HDF Operations

This 2 day course is designed for ‘Data Stewards’ or ‘Data Flow Managers’ who are looking forward to
automate the flow of data between systems.

Target Audience

Data Engineers, Integration Engineers and Architects who are looking forward to automate Data flow between systems.

Prerequisites

It is recommended that participants have some experience with Linux and a basic understanding of DataFlow tools. Students will need to bring their wi-fi enabled laptop pre-loaded with Chrome or Firefox browser in order to complete hands-on labs.

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HDP Data Science

Learn Data Science techniques and best practices leveraging the Hadoop ecosystem and tools in this 2 day course.

Target Audience

Architects, software developers, analysts and data scientists who need to apply data science and machine learning on Apache Hadoop.

Prerequisites

Students must have experience with at least one programming such as Python, or scripting language, knowledge in statistics and/or mathematics, and a basic understanding of big data and Hadoop principles.

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HDP Developer: Batch

This 2 day training course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Apache Pig and Apache Hive, and developing applications on Apache Spark. Topics include: Essential understanding of HDP & its capabilities, Hadoop, YARN, HDFS, MapReduce/Tez, data ingestion, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core, Spark SQL, Apache Zeppelin, and additional Spark features

Target Audience

Developers and data engineers who need to understand and develop applications on HDP

Prerequisites

Students should be familiar with programming principles and have experience in software development. SQL and light scripting knowledge is also helpful. No prior Hadoop knowledge is required.

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HDP Developer: Spark (Python)

This 2 day course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Spark. The focus will be on utilizing the Spark API from Python.

Target Audience

Developers, Architects, and Admins who would like to learn more about developing data applications in Spark, how it will affect their environment, and ways to optimize application.

Prerequisites

No previous Hadoop knowledge is required, though will be useful. Basic knowledge of Python or Scala is required. Previous exposure to SQL is helpful, but not required. Students will need to bring their wi-fi enabled laptop pre-loaded with Chrome or Firefox browser in order to complete hands-on labs.

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HDP Essentials

This 1 day course details the business value for, and provides a technical overview of, Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course serves as an optional primer for those who plan to attend a hands-on, instructor-led course.

Target Audience

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem.

Prerequisites

No previous Hadoop or programming knowledge is required. Students are encouraged to bring their wi-fi enabled laptop pre-loaded with the Hortonworks Sandbox should they want to duplicate demonstrations on their own machine.

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HDP Developer: Spark (Scala)

This 2 day course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Spark. The focus will be on utilizing the Spark API from Scala.

Target Audience

Developers, Architects, and Admins who would like to learn more about developing data applications in Spark, how it will affect their environment, and ways to optimize application.

Prerequisites

No previous Hadoop knowledge is required, though will be useful. Basic knowledge of Python or Scala is required. Previous exposure to SQL is helpful, but not required. Students will need to bring their wi-fi enabled laptop pre-loaded with Chrome or Firefox browser in order to complete hands-on labs.

HDP Operations: Administration

This 2 day course is designed for administrators who will be managing the Hortonworks Data Platform (HDP) 2.5 with Ambari. It Covers installation, configuration, and other typical cluster management tasks.

Target Audience

IT administrators and operators responsible for installing, configuring, and supporting an HDP 2.5 deployment in a Linux environment using Ambari.

Prerequisites

No previous Hadoop knowledge is required, though will be useful. Attendees should be familiar with data center operations and Linux system administration. Students will need to bring their wi-fi enabled laptop pre-loaded with Chrome or Firefox browser in order to complete hands-on labs.

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HDP Operations: Security

This 2 day course is designed for system administrators and operators who need to manage secure HDP clusters. They will learn how to implement Kerberos, Apache Ranger, Apache Ambari, Apache Knox, SPNEGO, and other security concepts and tools to secure HDP clusters.

Target Audience

Systems administrators, operators, and security engineers that need to understand how to implement HDP security.

Prerequisites

Students must be familiar with distributed systems, basic networking, basic Linux commands. Prior Hadoop knowledge is helpful.

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HDP Real-Time Developer

This 2 day course is designed for developers who need to create real-time applications to ingest and process streaming data sources using Hortonworks Data Platform (HDP). Specific technologies covered includes: Apache Hadoop, Apache Kafka, Apache Storm & Trident, Apache Spark and Apache HBase. The highlight of the course is the custom workshop-styled labs that will allow participants to build complete streaming applications with Storm and Spark Streaming.

Target Audience

Developers and data engineers who need to understand and develop real-time and streaming applications on HDP.

Prerequisites

Students should be familiar with programming principles and have experience in software development. Java programming experience is required. SQL and light scripting knowledge is also helpful. No prior Hadoop knowledge is required.

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