Data Science Projects
Hands-on projects covering deep learning, machine learning, and data analysis. Practical applications in healthcare, finance, and more using Python, TensorFlow, and other tools.
PySpark with Python
Learn PySpark for big data processing: DataFrame operations, handling missing values, filtering, aggregations, MLlib basics, and Databricks integration. Includes linear regression implementation.
Hadoop Tutorials
Learn Big Data and Hadoop essentials, including HDFS, MapReduce, YARN, Hive, and HBase. Explore career paths, architecture, and practical problem-solving in Hadoop ecosystems.
Big Data Use Cases - Music Data Analysis Using Hadoop
Explore music data analysis with Hadoop, covering post-analysis, lookup tables, data filtering, enrichment, and in-depth analysis techniques for big data applications.
Big Data Use Cases - Ecommerce Data Analysis Using Hadoop
Explore e-commerce data analysis using Hadoop, covering table creation, data validation, and rule checking for actionable insights in big data environments.
Big Data Use Cases - Bank Data Analysis Using Hadoop
Explore banking data analysis with Hadoop, covering data integration, table creation, content analysis, and archival in this comprehensive big data case study.
Hadoop Tutorials for Beginners
Comprehensive introduction to Big Data technologies, covering HDFS, MapReduce, Hive, Pig, Spark, NoSQL, HBase, Sqoop, Flume, and Kafka. Ideal for beginners seeking a solid foundation in Hadoop ecosystem.
Spark Tutorials for Beginners
Learn Apache Spark fundamentals, including RDDs, SQL, streaming, and architecture. Hands-on tutorials cover setup, programming, and advanced concepts for big data processing.
Apache Kafka Tutorials
Comprehensive tutorials on Apache Kafka, covering core concepts, installation, APIs, configurations, and advanced topics for building real-time data streaming applications.
Hadoop Tutorials
Simplified approach to Hadoop ecosystem: architecture, HDFS, MapReduce, YARN, security, and practical examples. Includes Google Cloud integration for hands-on experience.
Linux Tutorials
Learn essential Linux concepts and skills for IT professionals, including installation, remote access, file systems, and command-line basics.
Scala Tutorial
Comprehensive Scala programming tutorial for Spark developers and functional programmers, covering basics, concepts, and examples to prepare for Apache Spark development.
Google Cloud Tutorials
Explore Google Cloud Platform essentials for Big Data Engineering, including free VM setup, VNC to Linux VM, and Hadoop/Spark cluster deployment with DataProc.
Building Data Pipelines with Apache Kafka and Confluent
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.
KSQLDB and Stream Processing Tutorials - KSQLDB 101
Learn to process event streams with ksqlDB's SQL syntax. Filter, transform, and query data streams, understand streams vs tables, use utility functions, and integrate with Kafka Connect. Hands-on exercises included.
KSQLDB Videos by Confluent
Comprehensive video series on ksqlDB, covering demos, integrations, use cases, installation, core concepts, data manipulation, and production deployment for stream processing with Apache Kafka.
Apache Spark Tutorials
Learn Apache Spark's distributed computing capabilities, architecture, and programming with Scala. Explore DataFrames, SQL, data sources, and advanced features like Delta Lake for efficient big data processing.
Kafka Streams with Spring Cloud
Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.
Apache Spark 3 - Beyond Basics and Cracking Job Interviews
Advanced Apache Spark 3 skills for certification, job interviews, and complex scenarios. Covers architecture, memory management, optimization techniques, and performance tuning. Open to learner requests for additional topics.
Machine Learning
Comprehensive introduction to machine learning, covering algorithms, data analytics, and predictive modeling. Includes hands-on tutorials on data preparation, visualization, and decision tree implementation.
Postgres and MySQL Use Cases on Azure - Migrations, Analytics, and E-commerce
Explore developers' use of Postgres & MySQL on Azure for e-commerce, analytics, and SaaS. Learn about migrations, real-time analytics, and popular applications like Magento and Moodle on Azure's managed services.