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IBM - Certified Data Engineer – Big Data certification

Duration:

Only 2 Days

Method:

Classroom / Online / Hybrid

Next date:

24/6/2024 (Monday)

Overview

On this accelerated IBM Certified Data Engineer - Big Data course, you’ll learn how to develop, maintain, test and evaluate big data solutions and visual tools for analysis within your business. You’ll work with the data architect and developer to convert the architect’s big data vision and blueprint into reality.

In just 2 days, you’ll build knowledge on how to apply technologies to solve big data problems and to build large-scale data processing systems for the enterprise. You’ll also learn how to:

Address the information governance and security challenges associated with the data
Provide input on the needed hardware and software to the architects
Import streaming data into Hadoop using InfoSphere Streams and create Big SQL table definitions

At the end of this course, you’ll sit the IBM Certified Data Engineer - Big Data exam, and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware, learn from certified instructors, and train in a distraction-free environment.

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Benefits

Seven reasons why you should sit your course with Firebrand Training

Two options of training. Choose between residential classroom-based, or online courses
You'll be certified fast. With us, you’ll be trained in record time
Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals

* For residential training only. Doesn't apply for online courses
** Some exceptions apply. Please refer to the Exam Track or speak with our experts

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

Free Practice Test

Curriculum

Section 1: Software areas of central focus:

Module 1: BigInsights
Module 2: BigSQL
Module 3: Hadoop
Module 4: Cloudant (NoSQL)

Section 2: Software areas of peripheral focus:

Module 1: Information Server
Module 2: Integration with BigInsights, Balanced Optimisation for Hadoop, JAQL Push down capability, etc
Module 3: Data Governance
Module 4: Security features of BigInsights
Module 5: Information Server (MetaData Workbench for Lineage)
Module 6: Optim Integration with BigInsights (archival)
Module 7: DataClick for BigInsights (Future: DataClick for Cloudant - to pull operation data into Hadoop for Analytics - scripts available today)
Module 8: BigMatch (trying to get to a single view)
Module 9: Guardium (monitoring)
Module 10: Analytic Tools (SPSS)
Module 11: BigSheets
Module 12: Support in Hadoop/BigInsights
Module 13: Data Availability and Querying Support
Module 14: Streams
Module 15: Interface/Integration with BigInsights
Module 16: Streaming Data Concepts
Module 17: In memory analytics
Module 18: Netezza
Module 19: DB2 BLU
Module 20: Graph Databases
Module 21: Machine Learning (System ML)

Exam Track

As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

C2090-101: IBM Certified Data Engineer - Big Data exam

Exam code: C2090-101
Number of questions: 53
Duration: 75 minutes
Passing score: 34/53 (64%)
Format: Multiple-choice
Domains:

Data Loading (34%)
Data Security (8%)
Architecture and Integration (17%)
Performance and Scalability (15%)
Data Preparation, Transformation, and Export (26%)

What's Included

Your accelerated course includes:

Accommodation *
Meals, unlimited snacks, beverages, tea and coffee *
On-site exams **
Exam vouchers **
Practice tests **
Certification Guarantee ***
Courseware
Up-to 12 hours of instructor-led training each day
24-hour lab access
Digital courseware **

* For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
** Some exceptions apply. Please refer to the Exam Track or speak with our experts
*** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, IBM recommend you have knowledge in the following:

The data layer and particular areas of potential challenge/risk in the data layer
Translating functional requirements into technical specifications
Taking an overall solution/logical architecture and provide physical architecture
Cluster Management
Network Requirements
Important interfaces
Data Modeling
Identifying/supporting non-functional requirements for the solution
Latency
Scalability
High Availability
Data Replication and Synchronisation
Disaster Recovery
Overall performance (Query Performance, Workload Management, Database Tuning)
Propose recommended and/or best practices regarding the movement, manipulation, and storage of data in a big data solution (including, but not limited to:
Data ingestion technical options
Data storage options and ramifications (e.g., the additional requirements and challenges introduced by data in the cloud)
Data querying techniques & availability to support analytics
Data lineage and data governance
Data variety (social, machine data) and data volume
Data security to support implementation, including but not limited to:
- LDAP Security
- User Roles/Security
- Data Monitoring
- Personally Identifiable Information (PII) Data Security considerations

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.

"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))

"Had a great time meeting and networking with other people. A great teacher."
Pritpal Hundel, Computacenter. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"Our instructor was very knowledgeable and delivered the online course well. The labs are great for getting hands-on experience."
Anonymous. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"Great 4 days of in-person training. The trainer was knowledgeable and brought a wealth of real world examples to what would have been otherwise a very theoretical training course."
Ian Smith, DWP. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"I attended the CND course which was online-led. This course was delivered very well allowing me to develop my knowledge in the related topics. Despite being online, I felt involved and felt as if I could ask any questions at any time."
Molly Macuras, Electricity North West Limited. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

Course Dates

Start	Finish	Status	Location
19/2/2024 (Monday)	20/2/2024 (Tuesday)	Finished - Leave feedback	-
24/6/2024 (Monday)	25/6/2024 (Tuesday)	Wait list	Nationwide
5/8/2024 (Monday)	6/8/2024 (Tuesday)	Limited availability	Nationwide
16/9/2024 (Monday)	17/9/2024 (Tuesday)	Open	Nationwide
28/10/2024 (Monday)	29/10/2024 (Tuesday)	Open	Nationwide
9/12/2024 (Monday)	10/12/2024 (Tuesday)	Open	Nationwide