Introduction Background of Deepak The Struggles Before Upskilling Discovering the Potential of Big Data Choosing Hadoop Testing Training The Learning Experience at ACTE Challenges Faced During the Course Conclusion Introduction Success stories are powerful reminders that transformation is possible with the right guidance, tools, and...

Career in Software Testing Need for Upskilling Why Hadoop Testing? Course Outline and Labs Gaining Hands-On Exposure Understanding Hadoop Ecosystem Preparing for Job Interviews Getting Certified Conclusion Career in Software Testing Somashekhar Hatti began his career in software testing over a decade ago, working with...

Initial Career Path Interest in Big Data Field Enrollment Process Course Modules Covered Real-Time Use Case Projects Confidence Gained Through Practice Job Search Post-Training Success in Interviews Conclusion Initial Career Path Pradeep Dhanapathy started his professional journey in the field of software testing, working...

Overview of PayPal’s Business Data Challenges Faced Big Data Infrastructure Used Tools and Technologies Implemented Fraud Detection Systems Customer Behavior Analytics Real-Time Decision Making Personalization and Recommendation Engines Conclusion Overview of PayPal’s Business PayPal, founded in 1998, is one of the world’s...

Introduction to Hadoop Architecture Core Hadoop Components Required Skills for a Hadoop Architect Programming and Scripting Proficiency Data Modeling and Storage Design System and Data Integration Tools to Master (Hive, Pig, Oozie, etc.) DevOps and Cloud Integration Conclusion Introduction to Hadoop...

Introduction to Sqoop Role in Big Data Ecosystem Features and Benefits Sqoop Architecture Importing from RDBMS to HDFS Exporting from HDFS to RDBMS Commands and Syntax Integration with Hive and HBase Conclusion Introduction to Sqoop Apache Sqoop (SQL-to-Hadoop) is an open-source tool designed to facilitate the...

Introduction to Random Forest Key Features of the Algorithm Importance of Data Traits Feature Importance and Selection Hyperparameter Tuning Impact of Data Size and Distribution Ensemble Method Advantages Accuracy and Bias-Variance Tradeoff Conclusion Introduction to Random Forest Random Forest Classifiers is a supervised...

Importance of Real-Time Analytics Spark’s Key Strengths Speed and Fault Tolerance Scalability and Resource Management Integration with Streaming Sources Use Cases Across Industries Cost and Performance Balance Comparisons with Other Tools Conclusion Importance of Real-Time Analytics Real-time analytics is the process of...

Introduction to Spark Streaming Key Concepts (Batch Interval, DStreams) Structured Streaming Overview Setup and Configuration Ingesting Data from Sources Transformations and Actions Windowed Operations Fault Tolerance Mechanisms Conclusion Introduction to Spark Streaming Apache Spark Streaming is an extension of...

Introduction to Real-Time Data Processing Spark Execution Model Spark Core and RDDs Spark Streaming Architecture DStreams and Structured Streaming Parallelism in Spark Resource Management with YARN/Mesos Latency and Throughput Conclusion Introduction to Real-Time Data Processing Real-time data processing involves...