*📚 Big Data Roadmap 📚* | |-- Fundamentals | |-- Introduction to Big Data | | |-- Characteristics of Big Data (Volume, Velocity, Variety, Veracity, Value) | | |-- Big Data vs. Traditional Data Processing | |-- Mathematics and Programming for Big Data | | |-- Basic Probability and Statistics | | |-- Python (Pandas, NumPy) | | |-- Java/Scala (Optional) | |-- Big Data Tools and Frameworks | |-- Apache Hadoop | | |-- Hadoop HDFS (Distributed File System) | | |-- MapReduce | | |-- Hadoop Ecosystem (Hive, Pig, HBase, etc.) | |-- Apache Spark | | |-- RDDs and DataFrames | | |-- SparkSQL | | |-- Spark Streaming | | |-- MLlib (Machine Learning with Spark) | |-- Data Storage Solutions | |-- Distributed Databases | | |-- Apache HBase | | |-- Cassandra | | |-- Amazon DynamoDB | |-- NoSQL Databases | | |-- MongoDB | | |-- Couchbase | |-- Data Lakes | | |-- Amazon S3 | | |-- Hadoop HDFS | |-- Data Processing Frameworks | |-- Batch Processing | | |-- Apache Hadoop MapReduce | | |-- Apache Flink | |-- Stream Processing | | |-- Apache Kafka | | |-- Apache Storm | | |-- Apache Samza | |-- Data Analysis and Visualization | |-- Data Analysis Tools | | |-- Apache Hive | | |-- Apache Drill | |-- Data Visualization | | |-- Apache Zeppelin | | |-- Tableau (for big data) | | |-- Power BI | |-- Cloud-Based Big Data Tools | |-- Amazon Web Services (AWS) | | |-- Amazon EMR | | |-- AWS Redshift | | |-- AWS Glue | |-- Microsoft Azure | | |-- Azure HDInsight | | |-- Azure Synapse Analytics | |-- Google Cloud | | |-- Google BigQuery | | |-- Google Dataflow | |-- Machine Learning with Big Data | |-- Machine Learning Algorithms for Big Data | | |-- Collaborative Filtering | | |-- Dimensionality Reduction (PCA, LDA) | |-- Apache Mahout | | |-- Machine Learning on Hadoop | |-- Deep Learning on Big Data | | |-- TensorFlow on Spark | |-- Big Data Analytics | |-- Real-Time Analytics | | |-- Apache Kafka + Apache Storm | | |-- Apache Flink | |-- Predictive Analytics | | |-- Time Series Forecasting | | |-- Predictive Modeling with Spark MLlib | |-- Security and Privacy | |-- Big Data Security | | |-- Data Encryption | | |-- Authentication and Authorization in Hadoop | | |-- Secure Data Transmission | |-- Privacy Concerns | | |-- GDPR Compliance | | |-- Anonymization and Data Masking | |-- Certifications | |-- Cloudera Certified Associate (CCA) | |-- Google Cloud Certified - Professional Data Engineer | |-- Microsoft Certified: Azure Data Engineer For more: https://whatsapp.com/channel/0029Va7eYYEJZg46Xbulvl1k