations, Technical Solutions, Automation using Scripting, Database Designing & as a Corporate Trainer too. He worked with many MNC's like infosys, cognizant, wipro, LTI & having 10+ Years of experience With deep technical knowledge. Now he is CEO at Learnomate Technologies. Ankush thavali sir has implemented many real time projects on advance Database areas. His certification list includes, The Oracle Certified Associate (OCA). He is an expertise in OS Administrations, Virtualizations/VMWare and Oracle Database 8i/9i/10g/11g & 12c,19c, RAC, Data Guard, ASM, Oracle Exadata, Oracle Performance Tuning, Golden Gate, Oracle Security & many more advance technologies.
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