Big Data Overview Training in Paterson
Enroll in or hire us to teach our Big Data Overview class in Paterson, New Jersey by calling us @303.377.6176. Like all HSG
classes, Big Data Overview may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it
is scheduled: Public Training Classes
Provided there are enough attendees, Big Data Overview may be taught at one of our local training facilities.
|
We offer private customized training for groups of 3 or more attendees.
|
||
Course Description |
||
| We all know - Big Data is here in a Big way. However, processing that data can still be a Big challenge. This course provides an in-depth overview of the choices you have in processing Big Data. It provides an introduction to what Big Data is, the types of data you might have, approaches to working on and processing the data, and the capabilities, strengths, and weaknesses of those approaches. After taking this course, you will have a clear understanding of what Big Data is and of the various types of data you may encounter. You will know different techniques and technologies for working with your data, where those technologies are a good fit, and where they are not. You will be well prepared for evaluating what approach is best suited for your needs.
Course Length: 1 Days
Course Tuition: $495 (US) |
||
Prerequisites |
|
| Some knowledge of databases and data processing is useful, but not required. | |
Course Outline |
|
Section 1: Understanding Big Data
Big Data Characteristics
Relational Model Overview
Working with Big Data
Data Consistency and CAP
Session 2: NewSQL Databases
NewSQL Overview
Product Overviews
Summary
Session 3: NoSQL Overview
Differences from Relational Model
Types of NoSQL Stores
Document Data Model
Graph Data Model
Key/Value
Wide Columnar
Hadoop
Session 4: Hadoop and MapReduce
Overview
HDFS
YARN
MapReduce
Summary
Session 5: Other Processing Technologies
Apache Pig and Hive
Apache Impala
Apache Storm
Apache Spark
Session 6: MongoDB
Overview and Architecture
Summary of Strenghts/Weaknesses
Session 7: Cassandra Database
Overview and Architecture
Summary of Strenghts/Weaknesses
Session 8: Other Databases and Tools
HBase
Neo4j
|
Course Directory [training on all levels]
Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
- .NET Classes
- Agile/Scrum Classes
- Ajax Classes
- Android and iPhone Programming Classes
- Blaze Advisor Classes
- C Programming Classes
- C# Programming Classes
- C++ Programming Classes
- Cisco Classes
- Cloud Classes
- CompTIA Classes
- Crystal Reports Classes
- Design Patterns Classes
- DevOps Classes
- Foundations of Web Design & Web Authoring Classes
- Git, Jira, Wicket, Gradle, Tableau Classes
- IBM Classes
- Java Programming Classes
- JBoss Administration Classes
- JUnit, TDD, CPTC, Web Penetration Classes
- Linux Unix Classes
- Machine Learning Classes
- Microsoft Classes
- Microsoft Development Classes
- Microsoft SQL Server Classes
- Microsoft Team Foundation Server Classes
- Microsoft Windows Server Classes
- Oracle, MySQL, Cassandra, Hadoop Database Classes
- Perl Programming Classes
- Python Programming Classes
- Ruby Programming Classes
- Security Classes
- SharePoint Classes
- SOA Classes
- Tcl, Awk, Bash, Shell Classes
- UML Classes
- VMWare Classes
- Web Development Classes
- Web Services Classes
- Weblogic Administration Classes
- XML Classes
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.
- Ruby on Rails
5 December, 2024 - 6 December, 2024 - Introduction to C++ for Absolute Beginners
16 December, 2024 - 17 December, 2024 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
2 December, 2024 - 5 December, 2024 - VMware vSphere 8.0 Boot Camp
9 December, 2024 - 13 December, 2024 - VMware vSphere 8.0 with ESXi and vCenter
9 December, 2024 - 13 December, 2024 - See our complete public course listing
Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.
