Dive into the world of Big Data and discover the power of harnessing vast volumes of data for insights and innovation. Explore cutting-edge technologies and techniques for storing, processing, and analyzing data at scale. Master tools like Hadoop, Spark, and Kafka to unlock the potential of Big Data and drive data-driven decision-making in your organization.
Big data refers to the vast volumes of structured and unstructured data generated from multiple sources at high velocity, variety, and veracity. It exceeds the capacity of traditional databases to capture, manage, and process with a reasonable latency. Big data is characterized by its ability to provide valuable insights and patterns for decision-making in fields ranging from healthcare to marketing, finance, and beyond, leveraging advanced analytics and technologies.
Big Data Fundamentals
Big Data Technologies
Data Processing and Management
Data Analysis and Insights
Machine Learning with Big Data
Big Data Visualization
Big Data in Cloud
Big Data Security and Governance
Industry Applications
> Hadoop Installation and Hortonworks Sandbox Demo
> Using Hadoop on single node cluster
> Introduction to Hadoop Ecosystem
> HDFS and Map Reduce
> HDFS and MRv1 Architecture
> Introduction to YARN
> YARN and Resource Manager UI
> Working with Ambari
> Map Reduce word count example
> Integrating Python with Hadoop
> Working on Movies dataset
> PIG Installation and commands
> Working on Million songs dataset
> HIVE Queries
> Working on Twitter data
> Spark Installation and Word Count example
> Setting up Python with Spark
> Spark RDD (Resilient Distributed Dataset)
> Introduction to Spark ML Lib (Machine Learning Library)
> Movie Recommendation with ML Lib
> Spark Streaming with Python
> Advanced Examples of Spark
> Using NoSQL
> Introduction to HBase
> HBase Tables
> HBase Read Write
> Using HBase with PIG
> Cassandra Overview
> Installing Cassandra
> Write Spark output to Cassandra
> Mongo DB Overview
Mathematical Foundation
Programming Skills
Understanding of Databases
Data Manipulation and Analysis
Machine Learning Basics
Critical Thinking and Problem-Solving
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April 24th, 2024
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April 30th, 2024
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