Building Batch Data Analytics Solutions on AWS


In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Building Batch Data Analytics Solutions on AWS

aktuelle Kurs-Termine finden Sie am Ende dieser Seite … Firmenschulungen gerne auf Anfrage!

Beschreibung

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Kursziele

Was Sie in diesem Kurs lernen:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Zielgruppe

Dieser Kurs ist konzipiert für:

  • Data platform engineers
  • Architects and operators who build and manage data analytics pipelines

Voraussetzungen

Wir empfehlen, dass die Teilnehmer dieses Kurses über folgende Kenntnisse verfügen:

Lehrmethode

Dieser Kurs setzt sich zusammen aus:

  • Schulung mit Kursleiter
  • Praktische Übungen

Kursdauer / Preis

  • 1 Tag / € 795,00 zzgl. Mwst. pro Person

Kursinhalt

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Module 1: Introduction to Amazon EMR

  • Using Amazon EMR in analytics solutions
  • Amazon EMR cluster architecture
  • Interactive Demo 1: Launching an Amazon EMR cluster
  • Cost management strategies

Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage

  • Storage optimization with Amazon EMR
  • Data ingestion techniques

Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR

  • Apache Spark on Amazon EMR use cases
  • Why Apache Spark on Amazon EMR
  • Spark concepts
  • Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
  • Transformation, processing, and analytics
  • Using notebooks with Amazon EMR
  • Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR

Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive

  • Using Amazon EMR with Hive to process batch data
  • Transformation, processing, and analytics
  • Practice Lab 2: Batch data processing using Amazon EMR with Hive
  • Introduction to Apache HBase on Amazon EMR

Module 5: Serverless Data Processing

  • Serverless data processing, transformation, and analytics
  • Using AWS Glue with Amazon EMR workloads
  • Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions

Module 6: Security and Monitoring of Amazon EMR Clusters

  • Securing EMR clusters
  • Interactive Demo 3: Client-side encryption with EMRFS
  • Monitoring and troubleshooting Amazon EMR clusters
  • Demo: Reviewing Apache Spark cluster history

Module 7: Designing Batch Data Analytics Solutions

  • Batch data analytics use cases
  • Activity: Designing a batch data analytics workflow

Module B: Developing Modern Data Architectures on AWS

  •  Modern data architectures

WICHTIG: Bitte bringen Sie zu unseren Trainings Ihr Notebook (Windows, Linux oder Mac) mit. Wenn dies nicht möglich ist, nehmen Sie bitte mit uns vorher Kontakt auf.

Kursunterlagen sind in englischer Sprache, Kurssprache des Trainers ist deutsch.

Die nächsten Termine für: Building Batch Data Analytics Solutions on AWS


DatumKursPreis pro TN
28.03.2023 Building Batch Data Analytics Solutions on AWS
Online in - Virtual Classroom
795,00 € zzgl. MwSt.Buchen
28.03.2023 Building Batch Data Analytics Solutions on AWS
Esplanade 6 (5. Etage) in 20354 Hamburg
795,00 € zzgl. MwSt.Buchen
11.09.2023 Building Batch Data Analytics Solutions on AWS
Online in - Virtual Classroom
795,00 € zzgl. MwSt.Buchen

Kontakt

  • +43 720 34 36 11 (AT)

  • +41 415 41 16 60 (CH)

  • +49 511 590 95950 (International)

Standorte

Duisburg
Bismarckstraße 142
47057 Duisburg
Frankfurt am Main
Hamburger Allee 45
60486 Frankfurt am Main
Hamburg
Ballindamm 7
20095 Hamburg
Hannover
Vahrenwalder Str. 156
30165 Hannover
München
c/o Unicorn Workspaces
Rosenheimer Strasse 116
81669 München
Lissabon (PT)
Armazém 114
Rocha Conde d’Óbidos
1350-352 Lisboa
Portugal
Luzern (CH)
Hirschengraben 33
6003 Luzern
Switzerland
Wien (AT)
Ungargasse 37
1030 Wien
Austria

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