Logical Operations - Big Data Essentials Bootcamp

Overview

On this accelerated 3-day Big Data Essentials course, you'll learn the fundamentals of architecting and running Big Data systems.

You'll get the full hands-on experience with our unique Lecture | Lab | Review technique, which will immerse you in the curriculum, helping you gain an in-depth understanding of how to use best practices, tools and techniques essential in building modern-day Big Data applications.

Your expert instructors will take you through various applications such as Hadoop, NoSQL and Spark.

You'll learn to:

Master the best practices of Hadoop programming in Pig, Hive, and Java.
Enhance Big Data solutions for real-time data access with the help of NoSQL technologies, such as HBase and Cassandra.
Understand the difference of NoSQL data modeling in contrast to SQL data modeling.
Utilise Spark for interactive data analytics with Scala or SQL.
Implement near-real-time analytical processing with Spark Streaming.

You'll also have 24/7 lab access, which means you can test your skills in building successful Big Data systems whenever you want.

If you're a developer, architect or technical manager looking to implement and architect Big Data systems, this course is ideal for you.

Sehen Sie sich jetzt die Preise an, um herauszufinden, wie viel Sie sparen können, wenn Sie doppelt so schnell trainieren.

Preise anfordern

Benefits

In einem Firebrand Intensiv-Training profitieren Sie von folgenden Vorteilen:

Zwei Optionen - Präsenz- oder Onlinetraining
Ablenkungsfreie Lernumgebung
Eigene Trainings- und Prüfungszentren (Pearson VUE Select Partner)
Effektives Training mit praktischen Übungseinheiten und intensiver Betreuung durch unsere Trainer
Umfassendes Leistungspaket mit allem, was Sie benötigen, um Ihre Zertifizierung zu erhalten, inklusive unserer Firebrand Leistungsgarantie.

Machen Sie einen kostenlosen Praxistest, um Ihr Wissen einzuschätzen!

Kostenloser Übungstest

Curriculum

Lesson 1: Big Data Overview

Big Data
Big Data Use Cases
Designing a Big Data System
Technologies: Hadoop
Technologies: NoSQL
Analytics
Putting It All Together

Lesson 2: Hadoop Introduction

Introduction to Hadoop
The Future of Hadoop

Lesson 3: HDFS and MapReduce Primer

HDFS
MapReduce
YARN
Future of Hadoop Processing Engines

Lesson 4: Hive

Hadoopy, Hive, and SQL
Hive Design and Architecture
HiveQL
First Look at Hive
Hive Partitions
Hive Joins
Hive UDFs
Text Analytics with Hive

Lesson 5: Hive 2

Data Access
Feature Generation
Filter/Search/Transpose
Binning and Smoothing
Tez

Lesson 6: Pig

Understand Apache Pig
Pig Concepts/History
Pig by Example
Pig as an ETL Pipeline

Lesson 7: Hadoop Cluster Planning

Planning Hadoop Hardware
Planning Software Install

Lesson 8: Hadoop Install and Configure

Different Installation Configurations in Hadoop
Install Hadoop
Configure Hadoop Cluster
Common Configuration Properties
Making Installation and Configuration Easier
Hadoop Advanced Configuration

Lesson 9: Hadoop Data Ingest

Flume
Sqoop
REST
Import Best Practices

Lesson 10: NoSQL Intro

RDBMS and NoSQL
ACID in NoSQL
CAP Theorem
NoSQL Stores
Columnar Storage

Lesson 11: Cassandra Intro

Introduction & Architecture
Cassandra Use Cases
Data Organization
First Look at Cassandra
Replication & Consistency

Lesson 12: Cassandra Data Modeling 1

Keyspaces and Tables
CQL Queries
Indexing

Lesson 13: Cassandra Data Modeling 2

Collections
Composite Keys
Time Series Data
Counters
Lightweight Transactions

Lesson 14: Cassandra Data Modeling Labs

MyFlix (Netflix)
YouTube
Online Shopping (Amazon)
User Activity (Facebook)

Lesson 15: Scala Primer

Introduction
Collections
Functions/Methods
Class/Object/Trait

Lesson 16: Introduction to Spark

Introduction
Spark vs. Hadoop
A First Look at Spark

Lesson 17: Spark Data Model 1

Data Model Overview
RDD Concepts
Spark Workflow
Working with RDDs
Key-Value Pairs
Caching

Lesson 18: Spark Data Model 2

DataFrames
Working with DataFrames
Spark SQL
DataSet
Spark and Hive
Data Formats

Lesson 19: Spark API/Applications

Core API
Building and Running Applications
Application Lifecycle
Logging & Debugging

Lesson 20: Machine Learning Primer

Machine Learning Concepts
Machine Learning Vocabulary
Text Mining
Recommendations

Lesson 21: Spark Streaming

Streaming
Spark Streaming Overview
Architecture
Programming
Structured Streaming
Transformations
Apache Kafka

What's Included

On this course you'll receive official Big Data Essentials courseware.

Prerequisites

Before attending this course, you should be familiar with at least one programming language and be comfortable working with a command-line interface.

Sind Sie sich unsicher, ob Sie die Voraussetzungen erfüllen? Wir besprechen gerne mit Ihnen Ihren technischen Hintergrund, Erfahrung und Qualifikation, um herauszufinden, ob dieser Intensivkurs der richtige für Sie ist.

Erfahrungsberichte

Bereits 134561 Kursteilnehmer haben seit 2001 erfolgreich einen Firebrand-Kurs absolviert. Unsere aktuellen Kundenbefragungen ergeben: Bei 96.41% unserer Teilnehmer wurde die Erwartungshaltung durch Firebrand übertroffen!

"The instructor demonstrated a high level of professionalism throughout the training sessions, maintaining interactivity and providing valuable insights essential for exam preparation. Group discussions were effectively facilitated, with the trainer strategically assigning participants to groups, fostering fruitful discussions, and subsequently presenting key points to the entire team. The course, organized by Firebrand, exhibited a well-structured curriculum that logically unfolded over the two-day training period. This thoughtful arrangement contributed to a cohesive learning experience. Furthermore, the trainer cultivated a supportive atmosphere conducive to active participation, encouraging questions and fostering meaningful discussions among participants. This approach significantly enhanced the overall quality of the training sessions."
Ryan Lopes, Volkswagen. (11.1.2024 (Donnerstag) bis 12.1.2024 (Freitag))

"Stark komprimiertes Wissen, exzellent vermittelt mit freundlichem Service."
A. R. , NCR. (18.12.2023 (Montag) bis 21.12.2023 (Donnerstag))

"Dies war mein 4. Mal. Für mich ein optimales Konzept!"
n.n.. (18.12.2023 (Montag) bis 20.12.2023 (Mittwoch))

"Very good and intense training to get ready for PMP Certification."
Anonymous. (11.12.2023 (Montag) bis 15.12.2023 (Freitag))

Kurstermine

Start	Ende	Verfügbarkeit	Standort
19.2.2024 (Montag)	21.2.2024 (Mittwoch)	Kurs gelaufen - Hinterlasse Kommentar	-
24.6.2024 (Montag)	26.6.2024 (Mittwoch)	Warteliste	Überregional
5.8.2024 (Montag)	7.8.2024 (Mittwoch)	Einige Plätze frei	Überregional
16.9.2024 (Montag)	18.9.2024 (Mittwoch)	Einige Plätze frei	Überregional
28.10.2024 (Montag)	30.10.2024 (Mittwoch)	Einige Plätze frei	Überregional
9.12.2024 (Montag)	11.12.2024 (Mittwoch)	Einige Plätze frei	Überregional