Data Engineering Course
June 14, 2023 2023-09-01 9:40Data Engineering Course
Data Engineering Course
Become a certified Data Engineer with solid knowledge of programming languages and distributed systems.
2000+
Learners
3 Months
15hrs/weekÂ
Course Overview
Looking to upskill in data engineering and gain job support? Enroll in our Data Engineering Job Support Course designed for professionals in the USA, Canada, and the UK. Our Data Engineering The course has been developed specifically for working individuals to help them with their tasks and upskill their potential. The course would ensure you gain knowledge of distributed systems, including Spark and Hadoop, and cloud computing platforms like AWS and Azure. By the end of this course, you will also have working knowledge of at least one programming language like Python, Java, or Scala. With hands-on training by the best in the industry, you will learn to work with NoSQL or relational databases. Join our Data Engineering Course to take positive steps toward a career in Data Engineering
A staggering number of freshers and professionals have realized the potential of an industry-standard QA Testing Course in advancing their careers.Â
Our unique, hands-on approach includes 60+ hours of learning, providing practical training, case studies, and discussions for ‘real-world’ experience.
Candidates get excellent placement opportunities at top MNC companies like Honeywell, Microsoft, IBM, TCS, and Capgemini on successful course completion.
About the Course
Learn top QA skills demanded in the industry, both in Manual and Automation.
Become a developer specializing in testing and kick-start your career in IT.Â
- Career essential topics covered
- 60+ case studies and projects
- Daily doubt resolution support
- 1:1 career mentorship sessionsÂ
Program Overview
- 60 Hours of Blended Learning
- Hands-on Training on Popular QA Testing Software
- Live Projects
- Essential Interview Training
- Resume Assistance
- On-Job support and assistance
Syllabus
Best in class content by leading faculty and industry leaders in the form of videos, cases and projects
Instructor
Harsha P.
An experienced software trainer with over 18 years of expertise in Quality Assurance, capable of delivering high-quality training and imparting skills and knowledge to individuals or groups.
Pushpa A.
An experienced QA trainer with over 15 years of expertise who helps students achieve their dream jobs by providing quality training on various QA tools and techniques, sharing industry insights, and offering resume building and interview preparation guidance.
Sahithi S.
An experienced QA trainer with over 20 years of expertise who helps students understand all the QA concepts by providing comprehensive training with real-time examples and hands-on experience, allowing them to gain practical knowledge and confidence in their skills.
Course Schedule
Syllabus
- Variables, Keywords
- Basic data types
- Standard data types – List, Tuple, Dictionary
Operators - If else
- Loops
- Functions
- List comprehension
- Big data processing using Distributed data processing
- Spark vs hadoop
- Spark Advantages and Features
- Spark Architecture and Cluster manager types
- Spark-shell and
- Spark-Submit
- Spark installation
- Spark core – RDD, Transformations, Actions, etc.
- Spark SQL – Data frames, SQL related operations
- Spark Streaming
- OLAP types and operations
- Facts and measures
- Schemas and its types
- SCD and its types
- Â DDL – Create, Drop, Alter, etc
- DML – Select, Insert, Update, Delete, etc
- Operators with SELECT WHERE – AND/OR, LIKE, IN, etc
- Aggregates 1 – COUNT, SUM, MAX/MIN, etc
- Aggregates 2 – DISTINCT, GROUP BY, HAVING, ORDER BY
- Joins – INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER
- Union
- Null handling
- Sub queries – IN, EXISTS
- Common table expressions
Views
- Topics – Partitions, off sets
- Producers – Message keys, Message Serializer
- Consumers – Consumer group, Consumer deserializer
- Brokers – Topic replication
- Zookeeper
- Data sources – S3, Dynamo DB, etc
- Data ingestion (Batch) – Lambda, Glue, EMR
- Data ingestion (Streaming) – Kinesis
- ETL – Lambda, Glue, EMR
- Data warehouse – Redshift
- Data analytics – Athena
- Application integration – Event bridge, SQS/ SNS
- Pipeline orchestration – Step functions
- Monitoring – Cloud watch
What Our
Learners Say
People love Bevy, so do you. Because this is the All-in-one solution for any Online studying, eLearning center.
Hiring Partners
Our hiring partners are top companies from all around the world like to recruit from Bevy Consulting.Â
Frequently Asked Questions
Any working professional who needs to upskill in data engineering and gain job support can take the course.
The course span is adaptable depending on the necessities of the people enrolling.
Indeed, the course gives job support to working professionals. The instructors will help them in securing good positions and help with potential opportunities.
With the constant evolution of the digital space and the right amount of training and knowledge, one can build a promising career in Data Engineering.
A data engineering course will help you learn about distributed systems, cloud computing platforms, and programming languages.
