AWS Data Engineering Key Highlights
Overview of AWS Data Engineering Training in Chennai
You become familiar with the AWS platform’s features, such as AWS Big Data storage, machine learning techniques, Kinesis analytics, cloud technology processes, and other tools, through this AWS Big Data certification course in Chennai. Through real-world projects and case studies, the complete course will help you obtain comprehensive knowledge and abilities on AWS.
What is AWS Data Engineering?
Data engineering is the practice of developing large-scale data collection, storage, and analysis systems. It covers a wide range of topics and has uses in almost every business.
AWS Data Engineering focuses on overseeing several AWS services so that customers can receive an integrated solution that meets their needs. An AWS Engineer examines the customer’s requirements, their data’s quantity and quality, and the outcomes of their activities. For customers to use them and perform at their best, they also choose the greatest equipment and services.
What does an AWS Data Engineer do?
Data engineers create systems that gather, handle and transform unprocessed data into information that data scientists and business analysts may use to evaluate it in several contexts. Their ultimate objective is to open up data so that businesses can utilize it to assess and improve their performance.
How to become a Data Engineer?
You can start or enhance your career in data engineering with the appropriate skills and knowledge. A bachelor’s degree in computer science or a closely related subject is common among data engineers. You may lay the groundwork for the information you’ll need in this rapidly changing sector by acquiring a degree. For the chance to expand your career and open doors to opportunities with possibly greater salaries, think about getting a master’s degree.
What are the Skills required to become a Data Engineer?
As data generation rates rise, there is a growing need for specialists in AWS Data Engineering and Data Analytics. There is a dearth of Certified Data Analytics Engineers, according to numerous polls and reports. AWS Certified Data Analytics and Certified Data Engineering with a real, hands-on cloud platform are required for this career.
The points listed below should be your main areas of attention to become an AWS Certified Data Analytics and Data Engineer, expert:
• To choose the best storage tool based on needs, be aware of the key distinctions and use cases between various storage services offered by AWS.
• Practice manually moving data between Amazon Redshift clusters and Amazon S3 with real-world examples.
• Learn how to query data from various tables in the data lake and data warehouse.
• Learn the AWS tools and the Data Integration process.
• QuickSight for analytics and BI dashboards, AWS Glue for ETL, and AWS Athena for storage querying.
• AWS Data Engineering knowledge can also be increased by studying the documentation, taking classes, and practicing more.
Why should I choose AWS Big Data at BTree Systems?
AWS training is provided by certified AWS cloud professionals at BTree Systems with more than 12 years of experience in the planning, design, and scalability of AWS applications. AWS Big Data training in Chennai provides substantial instruction with a variety of tools, including Sqoop, Hive, Scala, and Spark, which may be developed using Python, an exceptionally popular language in the industry.
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AWS Data Engineering Career Transition
60%
Avg Salary Hike
40 LPA
Highest Salary
500+
Career Transitions
300+
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I’m very excited to share my experience at btree systems I’m a data analyst so I want to change my domain to AWS Data Engineering. I enrol an AWS data engineer course at btree and the trainers are very supportive, they use real-world projects.
Abi
Data Engineer
Software Engineer
Data Engineer
I work as a data scientist in a reputed company but I wanna change my career to the cloud, I recently see btree Instagram reels and reviews which impressed me, so I enrol my AWS data engineering course at btree systems.
Saravanan
Data Scientist
Cloud Engineer
Data Scientist
I’m a data engineer I know about the cloud but not in-depth so I join btree systems for the AWS data engineering course. The course is a great and affordable fee, and all sessions are clarified by the trainers.
Prashanth
Data Engineer
Software Engineer
Data Engineer
AWS Data Engineering Skills Covered
AWS Athena
AWS S3
AWS IAM
Redshift
AWS Glue
AWS HDFS
AWS EMR
AWSHive
Sqoop and Oozie
Kafka
Snowflake
AWS Flink
AWS Data Engineering Course Fees
19
Aug
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
26
Aug
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
02
Sep
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
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₹ 3,000 / Months
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Months EMI
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Curriculum for AWS Data Engineering Certification Course
Big Data Software Installation in Windows & Mac & Ubunth
- IntelliJ
- Pycharm
- Anaconda
- Hadoop 2.7.2
- Spark 2.4.8
- Kafka 2.4.0
- Git
- Sbt
- Sql-workbench
- Java 8
- Scala 2.11.12
- Putty
- WinSCP
Introduction to Big Data and Hadoop
- What is Bigdata?
