Java Training Courses from Fundamentals to Spring Framework - Java Training
Our Java Developer training is based on the Java SE 11 Developer Training 1Z0-819 certification from Oracle. Learn the core APIs of Java Standard Edition such as concurrency, Java I/O, Collections and streams. Master the principles of object orientation and how its implemented in Java and know the fundamental data structures of Java and when to use them.
Master Java Enterprise Edition with our Java EE Application Developer course. Our course is based on Oracle's Java EE Application Developer (1Z0-900) certification. Understand the core Java EE APIs such as Java Persistence API (JPA), Enterprise Java Beans (EJB) and Web Services. Get trained and get certified.
Jumping Bean's Kafka training offers a comprehensive program that equips individuals and organizations with a deep understanding of Apache Kafka. Participants gain knowledge of Kafka's architecture, core concepts, and practical implementation techniques. Kafka's significance in Big Data stems from its scalability, fault tolerance, and distributed nature. It excels in handling large data volumes and ensures data availability even during failures. With its real-time data streaming capabilities, Kafka enables the processing of streaming data, facilitating real-time analytics and decision-making. Additionally, Kafka serves as a central hub for data integration in Big Data ecosystems, providing a reliable and high-performance data pipeline for efficient data ingestion, storage, and delivery between various systems and applications. Its ability to handle high throughput and low latency processing makes Kafka an essential component for building robust and scalable Big Data solutions.
Learn to leverage the power of Apache Spark with Jumping Beans training course for data processing and analytics. The training covers essential concepts, architecture, and practical implementation techniques related to Spark. Apache Spark is a fast and versatile distributed computing framework that enables high-speed data processing, machine learning, and real-time analytics. With Jumping Bean's Spark training, participants learn how to effectively utilize Spark's various components, such as Spark Core, Spark SQL, Spark Streaming, and MLlib, to perform efficient data transformations, complex analytics, and machine learning tasks at scale. The training empowers individuals to harness the full potential of Apache Spark, enabling them to handle large-scale data processing and derive valuable insights from their data with speed and efficiency.
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