
Explore Apache Kafka® replication: challenges, approaches, monitoring, and failure handling. Gain practical insights through Docker and Jupyter notebook experiments, with code available on GitHub.

Explore AI's impact on Nobel Prizes, cutting-edge AI platforms, and the growing importance of unstructured data in machine learning with industry experts.

Explore challenges in deploying ML pipelines and learn how feature stores and platforms solve data problems for production ML, enabling real-time processing and scaling.

Explore the lifecycle of Kafka producer requests, from initial call to disk storage and back, enhancing your debugging and performance analysis skills for Apache Kafka.

Explore cutting-edge data and AI technologies, real-world applications, and industry insights from global experts. Gain knowledge on generative AI, data governance, and optimizing data intelligence for enterprise success.

Explore GraphRAG: AI-powered content interpretation using LLMs to create knowledge graphs from unstructured text, enabling advanced search and question-answering capabilities.

Discover strategies for optimizing vLLM to enhance LLM inference performance, reduce GPU idle time, and accelerate quantization, leading to cost-effective large-scale language model deployment.

Explore Neo4J Knowledge Graph Builder for creating knowledge graphs from unstructured data using LLMs and LangChain. Learn to leverage this tool for advanced data science and machine learning applications.

Explore integrating Langchain with ElasticSearch for RAG applications, using ElasticSearch as a vector store and retrieval component with Gemini.

Learn Hadoop administration with Cloudera, covering installation, configuration, security, high availability, and performance tuning for enterprise-level data management and analytics.

Learn to set up and manage Cloudera Hadoop on AWS, covering AWS basics, HDFS, MapReduce, YARN, and essential Hadoop ecosystem tools like Hive and Sqoop.

Comprehensive guide to Cloudera Data Platform, covering key components, features, and practical applications for data management, analytics, and machine learning in cloud environments.

Comprehensive video series covering Cloudera's data platform, including security, governance, analytics, deployment, and management topics for enterprise-level data solutions.

Comprehensive training for Cloudera Certified Associate Spark and Hadoop Developer certification, covering Sqoop, Flume, HDFS, Spark, and Hive. Hands-on practice with real-world scenarios and data analysis techniques.

This full course on Data Science from Great Learning is ideal for both beginners and professionals who want to upskill in one of the highly trending domains of the industry. It covers topics as fundamental as statistics and data to Logistic and Linear Re…

In this tutorial, we have covered all the important topics such as, What is Big Data and Hadoop, What is Hive, What are their features and much more that will help you to get a hold over this concept.

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads. This video will help you to understand every aspect of Spark Streaming along with the examples and visuals for bett…

This video teaches DevOps and its key functions and concepts by carrying out simultaneous demonstrations and examples to help you get started on the right foot.

In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming.

This session on 'Big Data Tutorial' will help you to master all the concepts of Big Data Analytics such as Big Data Ecosystem, Hadoop and NoSQL Databases.

Comprehensive introduction to big data analytics, covering key concepts like Hadoop, Apache Spark, and ETL. Ideal for beginners seeking to understand the landscape and value chain of big data.