IBM - Certified Data Engineer – Big Data certification

Duration

Duration:

Just 2 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

10/2/2025 (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.

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001

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:
    1. Data Loading (34%)
    2. Data Security (8%)
    3. Architecture and Integration (17%)
    4. Performance and Scalability (15%)
    5. 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

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call (0)8 44 68 27 85 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
94,91% have said Firebrand exceeded their expectations:

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

"All the staff are very attentive. A fantastic instructor that was able to answer all questions whilst keeping the sessions informative."
Ash Petch, Cepac. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

"My experience at Firebrand was brilliant. The people here are nice and approachable among the other apprentices of whom also are very nice and made great friends here too! I am looking forward to my next 2 trips here!"
Lewis Vick, Computacenter. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

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