Cloudera CCA Spark and Hadoop Developer Certification - Slechts 3 dagen

Waarom

Zeven redenen waarom jij voor jouw CCA cursus voor Firebrand kiest:

Bekijk deze video en zie waarom je met Firebrand geld en tijd bespaart

  1. Jij zal in slechts 3 dagen CCA getrained zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
  2. Onze CCA cursus is all-inclusive. Cursusmaterialen, accommodatie en maaltijden zijn inbegrepen.
  3. Slaag de eerste keer voor CCA of train gratis opnieuw. Vraag naar de voorwaarden van onze certificeringsgarantie bij onze Education Consultants.
  4. Je zal meer over CCA leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!

  5. Je zal CCA sneller beheersen. Doordat onze cursussen residentieel zijn word je in korte tijd ondergedompeld in de theorie. Hierdoor zal je volledig gefocust zijn op de cursus en zal je sneller de theorie en praktijk beheersen.
  6. Je zal voor CCA studeren bij de beste training provider. Firebrand heeft het Q-For kwaliteitlabel, waarmee onze standaarden en professionaliteit op het gebied van training erkend worden. We hebben inmiddels 67.286 professionals getraind en gecertificeerd!
  7. Je gaat meer doen dan alleen de cursusstof van CCA bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat jij jouw nieuwe kennis direct in jouw werkomgeving kan toepassen.

Denk jij klaar te zijn voor deze opleiding? Doe een GRATIS oefentest om je kennis te testen!

Wat

Learn how to import data into an Apache Hadoop cluster and process it using modern data analysis tools like Spark, Flume, Hive, Impala, Sqoop and more – in just 3 days.

On this accelerated CCA Spark and Hadoop Developer course, you’ll identify which data analysis tools to use in a given situation and gain hands-on development experience using those tools.

Experience Firebrand’s Lecture | Lab | Review methodology as you prepare for the real world challenges faced by Hadoop developers. You’ll learn:

  • How data is distributed, stored, and processed in a Hadoop cluster
  • Data distribution in Apache Spark
  • How to use Sqoop and Flume to ingest and model data as tables

You’ll also learn how to choose the best data storage format and study best practices for data storage.

Plus, you’ll sit the CCA Spark and Hadoop Developer exam (CCA175) during your accelerated course. This exam is covered by your Certification Guarantee.  

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Introduction

  • Introduction to Hadoop and the Hadoop Ecosystem
  • Problems with traditional large scale systems
  • Hadoop!
  • Data storage and ingest
  • Data processing
  • Data analysis and exploration
  • Other ecosystem tools
  • Introduction to the hands-on exercises

Hadoop architecture and HDFS

  • Distributed processing on a cluster
  • Storage:
    • HDFS architecture
    • Using HDFS
  • Resource management:
    • YARN architecture
    • Working with YARN

Importing relational data with Apache Sqoop

  • Sqoop overview
  • Basic imports and exports
  • Limiting results
  • Improving Sqoop’s performance
  • Sqoop 2

Introduction to Impala and Hive

  • Introduction to Impala and Hive
  • Why use Impala and Hive?
  • Querying data With Impala and Hive
  • Comparing Hive and Impala to traditional databases

Modelling and managing data with Impala and Hive

  • Data storage overview
  • Creating databases and tables
  • Loading data into tables
  • HCatalog
  • Impala metadata caching

Data formats

  • Selecting a file format
  • Hadoop tool support for file formats
  • Avro schemas
  • Using Avro with Impala, Hive and Sqoop
  • Avro schema evolution
  • Compression

Data file partitioning

  • Partitioning overview
  • Partitioning in Impala and Hive
  • Capturing data with Apache Flume
  • What is Apache Flume?
  • Basic Flume architecture:
    • Flume sources
    • Flume sinks
    • Flume channels
    • Flume configuration

Spark basics

  • What is Apache Spark?
  • Using the Spark Shell
  • RDDs (Resilient Distributed Datasets)
  • Functional programming in Spark

Working with RDDs in Spark

  • Creating RDDs
  • Other general RDD operations

Writing and deploying Spark applications

  • Spark applications vs Spark Shell
  • Creating the SparkContext
  • Building a Spark application (Scala and Java)
  • Running a Spark application
  • The Spark application web UI
  • Configuring Spark properties
  • Logging

Parallel processing in Spark

  • Review: Spark on a Cluster
  • RDD partitions
  • Partitioning of File-based RDDs
  • HDFS and data locality
  • Executing parallel operations
  • Stages and tasks

Spark RDD persistence

  • RDD Lineage
  • RDD persistence overview
  • Distributed persistence
  • Common patterns in spark data processing
  • Common Spark use cases
  • Iterative algorithms in Spark
  • Graph processing and analysis
  • Machine learning
  • Example: k-means

DataFrames and Spark SQL

  • Spark SQL and the SQL context
  • Creating DataFrames
  • Transforming and querying DataFrames
  • Saving DataFrames
  • DataFrames and RDDs
  • Comparing Spark SQL, Impala, and Hive-on-Spark

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You'll sit the following exam at the Firebrand Training Centre, covered by your Certification Guarantee:

  • CCA175 - CCA Spark and Hadoop Developer Exam

Additional details:

  • Number of questions: 10-12 performance-based (hands-on) tasks on a CDH5 cluster
  • Time limit: 120 minutes
  • Passing score: 70%

For each CCA question you must solve a particular scenario. You will be required to use tools like Hive and Impala, as well as coding in Scala or Python.

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You should be a developer/engineer with programming experience in Scala or Python. Basic knowledge of Linux command line and SQL is also recommended.

Prior experience with Hadoop is not required for this accelerated course.

Weet je niet zeker of je voldoet aan de vereisten?

Firebrand levert in een afleidingsvrije omgeving waardoor je je volledig kan focussen op de te bestuderen materie. We bespreken graag jouw technische achtergrond, ervaring en kwalificaties om vast te stellen of deze versnelde cursus voor jou geschikt is.

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Wanneer

Wanneer wilt u deelnemen aan een versnelde opleiding?

Start datum

Eind datum

Status

Locatie

Nu boeken

19/2/2018 (Maandag)

21/2/2018 (Woensdag)

Beëindigde cursus

-

 

25/6/2018 (Maandag)

27/6/2018 (Woensdag)

Wachtlijst

Landelijk

 

6/8/2018 (Maandag)

8/8/2018 (Woensdag)

Beperkte beschikbaarheid

Landelijk

 

17/9/2018 (Maandag)

19/9/2018 (Woensdag)

Open

Landelijk

 

29/10/2018 (Maandag)

31/10/2018 (Woensdag)

Open

Landelijk

 

10/12/2018 (Maandag)

12/12/2018 (Woensdag)

Open

Landelijk

 

Beoordelingen

Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 67.286 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.67% ons te beoordelen als 'boven verwachting'


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Anoniem - EC-Council Certified Ethical Hacker (CEH) (5 Dagen) (11/6/2018 t/m 15/6/2018)

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Christian Lux, QAD. - Project Management Institute (PMI)® Project Management Professional (PMP)® Certificering (5 Dagen) (28/5/2018 t/m 1/6/2018)

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