- What is Hadoop
- What is Spark
- What is Nosql databases
- Difference between Hadoop, Spark
- Common Bigdata problems
- Hadoop Ecosystem
Scala basics
- What is JVM
- JVM languages
- What is Java
- What is Scala
- Java Vs Scala
- Scala Vs Python
- Java Datatypes Vs Scala Datatypes
- Class Vs Objects
- Sbt vs Maven
- Functions Vs Methods
- Scala type hierarchy
- IntelliJ sample Scala programs
Scala Important Concepts
- If else expression
- While
- For loop
- For - Yield importance
- Case class importance
- Array Vs List
- Tuple Vs Set
Scala Functions
- Create Sample Scala Functions
- Anonymous Functions
- Recursive function
- Nested functions
- Higher order functions
- Map
- Filter
- Flatten
- Flatmap
- Foreach
- Zip
- Find
- drop Vs dropWhile
- foldRight Vs foldLeft
AWS Introduction EC2
- Create Windows/mac/Linux servers
- Create a sample website
- Autoscaling
- image
Athena
- What is serverless computing?
- Athena process json, csv data
- Recommended approaches
S3
- store data,
- Client mode submit s3 commands.
- Get data from various sources and store
- S3 bucket Policies
IAM(Identity and Access management)
- Users
- Groups
- Roles
- Custome policies
RedShift
- Load data from S3 process data
- Sortkey, Distkey power
- Redshift architecture
- Get data from various sources
Glue
- How to process csv, json data using Glue
- Get Athena data using glue
- Crawler, Job execute Pyspark and Scala spark
- Glue architecture/internals
- Advanced concepts & best practice
RDS
- Create different databases
- create sample tables and process
- best practice/low cost
- Practice oracle MySQL using rds.
EMR
- Practice Py-spark, hive,
- Create EMR (Elastic Map Reduce) cluster and process
- EMR vs EC2
- Hive internals sample programs
- Sqoop import data from RDS store in s3
Hadoop Ecosystem HDFS
- What is HDFS?
- Hadoop architecture
- How HDFS replicate data
- Limitations in Hadoop
YARN
- Namenode Importance
- Datanode responsibilities
- Secondary namenode
- High Availability
- Hdfs commands Handson
- Hadoop 1.x Vs 2.x Vs 3.x
- Daemons in Yarn
- Node manager
- Application master
- Resource Manager
- Yarn Commands
- How Yarn allocates resources
- Container
- How spark /Mapreduce running in Yarn
Hive
- Hive architecture
- Sql Vs HQL
- How to process CSV data
- How to process Json data
- Serdes
- Partition
- Bucketing
- Orc vs Parquet importance
- Limitation in Hive
Sqoop
- Sqoop architecture
- Import data from Oracle
- Import data from MySQL
- Import data from MsSql data
- Shell script importance in Sqoop
- Import data to Hive
- Compression techniques (parquet, sequence, Avro)
- Best practice
Oozie
- Oozie architecture
- Workflow importance in oozie
- Job.properties importance in oozie
- Coordinator importance in oozie
- Multiple actions in workflow
- How to automate Sqoop & Hive applications using Oozie
NOSQL Database introduction
- What is NOSQL?
- Cap Theorem
- Cassandra
- Cassasndra Architecture
- Cassandra installation in EMR
- Keyspace & tables
- Cassandra Limitation
- Hbase
- Hbase Architecture
- Hbase commands
- Hbase limitations
- Phoenix
- Phoenix Architecture
- Process different type data
Apache Spark Training Spark Core
- Why Spark why not Hadoop?
- HDFS/Yarn importance in Spark
- Spark architecture
- Different types of APIs
- RDD (Resilient Distributed Dataset)
- Dataframe
- Dataset
- Where your using Spark?
- Why spark faster than MapReduce?
- Why /How spark process in Memory?
- Why MapReduce Slow?
RDD Internals
- Immutability
- Laziness
- Fault tolerance
- SparkContext, SqlContext, SparkSession Internals
- Create RDD different ways
- Transformations
- Action
- Commonly used transformations & Actions
- Narrow transformations
- Wide transformations
- Debugging transformations
- Spark web UI
RDD Internals
- Map
- FlatMap
- Filter
- Distinct
- ReduceByKey Vs GroupByKey
- SortBy
- Other Transformations & Actions
- Spark-submit
- Minimum 20 RDD use case programs
Spark SQL
- Dataframe
- Convert RDD to Dataframe
- Python Dataframe
- Spark dataframe Introduction
- Dataframe reader
- Dataframe Vs dataset
- Process different type data
- CSV
- Json (complex)
- XML
- Avro
- Orc
- Text data
- Parquet
- Spark vs Hive
- Spark process Hive data
- Process Different Database data
- Oracle
- MySQL
- MySQL data analysis
- Sqoop Vs Spark
- Data-migration Project
- ETL project Vs Spark project
- Process different NoSQL Database data
- Spark integrate with HBase and Phoenix
- Spark Cassandra Integration
- Spark MongoDb integration
Kafka Internals
- Kafka Architecture
- Producer API
- Consumer API
- Write producer code to get data from sources (Scala, Python)
- Write consumer code to get data from Kafka and flush data to sink.
