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Big Data Analytics Course Syllabus

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Softlogic Systems’ Big Data Analytics Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our Big Data Analytics Syllabus covers the fundamentals of big data, Hadoop ecosystem (HDFS, MapReduce, Hive, Pig), Apache Spark, data ingestion with Sqoop and Flume, and real-time processing with Kafka. Our Big Data Analytics Course Content helps you learn Big Data Analytics Step by Step with real-time projects and Interview Preparations.

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Syllabus for The Big Data Analytics Course

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  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment
  • First steps with the Hadoop “ecosystem”
  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop
  • Getting data from Hadoop
  • Introduction to the SQL Language
  • From SQL to HiveQL
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files
  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools
    • Spark & SparkML
    • H2O
    • Azure ML
  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

Conclusion

The Big Data Analytics Course Syllabus above is for college students, people who have just graduated, and those looking for a job. Our Softlogic Systems provides a syllabus about Big Data Analytics, including big data, Hadoop ecosystem (HDFS, MapReduce, Hive, Pig), Apache Spark, data ingestion with Sqoop and Flume, and real-time processing with Kafka. After completing this syllabus, you will do projects, prepare for job interviews, and apply for jobs. By learning step by step, Big Data Analytics will help students get a job placement. The goal is to make students learn Big Data Analytics in a way that helps them get a job.

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Nithish Sahoo

I had an excellent experience taking this DevOps course. The curriculum is well-structured and covers both fundamental and advanced DevOps concepts in a clear manner.…
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I had a 3 year career break. Joined SLA on Java Full Stack course and completed it.Did projects with the help of my Mentor. They…
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Hi, I recently completed the DOT NET Full Stack Development course at SLA, and I had a great learning experience. The teaching style and student…
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MATHAN KUMAR G EEE

SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
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SLA Institute provides training in communication and aptitude along with strong technical skills. The trainers explain concepts clearly with a practical approach, which helps build…
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 Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
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FAQs

SLA has specially designated HR personnel who will deal with student grievances.

Big Data Analytics usually requires coding for tasks like handling and analyzing data. Coding helps automate processes and run complex algorithms. However, some tools make it easier and need less coding.

SLA has specially designated HR personnel who will deal with student grievances.

Organizations may harness their data and use big data analytics to find new opportunities. In the end, this leads to more profitable business decisions, more efficient operations, and happy customers. To learn more, enroll in our big data analytics training in OMR

Yes, SLA provides EMI with 0% interest.

Learning Big Data Analytics can be tough because of its complexity. But, with good resources and effort, it’s manageable. Starting with basics and moving up step by step helps.

Yes, SLA provides EMI with 0% interest.

Big data analytics tools and systems enable organizations to make data-driven decisions that enhance their business-related results. Improved operational efficiency, additional revenue potential, consumer personalization, and more effective marketing are just a few advantages. 

SLA’s trainers have years of experience in both the fields of IT and teaching.

Yes, there is a big need for data analyzers. The majority of industries around the globe are impacted by the data skills gap, which implies that a significant number of people will need to transition to employment in data analysis.

Yes, a fresher can learn Big Data Analytics. Starting with basic concepts and using beginner-friendly resources can make the learning process easier.

SLA’s trainers have years of experience in both the fields of IT and teaching.

Yes, Big Data Analytics is in high demand. Companies need experts to analyze large datasets and make data-driven decisions, creating many job opportunities in the field.

These days, big data analytics is applied in a wide range of fields, including environmental protection, gambling, agriculture, and medicine. 

Currently SLA has about 2 branches, one is in Navalur, OMR and another is in K.K. Nagar.

Currently SLA has about 2 branches, one is in Navalur, OMR and another is in K.K. Nagar.

We accept all major payment methods. Cash, debit cards, credit cards (including Master, Visa, and Maestro), net banking, UPI, etc.

Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Big Data Analytics online course, featuring placement support.

SLA’s OMR branch has the advantage of being situated in the middle of OMR’s IT hub, which gives students a lot of opportunities in placements and internships.

When it comes to big data projects, more than half of companies (52%) choose project-based funding. Revenue increases by 8% when big data is utilized. 56% of data leaders reported higher big data and analytics spending despite uncertain economic times. According to 78% of data leaders, investment will increase by 2024.

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