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Duration
1 Day
TYPE
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Classroom ILT
LEARNING PATH
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R6 100,00
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Introduction
The Big Data Foundation certification is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems, an overview of data mining and the tools used in it. The CCC Cloud Certification Program is a vendor-neutral certification program in the Big Data domain. The program has been developed by the Big Data experts
This is a 2-day fundamental course with practical, hands-on, exercises to experience using two of the most popular technologies in big data processing – Hadoop and MongoDB. Students will get the opportunity to practice installing these two technologies through lab exercises. The course also exposes students to real-life big data technologies with the purpose of obtaining results from real datasets, including major social media platforms.
After completing the course, students will be equipped with fundamental big data knowledge, and introduced to a working development environment containing Hadoop and MongoDB, installed by them. This practical knowledge can be used as a starting point in the journey into big data.
Audience profile
This course is intended for IT Professionals who possess intermediate to advanced programming, system administration or relational database skills and are looking to move into the area of big data. This includes, but is not limited to:
- Data Analysts and Scientists
- Accounting Managers
- Application Developers
- Business Analysts
- CXO’s, Board Members, & Business Operation Heads
- R&D Department Managers
- Finance Specialists
- IT Architects
- Marketing Experts
- Software Engineers
- System Administrators
- Technology Enthusiasts
- Technical Recruiters
- Technical Support Specialists
Pre-requisites
This course has no formal prerequisites; however, it is recommended that students have intermediate to advanced programming, system administration or a basic understanding of relational database skills.
Course objectives
After completing this course, students will be able to:
- Explain Big Data, its origin, and its characteristics
- Discuss about the tools applicable to Big Data processing
- Explain data mining
- Discuss the popular Big Data technologies – Hadoop and MongoDB
- Discuss the Big Data projects and the main players involved
- Explain Big Data and its origin and characteristics
- Explain the tools for Big Data processing
- Discuss how Big Data is used to solve real life business problems
- Explain how Big Data affects privacy and what the ethical considerations are in respect to Big Data
- Identify various types of Big Data sources
- Explain how to access the Big Data sources
- Demonstrate how to obtain data from these sources
- Explain what is data mining
- Explain some of the common types of data mining
- Name the most popular open-source tools used in data mining
- Install and configure Hadoop
- Explain MapReduce and create data models based on it
- Run queries in Hadoop using MapReduce
- Explain document databases
- Install and Configure MongoDB
- Create data models in document databases
- Load data and run queries in MongoDB
Course content
Module 1: Course Introduction | |
Module 2: Big Data Fundamentals | |
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Module 3: Big Data Sources | |
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Module 4: Data Mining – Concepts and Tools | |
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Module 5: Big Data Technologies – Hadoop | |
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Module 6: Big Data Technologies – MongoDB | |
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Associated certifications and exam
This course will prepare delegates to write the Cloud Credential Council (CCC) Big Data Foundation (BDF) exam.
Upon successful completion of this course, delegates will receive a Torque IT course attendance certificate.
Exam Details | BDF |
Exam Title | Big Data Foundation |
Number of Questions/Practical Challenges | 40 Questions |
Test Duration | 1 Hour (15 minutes additional for non-native English Speakers) |
Test Format | Multiple-choice questions (Closed book) |
Test Delivery | Exin (Online) |
Availability | Remote Proctoring Services |
Passing Score | 65% |
Preparing using a mock exam
- Certification courses include a mock exam. You can download the mock exam from your dashboard. Free self-study eBooks do not include an exam.
Accessing your certificate
- All certificates and badges are issues through Accredible. You will receive an email with your download link in the days following your exam.
Because of the rapidly expanding need for Cloud Training and Certification, Torque IT has embarked onto a new and exciting growth phase that will further cement the organizations position as the leading Training, Enablement and Certification solutions provider in our market. As part of this strategy, Torque IT has achieved the status of Accredited Training Partner with the Cloud Credential Council. This allows us to further broaden our training capability and scope to deliver on a spectrum of technologies through a variety of delivery methods.
The Cloud Credential Council (CCC) is an international member-based organization mandated to drive cloud readiness through effective competence development. The CCC has established critical cloud certifications for key IT roles in order to cultivate cloud-ready IT professionals. As an independent and vendor neutral certification body, the CCC has an expanding list of members consisting of public sector and academic institutions, cloud service providers, cloud users, cloud training providers, professional associations and international certification bodies across the world.
The Cloud Credential Council portfolio offers certifications which speak to Cloud Computing, Big Data as well as the Internet of Things (IoT). The move into more digitally transformed organisations has seen an immense growth in cloud computing and big data, and the growth in the amount of devices which are now connected to the internet has given organisations an opportunity to look at different business models and processes, while also allowing then to reduce costs. The CCC welcomes businesses to the digital revolution by helping them transform through their vendor-neutral certifications aimed at IT Professionals.