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.
Big Data Analytics Course Syllabus
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Syllabus for The Big Data Analytics Course
Big Data Introduction
- Big data: definition and taxonomy
- Big data value for the enterprise
- Setting up the demo environment
- First steps with the Hadoop “ecosystem”
The Hadoop Ecosystem
- Introduction to Hadoop
- Hadoop components: MapReduce/Pig/Hive/HBase
- Loading data into Hadoop
- Handling files in Hadoop
- Getting data from Hadoop
Querying big data with Hive
- Introduction to the SQL Language
- From SQL to HiveQL
- Introduction to HIVE e HIVEQL
- Using Hive to query Hadoop files
Big Data & Machine learning
- Quick into to Machine learning
- Big Data & Machine Learning
- Machine learning tools
- Spark & SparkML
- H2O
- Azure ML
Big data & Machine learning
- 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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FAQs
How does SLA deal with student grievances ?
SLA has specially designated HR personnel who will deal with student grievances.
Does Big Data Analytics require coding?
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.
How does SLA deal with student grievances ?
SLA has specially designated HR personnel who will deal with student grievances.
What can big data analytics be used for?
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.
Does SLA provide EMI options?
Yes, SLA provides EMI with 0% interest.
Is it easy to learn Big Data Analytics?
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.
Does SLA provide EMI options?
Yes, SLA provides EMI with 0% interest.
What is the scope of big data analytics?
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.
What level of experience does SLA’s trainers have?
SLA’s trainers have years of experience in both the fields of IT and teaching.
Is big data analytics a good career?
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.
Can a fresher learn Big Data Analytics?
Yes, a fresher can learn Big Data Analytics. Starting with basic concepts and using beginner-friendly resources can make the learning process easier.
What level of experience does SLA’s trainers have?
SLA’s trainers have years of experience in both the fields of IT and teaching.
Is Big Data Analytics in demand?
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.
Where are big data analytics used?
These days, big data analytics is applied in a wide range of fields, including environmental protection, gambling, agriculture, and medicine.
How many branches does SLA have?
Currently SLA has about 2 branches, one is in Navalur, OMR and another is in K.K. Nagar.
How many branches does SLA have?
Currently SLA has about 2 branches, one is in Navalur, OMR and another is in K.K. Nagar.
What methods of payment are available?
We accept all major payment methods. Cash, debit cards, credit cards (including Master, Visa, and Maestro), net banking, UPI, etc.
Can I still join job placement events if I already have a job offer?
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.
What is the special feature about SLA’s OMR branch?
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.
How many companies use big data analytics?
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.





