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Certificate Program in Big Data Analytics with Hadoop
This Big Data Analytics with Hadoop certification program is designed to understand and apply the concept of analytics to manage Big Data with Hadoop and its ecosystem including pig, hive, and Sqoop.
The Certificate Program in Big Data Analytics with Hadoop is designed to help students acquire the necessary skills to become a successful Big Data Analyst. This program offers a comprehensive introduction to the world of Big Data and Hadoop, including an overview of its various components and frameworks, as well as hands-on experience with Hadoop and its related tools. Through this program, students will gain an understanding of data architecture, data visualization, data querying, and data modeling, as well as a comprehensive overview of the Hadoop ecosystem. Upon successful completion of the program, students will be equipped with the knowledge and practical skills necessary to become a successful Big Data Analyst.
Course highlights
- Designed for Working Professionals & Freshers
- 300+ Hrs. of Learning
- 70+ Live sessions
- Industry Projects & Case Studies
- Live Coding Classes & Profile Building Workshops
- Learn from Industry Experts
- Industry Mentors and Industry Sessions
- Customize your learning path
- Support in creating a portfolio
- Daily Doubt Resolution Sessions
- All the Hands-on sessions will be conducted through the AWS portal
- Mentored by industry experts to learn and apply better personalized subjective feedback on your submissions to facilitate improvement
- 24 x 7 Expert Support: We have a lifetime 24×7 online support team to resolve all your technical queries, through a ticket-based tracking system
Education Criteria
- B.E. & B. Tech (CS/IT/EC), BCA, B. Sc & MCA.
- Sc. & M.Sc. (CS, IT)
- Understanding of the English language is a must as training is conducted in English only.
- Experienced learners with 1 to 3 years of IT / ITeS
Why should you take this course?
- Understand the concept of Big Data
- Understand the concept of Hadoop
- Understand the concept of the storage layer and processing layer of Hadoop
- Understand the internals of MapReduce and YARN
- Understand the different modes and distribution of Hadoop
- Write MapReduce job for word count
- Create one node Hadoop cluster with Pig, Hive, and Sqoop
Skills/Tools Covered
- Data
- Data Analytics
- Big Data
- Hadoop
- MapReduce
- HDFS
- YARN
- Pig
- Hive
- Sqoop
Infra Requirements
- Students must have the following to attend classes,
- Processor core i5, 500 GD HDD, 8 GB RAM
- Internet 4MBPS (minimum)
- Landing a dream job in top paying cloud computing companies in the country.
- Cloud certification can kick start your career in the IT industry
- You can work asaBig Data engineer,Big DataArchitect andBig data Hadoopspecialist
- 57% started a new career after completing these courses
- 60% got a tangible career benefit from this course
- 50% got a pay increase or promotion
- Digital certificate of completion
- Placement Assistance with Q Academy’s Job Portal
Level: As per Bloom’s Taxonomy, L1-Remembering, L2-Understanding, L3-Applying, L4-Analyzing, L5-Evaluating, L6-Creating
- CO1: Learner will understand the concept of a data warehouse and be able to apply Data Lake concepts for an industry-ready skill set. (L2, L3)
- CO2: Learners will be able to create data queries with PL/SQL and apply the concept of python to big data (L3, L6)
- CO3: Learners will be able to Understand the AWS cloud platform and apply services to create data management policies (L2, L3)
- CO4: Learners will be able to implement networking configuration and understand different data processes and compute services (L2, L3, L4)
- CO5: Learner will be able to evaluate risk and implement security, AIML, and CD/CI Process (L5, L3, L6)
- To understand the basic concept, types, and architecture of Big Data
- To understand and implement the Hadoop system
- To understand and apply the HDFS concept to files
- To understand and implement YARN
- To understand high-level data flow with Pig and configure the ecosystem
- To understand internal concepts, Hive and Sqoop
- Instructor Lead
- Hands-on Training
- Virtual Class
Students will be assessed by daily attendance, assignments, and completion of in-class activities
- 10 percent attendance
- 60 percent of Assignments
- 30 percent of quizzes
Student must have at least 80 percent overall attendance and obtain a grade of 60 percent to have successfully completed the program
- Freshers who aspire to build their career in the field of Data Analytics with Big data
- Individuals with a bachelor’s degree and a keen interest to learn solutions for Big Data
- IT professionals looking for a career transition as Big Data Engineer, Hadoop Engineer
- Professionals aiming to move ahead in their IT career for upskilling
Course Info
Knowledge of Cloud Computing, and DevOps processes required
- Big Data Analyst
- Big Data Architect
- Data Engineer
- Data Scientist
- Hadoop Developer
- Hadoop Tester
- Hadoop Administrator
- Hadoop Architect
Big Data, Hadoop, Spark, Data Engineer, Big Data Analytics
Certificate