- Spark Kafka integration
- Get data from web server and process data using spark
- Spark Streaming end to end spark workflow
- How to submit a project using AWS EMR, Azure, Databricks, Cloudera
Apache Nifi Introduction
- Nifi Internals
- Different Procedures
- Import/export Templates
- Get data from Rest API and process
- Spark Kafka Nifi integration
Snowflake
- Traditional Datawarehouse Vs Snowflake
- Snowflake Architecture
- Create cluster, warehouse
- Process huge amount of data,
- Stages (internal, external)
- Get data from S3 process using snowflake.
- Best practice
Flink
- Flink Architecture
- Flink Core
- Dataset API
- How to process CSV, JSON, Oracle data
- Spark Vs Flink
“Accelerate Your Career Growth: Empowering You to Reach New Heights in AWS Data Engineering”
AWS Data Engineering Training Options
AWS Data Engineering Classroom Training
-
50+ hours of live classroom training -
Real-Time trainer assistance -
Cutting-Edge on AWS tools -
Non-Crowded training batches -
Work on real-time projects -
Flexible timings for sessions
AWS Data Engineering online training
-
50+ Hours of online Aws Training -
1:1 personalised assistance -
Practical knowledge -
Chat and discussion panel for assistance -
Work on live projects with virtual assistance -
24/7 support through email, chat, and social media.
Certification of AWS Data Engineering Course
AWS Data Engineering Certification Course in Chennai can help you get started on your path to becoming an AWS cloud expert. An in-depth knowledge of Amazon Web Services is what you will learn in this course.
Through the curriculum created by the AWS Data Engineer trainers, you will not only learn about the storage and infrastructure components of AWS, but you will also get expertise in the design, planning, and scaling of applications within AWS.
Apart from certification, the skills you have acquired from our training with Live projects, case studies, and practice sessions can enhance your profile
Knowledge Hub with Additional Information of AWS Data Engineering
Future scope of Data Engineer
Data Engineer vs Data Analysis
Cloud Engineer vs Data Engineer
Roles and Responsibility for AWS Data Engineer
AWS Sysops Administrator salaries in India range from 2.7 Lakhs to 9.8 Lakhs per year, with an annual income of 5.1 Lakhs being the average. With less than one year of experience to seven years of experience, the AWS Sysops Administrator’s pay in India ranges from 2.7 Lakhs to 9.8 Lakhs, with an average yearly wage of 5.1 Lakhs.
According to Glassdoor, the average annual salary of these experts in India is roughly 711,000, with the potential to climb to 1,170,000 depending on position and experience.
AWS Data Engineer Salary package
In India, the beginning salary for an AWS Data Engineer is approximately 4.4 Lakhs (or 36.7k) per year. AWS Data Engineers must have at least two years of experience. An entry-level AWS Data Engineer makes an average income of 7.1 Lakhs annually with fewer than three years of experience. While an experienced AWS Data Engineer with 10-20 years of experience earns an average pay of 23.2 Lakhs per year, a mid-career AWS Data Engineer with 4–9 years of experience makes an average salary of 11.5 Lakhs annually.
Role of the Data analyst
Role of the Data scientist
Big Data Hadoop Training
Big Data Testing
AWS Training
AWS Training
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FAQ for AWS Data Engineering Course
What if miss the class?
BTree Systems makes recordings of every Big Data with AWS Certification course class available for review before the next session. You have access to all or any classes for 90 days with Flexi-pass from BTree Systems, giving you the freedom to choose sessions whenever it’s most convenient for you.
Can I meet the trainers before the session?
We always recommend that students meet with the trainer before beginning the course. Before paying fees, BTree Systems offers a free sample class or a discussion session with trainers. We only consider you to enrol in classes if you are happy with the mentorship provided by the instructor.
Will BTree Systems job assistance guarantee get me a job?
No, the placement team at BTree Systems offers technical training, industry projects, case studies, resume preparation, and mock interviews to help increase the likelihood of being hired.
Are there any prerequisites for this course?
Yes, you will need some experience with coding, such as Python, since the Big Data with AWS Certification course incorporates software and IT sectors.
What are the different modes of training at BTree?
We provide various modes of training like:
Classroom training
One and one training
Fast track training
Live instructor LED online training
Customized training
Do you provide career guidance?
Yes, we provide career guidance camps for freshers and working (IT or Non-IT).
Where can I book a free demo?
Call us at 044-4560 5237, and we’ll get back to you as quickly as we can with further details on the deals and discounts.
Do you provide Live projects?
The Real-Time Implementation methodology underpins the entire AWS Data Engineer training program. Through hackathons and lab sessions, you acquire hands-on experience working on projects for the industry, which will help you develop a portfolio of projects.
Can I access the course material online?
Yes, we give students lifetime access to the pupil portal’s study materials, videos, and top MNC interview questions.
What certification will I receive after completion of the course?
You will receive BTree Systems globally recognized course completion certification.
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