Databricks fundamentals
This Databricks Fundamentals course will help participants in getting a proper understanding of the internal structure and functioning of Databricks, the most powerful big data processing tool.
13 courses
This Databricks Fundamentals course will help participants in getting a proper understanding of the internal structure and functioning of Databricks, the most powerful big data processing tool.
This advanced course provides a comprehensive understanding of Apache Spark’s internal structure, focusing on Spark Core (RDD), Spark SQL, and Spark Streaming. Students will learn to optimize Spark jobs, manage resource allocation, and work with connectors for enhanced data processing.
This training course delivers key concepts and methods for data processing applications development using Apache Spark.
Explore modern data management techniques with our "Modern Data Management Approaches in Real World Case" course. Learn through real-world examples, including handling 24M gaming cards, and gain hands-on experience with cutting-edge technologies like MongoDB, Spark Streaming, Cassandra, and distributed file systems. Perfect for data professionals looking to solve complex data challenges.
Master the essentials of Hadoop with our "Hadoop Fundamentals" course. Learn how to navigate the Hadoop ecosystem, from HDFS to MapReduce, YARN, Hive, and Spark. Gain hands-on experience in managing large-scale data processing and storage, making this course ideal for aspiring data engineers and developers.
Enhance your programming skills with our "MongoDB for Programmers" course. Explore MongoDB's core features, including CRUD operations, aggregation, transactions, sharding, replication, and more. Ideal for developers looking to integrate MongoDB into their projects and optimize their applications for performance and scalability.
Dive deep into the world of Reinforcement Learning (RL) with our "Reinforcement Learning - From Fundamentals to Deep RL" course. Learn the mathematical foundations, explore key RL algorithms, and master advanced techniques in deep reinforcement learning. Perfect for aspiring data scientists and AI researchers aiming to leverage RL in real-world applications.
Master the fundamentals of data warehousing with our "Data Warehouse Fundamentals" course. Explore key concepts, architectures, and methodologies from Inmon, Kimball, and DataVault. Understand how data governance and design methods shape modern data warehouses. Ideal for those looking to build robust, scalable data systems.
It’s a practical course in machine learning. This course covers the entire lifecycle of the solution – from initial data capture (“.csv file”) through building a model to explaining data and outcomes to the customer. The theory on classification, regression, predictions, and ensembles – is provided to the extent required for the correct understanding of discussed cases and building solutions for them.
Gain a solid foundation in machine learning with our "Machine Learning Fundamentals" course. Explore essential ML concepts, algorithms, and practical tools like Spark MLLib and Spark ML. Perfect for aspiring data scientists and engineers looking to apply ML techniques in real-world scenarios.
Master the essentials of Kafka with our "Kafka Fundamentals" course. Learn about Kafka architecture, topics, and APIs, and gain hands-on experience with AVRO, Schema Registry, SpringBoot, and streaming pipelines. Perfect for developers and data engineers looking to build and optimize real-time data processing applications.