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Cloudera - CCA Data Analyst
Overview
On this accelerated 2-day Cloudera CCA Data Analyst course, you'll get the skills you need to apply traditional data analytics and business intelligence skills to big data.
Your expert instructor will introduce you to the tools and techniques you need to access, manipulate, transform, and analyse complex data sets using SQL and familiar scripting languages.
You'll learn topics such as:
- The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysis
- The fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop
- How Pig, Hive, and Impala improve productivity for typical analysis tasks
- Joining diverse datasets to gain valuable business insight
- Performing real-time, complex queries on datasets
Access to 24/7 labs means that you can test your hands-on skills in navigating the Hadoop ecosystem whenever you like. Through our unique Lecture | Lab | Review technique, you'll gain Apache Hadoop skills faster.
On this course, you'll prepare for and sit the CCA Data Analyst exam, covered by your Certification Gurantee.
If you're a data analyst, business intelligence specialist, developer, system architect or database administrator, this course is ideal for you.
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Zeven redenen waarom jij voor jouw CCA Data Analyst cursus voor Firebrand kiest:
- Jij zal in slechts 3 dagen CCA Data Analyst gecertificeerd zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
- Onze CCA Data Analyst cursus is all-inclusive. Cursusmaterialen, examens, accommodatie en maaltijden zijn inbegrepen.
- Slaag de eerste keer voor CCA Data Analyst of train gratis opnieuw.Op basis van onze certificeringsgarantie kun je voor het geval je de eerste keer niet slaagt binnen een jaar terugkomen en opnieuw trainen. Je betaalt dan alleen voor accommodatie en examens. De andere kosten zijn inbegrepen.
- Je zal meer over CCA Data Analyst leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!
- Je zal CCA Data Analyst 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.
- Je zal voor CCA Data Analyst 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 75867 professionals getraind en gecertificeerd!
- Je gaat meer doen dan alleen de cursusstof van CCA Data Analyst 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.
Benefits
Curriculum
Introduction Apache Hadoop Fundamentals
- The Motivation for Hadoop
- Hadoop Overview
- Data Storage: HDFS
- Distributed Data Processing: YARN, MapReduce, and Spark
- Data Processing and Analysis: Pig, Hive, and Impala
- Database Integration: Sqoop
- Other Hadoop Data Tools
- Exercise Scenarios
Introduction to Apache Pig
- What is Pig?
- Pig's Features
- Pig Use Cases
- Interacting with Pig
Basic Data Analysis with Apache Pig
- Pig Latin Syntax
- Loading Data
- Simple Data Types
- Field Definitions
- Data Output
- Viewing the Schema
- Filtering and Sorting Data
- Commonly Used Functions
Processing Complex Data with Apache Pig
- Storage Formats
- Complex/Nested Data Types
- Grouping
- Built-In Functions for Complex Data
- Iterating Grouped Data
Multi-Dataset Operations with Apache Pig
- Techniques for Combining Datasets
- Joining Datasets in Pig
- Set Operations
- Splitting Datasets
Apache Pig Troubleshooting and Optimisation
- Troubleshooting Pig
- Logging
- Using Hadoop's Web UI
- Data Sampling and Debugging
- Performance Overview
- Understanding the Execution Plan
- Tips for Improving the Performance of Pig Jobs
Introduction to Apache Hive and Impala
- What is Hive?
- What is Impala?
- Why Use Hive and Impala?
