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Big Data Analytics

Avanteia Course Details
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Big Data Analytics: Level-02

(1,230 reviews)
author
Created by
Avanteia

Total Enrolled

12,580

Last Update

15 September 2024

Category

Big Data Analytics

Introduction to Big Data Analytics: level-02

Overview:

  • Master real-time analytics, machine learning integration, and big data pipelines. Optimize systems for speed, scale, and actionable business intelligence.
  • Duration: 3 Months

Topics Covered:

  • Scalable data architecture and advanced Hadoop ecosystem components
  • In-depth data analytics and machine learning with Spark MLlib
  • Advanced real-time processing and event streaming (e.g., Kafka)
  • Data governance, security, and compliance
  • Optimization and performance tuning of big data systems

Syllabus

Module 1: Introduction to Big Data & Analytics
  • What is Big Data? 5 Vs (Volume, Velocity, Variety, Veracity, Value)
  • Big Data ecosystem & career scope
  • Traditional databases vs Big Data systems

LAB 1
  • Explore Kaggle datasets
  • Perform exploratory data analysis using Python (Pandas + Matplotlib)

Module 2: Data Collection & Ingestion
  • Data sources (logs, IoT, social media, sensors)
  • Batch vs Streaming data ingestion
  • ETL concepts (Extract, Transform, Load)

LAB 2
  • Use Python requests + APIs to collect data
  • Ingest streaming data using Kafka local setup

Module 3 : Hadoop Ecosystem Basics
  • HDFS (Hadoop Distributed File System)
  • MapReduce programming model
  • Hadoop ecosystem (Hive, Pig, HBase, Sqoop)

LAB 3
  • Install Hadoop single-node cluster (local VM or Docker)
  • Run HDFS file operations (upload, list, read, delete)
  • Execute a simple MapReduce word count job

Module 4 : Data Warehousing & Hive
  • Introduction to Hive & HQL (Hive Query Language)
  • Data warehousing concepts
  • Partitioning & Bucketing

LAB 4
  • Install Apache Hive
  • Run SQL queries on Hive tables (select, group by, join)

Module 5 : Data Processing with Apache Pig & HBase
  • Pig Latin basics
  • NoSQL databases: HBase overview
  • HBase data model & CRUD operations

LAB 5
  • Run Pig Latin scripts for log processing
  • Create an HBase table & insert/query data

Module 6 : Apache Spark for Big Data
  • Spark architecture & RDDs
  • DataFrames & Datasets
  • Spark SQL basics

LAB 6
  • Install PySpark (local or Colab)
  • Perform ETL on large dataset using PySpark

Module 7 : Advanced Spark (MLlib & GraphX)
  • Spark MLlib for Machine Learning
  • Clustering, Classification, Regression in Spark
  • Graph processing with GraphX

LAB 7
  • Use Spark MLlib for sentiment analysis (Twitter/Kaggle dataset)
  • Run KMeans clustering on customer dataset

Module 8 : Streaming & Real-Time Analytics
  • Real-time data processing concepts
  • Apache Kafka & Spark Streaming
  • Use cases: fraud detection, IoT analytics

LAB 8
  • Install Kafka and simulate real-time event streaming
  • Process stream using PySpark Streaming

Module 9 : NoSQL Databases for Big Data
  • Key-Value stores (Redis)
  • Document stores (MongoDB)
  • Columnar stores (Cassandra)

LAB 9
  • Install MongoDB Community Edition
  • Insert & query large JSON dataset

Module 10 : Big Data Visualization & BI Tools
  • Visualization frameworks (Matplotlib, Seaborn, Plotly)
  • Dashboards: Tableau Public (free), Power BI Desktop
  • Connecting visualization tools with Big Data

LAB 10
  • Create interactive dashboards with Plotly/Dash
  • Use Tableau Public to visualize Big Data CSV

Module 11 : Big Data on Cloud
  • Big Data services on AWS, GCP, Azure
  • Google BigQuery basics
  • Cloud storage integration

LAB 11
  • Run queries on Google BigQuery free tier
  • Store & process data using AWS S3 + Athena (free tier)

Module 12 : Big Data Capstone Project
  • End-to-End Big Data pipeline design
  • Combining Hadoop, Spark, NoSQL, Visualization
  • Performance tuning & optimization

LAB 12
  • Choose a real-world dataset (social media, IoT, e-commerce)
  • Perform: Data ingestion → Processing (Spark) → Storage (MongoDB/HDFS) → Visualization (Dash/Tableau)
  • Deploy project on GitHub/Google Cloud free tier


Learning Outcome

  • Master scalable data architecture, apply advanced analytics and machine learning, manage real-time processing and data governance, and optimize big data systems for performance.

Internship: Free internship opportunity included (Duration: 3 months)

Reviews

  • image
    Mansi Manjrekar
    August 12, 2024

    Avanteia offers the best IT courses in Goa! I enrolled for Digital Marketing and my friend joined Web Development – both of us got hands-on training with real projects. Highly recommend for job-seekers and students!

  • image
    Tanraj Simones
    March 10, 2024

    This is the only institute in Goa that truly focuses on career growth. Whether it's Cybersecurity, Blockchain or Digital Marketing, the trainers are super helpful and the learning is very practical.

  • image
    Barkelo Gaonkar
    July 19, 2024

    Avanteia Courses are industry-ready and job-focused. I loved the practical sessions, internship support, and certifications. If you're in Goa and serious about IT skills, this is the place to join.

Write a Review
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  • Level
    Level-02
  • Modules
    12
  • Duration
    3 Months
  • Category
    Big Data Analytics
  • Language
    English
  • Certificate
    Yes
Enroll Now

🛣️ Big Data Analytics Roadmap for Level 2 (Advanced)

Master large-scale data solutions, optimize data pipelines, and apply advanced analytics using tools like Spark MLlib, Flink, Airflow, and more.

1
Step 1
🚀

Big Data Analytics Level 02

Master advanced big data technologies including NoSQL databases, big data visualization, cloud big data tools, and scalable data pipelines.

View Syllabus
2
Step 2
🧑‍💻

Internship

Gain hands-on experience on real-world big data projects during a free 1-year internship.

1 Year
FREE
3
Step 3
📝

Mini Project

Complete projects showcasing your skills in big data pipeline design, optimization, and visualization.

6 Months
4
Step 4
💼

Expected Jobs

Target senior roles such as Big Data Architect, Data Engineering Lead, Cloud Data Specialist, and Analytics Manager.

Big Data Architect
Data Engineering Lead
Cloud Data Specialist
Analytics Manager
Data Scientist
🎯

🏆 Career Destinations

Entry-level (India)
₹5–10 LPA
Mid-level (India)
₹12–22 LPA
Senior-level (India)
₹28–50 LPA+
🌎 Global Roles
$70,000–$140,000

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