R$6.100

Curso Apache Hadoop Pig&Hive

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CETAX São Paulo

Brigadeiro Luís Antônio

Jardim Paulista

São Paulo, SP 01401000

Brazil

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Descrição

Apache Hadoop Pig & Hive

Treinamento oficial Hortonworks onde somos a primeira empresa no Brasil a ministrar esse curso. Curso para desenvolvedores e analistas em sistemas voltados para Big Data. Serão abordados os módulos Pig e Hive. Material em inglês. Curso ministrado em português.

This course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Pig and Hive. Topics include: Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core and Spark SQL.


TARGET AUDIENCE
Software developers who need to understand and develop applications for Hadoop.



O QUE IREI APRENDER?

  • Describe Hadoop, YARN and use cases forHadoop
  • Describe Hadoop ecosystem tools and frameworks
  • Describe the HDFS architecture
  • Use the Hadoop client to input data into HDFS
  • Transfer data between Hadoop and a relational database
  • Explain YARN and MapReduce architectures
  • Run a MapReduce job on YARN
  • Use Pig to explore and transform data in HDFS
  • Use Hive to explore Understand how Hive tables are defined and implemented and analyze data sets
  • Use the new Hive windowing functions
  • Explain and use the various Hive file formats
  • Create and populate a Hive table that uses ORC file formats
  • Use Hive to run SQL-like queries to perform data analysis
  • Use Hive to join datasets using a variety of techniques, including Map-side joins and Sort-Merge-Bucket joins
  • Write efficient Hive queries
  • Create ngrams and context ngrams using Hive
  • Perform data analytics like quantiles and page rank onBig Data using the DataFu Pig library
  • Explain the uses and purpose of HCatalog
  • Use HCatalog with Pig and Hive
  • Define a workflow using Oozie
  • Present the Spark ecosystem and high-level architecture
  • Perform data analysis with Spark’s Resilient Distributed Dataset API
  • Explore Spark SQL and the DataFrame API
  • Hands-On Labs
  • Use HDFS commands to add/remove files and folders
  • Use Sqoop to transfer data between HDFS and a RDBMS
  • Run MapReduce and YARN application jobs
  • Explore and transform data using Pig
  • Use Pig to transform and export a dataset for use with Hive
  • Use HCatLoader and HCatStorer
  • Use Hive to discover useful information in a dataset
  • Describe how Hive queries get executed as MapReduce jobs
  • Perform a join of two datasets with Hive
  • Use advanced Hive features: windowing, views, ORC files
  • Use Hive analytics functions
  • Write a custom reducer in Python
  • Analyze clickstream data and compute quantiles with DataFu
  • Use Hive to compute ngrams on Avro-formatted files
  • Define an Oozie workflow
  • Use Spark Core to read files and perform data analysis
  • Create and join DataFrames with Spark SQL


QUAL O DIFERENCIAL DA CETAX?


COFFEE-BREAK

Lanche durante o(s) intervalo(s) do curso.

AMBIENTE WIFI

Internet wireless gratuita (Leve seu Notebook).

KIT BOAS-VINDAS

Bloco de anotações; Caneta ou lapiseira.

MATERIAL DIDÁTICO

Apostila digital completa para estudo posterior.

CERTIFICADO

Certificação de aluno da TutorPro/Cetax.

ACESSO A PLATAFORMA

3 meses de acesso à plataforma de ensino.


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Data e hora

Localização

CETAX São Paulo

Brigadeiro Luís Antônio

Jardim Paulista

São Paulo, SP 01401000

Brazil

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