- Schema and Data Storage
- Comparing Hive and Impala to Traditional Databases
- Use Cases
Querying with Apache Hive and Impala
- Databases and Tables
- Basic Hive and Impala Query Language Syntax
- Data Types
- Using Hue to Execute Queries
- Using Beeline (Hive's Shell)
- Using the Impala Shell
Apache Hive and Impala Data Management
- Data Storage
- Creating Databases and Tables
- Loading Data
- Altering Databases and Tables
- Simplifying Queries with Views
- Storing Query Results
Data Storage and Performance
- Partitioning Tables
- Loading Data into Partitioned Tables
- When to Use Partitioning
- Choosing a File Format
- Using Avro and Parquet File Formats
Relational Data Analysis with Apache Hive and Impala
- Joining Datasets
- Common Built-In Functions
- Aggregation and Windowing
Complex Data with Apache Hive and Impala
- Complex Data with Hive
- Complex Data with Impala
Analysing Text with Apache Hive and Impala
- Using Regular Expressions with
- Hive and Impala
- Processing Text Data with SerDes in Hive
- Sentiment Analysis and n-grams in Hive
Apache Hive Optimisation
- Understanding Query Performance
- Bucketing
- Indexing Data
- Hive on Spark
Apache Impala Optimisation
- How Impala Executes Queries
- Improving Impala Performance
Extending Apache Hive and Impala
- Custom SerDes and File Formats in Hive
- Data Transformation with
- Custom Scripts in Hive
- User-Defined Functions
- Parameterised Queries
Choosing the Best Tool for the Job
- Comparing Pig, Hive, Impala, and Relational Databases
Exam Track
On this course, you'll prepare for and take the following exam at the Firebrand Training centre, covered by your Certification Guarantee.
CCA Data Analyst Exam (CCA159)
- Number of questions: 8-12
- Format: performance-based
- Duration: 120 minutes
- Passing Score: 70%
What's Included
On this course, you'll receive:
- Official Cloudera Data Analyst courseware
Prerequisites
Before attending this course, you should have knowledge of:
- SQL
- Linux command line
- At least one scripting language (e.g., Bash scripting, Perl, Python, Ruby).
You don't need to have experience in Apache Hadoop.
Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.
Beoordelingen
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 75867 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.75% ons te beoordelen als 'boven verwachting'
"With the training I got the necessary basis and direction and on how to approach the preparation for the CISA exam.
I recommend to CISA candidates to first follow a training by Firebrand."
Anoniem, Rodriguez AertsFinancial Consultancy (11/5/2020 (Maandag) t/m 14/5/2020 (Donderdag))
"I wanted to learn more about Scrum, how to implement it in a company, how to act agile, but I have received so much more. The teacher did way more than just giving his course, he listened to us, thought with us, and really helped us move forward, both towards the exam as to how to implement it in real companies. The feedback did not end after the session, but the teacher has really put his time into helping us achieve our goal, and to gather even more knowledge than I thought I would."
Chiel Tondeleir, Digital Competitive. (4/4/2020 (Zaterdag) t/m 5/4/2020 (Zondag))
"The bootcamp formula and excellent instructor provide a perfect training environment. "
Anoniem (9/3/2020 (Maandag) t/m 14/3/2020 (Zaterdag))
"Goed, duidelijk op maat "
Anoniem, Bentacera (9/3/2020 (Maandag) t/m 11/3/2020 (Woensdag))
"Good organisation, pleasant environment "
Anoniem, Divitel (9/3/2020 (Maandag) t/m 11/3/2020 (Woensdag))
Cloudera CCA Data Analyst Cursusdata
|
Start datum |
Eind datum |
Status |
Locatie |
Nu boeken |
|---|---|---|---|---|
|
25/5/2020 (Maandag) |
27/5/2020 (Woensdag) |
Beëindigde cursus |
- |
|
|
28/9/2020 (Maandag) |
30/9/2020 (Woensdag) |
Wachtlijst |
Landelijk |
|
|
9/11/2020 (Maandag) |
11/11/2020 (Woensdag) |
Beperkte beschikbaarheid |
Landelijk |
|
|
21/12/2020 (Maandag) |
23/12/2020 (Woensdag) |
Open |
Landelijk |
|
|
1/2/2021 (Maandag) |
3/2/2021 (Woensdag) |
Open |
Landelijk |
|
|
15/3/2021 (Maandag) |
17/3/2021 (Woensdag) |
Open |
Landelijk |
|