Coding and Programming Languages Training

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Introduction to Apache Kafka

Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures....

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Introduction to Kafka for Developers

Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures....

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Introduction to Cassandra

Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduce...

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Machine Learning & Deep Learning Essentials with Spark and TensorFlow (TTML5508)

Apache Spark, a significant component in the Hadoop Ecosystem, is a cluster computing engine used in Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, offers order-of-magnitude faster processing for many in-memory ...

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Working with Apache Hive

Hive is the de-facto standard for data warehousing Hadoop. This course starts with a Hive setup and operations and continues into advanced Hive uses. It also discusses performance and execution engines while ending with a practic...

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Working with Apache Hive | Apache Hive Essentials

Apache Hive is the de-facto standard for data warehousing Hadoop. This course starts with standard Hive setup and operations, continues into Advanced Hive use, discusses performance and execution engines, and ends with a practica...

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Apache Spark Programming (DB 105)

This 3-day course is equally applicable to data engineers, data scientist, analysts, architects, software engineers, and technical managers interested in a thorough, hands-on overview of Apache Spark.

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HDP Developer: Apache Spark 2.3

This course introduces the Apache Spark distributed computing engine, and is suitable for developers, data analysts, architects, technical managers, and anyone who needs to use Spark in a hands-on manner. It is based on the Spark...

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JumpStart to Developing in Apache Spark

Apache Spark is an important component in the Hadoop Ecosystem as a cluster computing engine used for Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, Spark offers faster in-memory processing for computing tasks w...

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Apache Spark for Machine Learning and Data Science (DB 301)

This 3-day course is primarily for data scientists but is directly applicable to analysts, architects, software engineers, and technical managers interested in a thorough, hands-on overview of Apache Spark and its applications to...

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Apache Spark Big Data Boot Camp

The speed, expanded versatility, and new access to powerful APIs and libraries make Apache Spark the undisputed new toolset for powering big data solutions with distributed cluster computing. Also, for the first time ever Spark g...

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Apache Spark for Data Scientists

Apache Spark is a powerful, open-source processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and sophisticated analytics. The Spark framework supports streaming data processing and complex iterative...

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Comprehensive Flink

Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink builds batch processing on top of the streaming engine, overlay...

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