Big data is a change agent that challenges the ways in which organizational leaders have traditionally made decisions. This course provides participants with the conﬁdence to store, process, analyze and present big data use cases within their organizations. This course provides a multitude of hands-on labs with Spark, a key big data technology used to solve data intensive problems. Participants will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. Lastly, participants will work through advanced machine learning and deep learning use cases.

This is our most advanced course in our big data series following Certified Big Data and Data Analytics Practitioner (CBDDAP) and Certificate in Big Data Fundamentals (CBDF). Participants will aim to identify areas within their organization that can be improved through big data use cases, and work on an individual chosen data project during the course. By the end of the course, participants will be able to work through multiple methods and practical approaches to leverage Spark for advanced big data analytics.

Course Methodology

This course will be highly technical with group discussions, hands-on practical exercises, and group activities being the core focus.

Course Objectives

By the end of the course, participants will be able to:

Understand key big data technologies, including a deep dive into Apache Spark
Describe the main challenges and advantages of Hadoop map-reduce
Demonstrate and discuss key technologies for big data storage and compute, such as PostgreSQL and object storage
Discuss popular machine learning algorithms, deep learning techniques and the importance of ethics in data analytics and artiﬁcial intelligence
Deliver a presentation demonstrating the analytics lifecycle and Spark

Target Audience

This is an advanced level course. It is expected that participants either have a number of years of experience utilizing big data, or have previously attended the Certified Big Data and Data Analytics Practitioner (CBDDAP) course. This course is ideal for data engineers, AI engineers and data scientists. Recommended pre-knowledge includes some python programming experience and data visualization practice.

Target Competencies

Big data utilization
Big data analytics structures and technologies
Ethics and integrity for big data and AI development
Big data storage
Apache Spark best practices

Benefits

Why attend this seminar

Build current, practical knowledge in data management and business intelligence.
Translate the course ideas into actions you can use immediately at work.
Review real schedule options across 12 venues and live dates.
Connect course detail, venue, and category routes in one workflow.

Methodology

How the course is delivered

Structured seminar input and guided discussion.
Applied examples using current business situations.
Focused explanations based on the stored overview and outline.
Clear next steps for implementation after the course.

Target audience

Who this is for

Professionals responsible for data management and business intelligence.
Managers, specialists, and team leads who need applied skills.
Participants looking for a focused route into Certificate in Advanced Big Data and Data Analytics (CABDDA).

Seminar details

Detailed outline

Big Data Analytics Use Cases

How can big data projects meet organizational needs
Big data examples:
Netﬂix
LinkedIn
Facebook
Google
Orbitz
Dell
Others
Best practices in project design
Assessing the current state of your organization
Choosing datasets for course projects

Storing Big Data

Big data architectures and paradigms
The Hadoop Ecosystem
Overview of Hadoop
Hadoop Distributed File System (HDFS)
Massively parallel processing (MPP) versus distributed in-memory applications
RDBMSs vs NoSQL DBs
PostgreSQL
MongoDB
Cassandra
Streaming data
Data-warehousing versus Data Mart
Intro to Apache Spark
Big data SQL hands-on-labs

Computing Big Data

How to access big data
Role of cloud computing
Data movement risk
Networking and co-location
Apache Spark lab
Big data extract, transform, load (ETL) big data compute technologies
Distributed compute
High performance clusters vs Apache Spark
Streaming: Storm, Spark structured streaming
Apache Spark ETL labs
Apache Spark data engineering

Big Data Advanced Analytics and AI

Analytics Lifecycle
Apache Spark vs Pandas
Big data machine learning & deep learning in Spark
Importance of ethics in AI
Automl & Hyperparameter tuning

Course Big Data Projects

Identify analytical opportunities in an organization
Deﬁne and assess the problem
Describe the impact and use of data to address the problem
Identify potential data sources
Design a data analytics project
Access, explore, analyze and visualize chosen dataset for project
Present project insights in course

Dates and locations

Available seminar dates

8 dates

Date	Duration	Price
18 - 22 May 2026	5 Days	€3,850.-	Book now
22 - 26 June 2026	5 Days	€3,250.-	Book now
13 - 17 July 2026	5 Days	€4,250.-	Book now
17 - 21 August 2026	5 Days	€2,250.-	Book now
21 - 25 September 2026	5 Days	€3,850.-	Book now
19 - 23 October 2026	5 Days	€4,200.-	Book now
2 - 6 November 2026	5 Days	€3,450.-	Book now
21 - 25 December 2026	5 Days	€4,250.-	Book now

Date	Duration	Price
18 - 22 May 2026	5 Days	€1,850.-	Book now
22 - 26 June 2026	5 Days	€1,850.-	Book now
13 - 17 July 2026	5 Days	€1,850.-	Book now
17 - 21 August 2026	5 Days	€1,850.-	Book now
21 - 25 September 2026	5 Days	€1,850.-	Book now
19 - 23 October 2026	5 Days	€1,850.-	Book now
2 - 6 November 2026	5 Days	€1,850.-	Book now
21 - 25 December 2026	5 Days	€1,850.-	Book now

Course certificate

Certificate awarded on completion

Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.

Participants receive an INFORAMTECH certificate for completing Certificate in Advanced Big Data and Data Analytics (CABDDA).
The certificate recognises attendance and successful participation in the seminar.
It can support professional development records within data management and business intelligence and related functions.

Verify a certificate

Information about

Frequently asked questions

When is my seat confirmed?

Your seat is confirmed once full payment has been received.

Do you offer group discounts?

Yes, we offer the following discounts for group bookings:

2 participants: 20% discount
3 participants: 35% discount
5 or more participants: 50% discount

Can discounts be combined with other offers?

No, discounts cannot be combined unless explicitly stated.

What payment methods do you accept?

We accept bank transfers, credit/debit cards, and selected online payment methods.

When do I need to pay?

Full payment must be completed before the course start date to secure your participation.

Is VAT included in the course fee?

VAT treatment depends on your location and status:

EU Companies (with valid VAT number): VAT may be reverse charged (0%)
EU Individuals (without VAT number): VAT is applicable based on local regulations
Non-EU Participants: VAT is generally not applicable (0%)

Can I get a VAT invoice?

Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.

Can I cancel my registration?

Yes, cancellations must be submitted in writing.

What is your refund policy?

More than 14 days before the course: Full refund
7-14 days before the course: 50% refund
Less than 7 days before the course: No refund

Can I transfer my seat to another person?

Yes, substitutions are allowed at no extra cost if requested before the course start date.

What happens if the course is postponed or canceled?

We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:

Transfer to another date
Receive full refund

Will I receive a certificate?

Yes, all participants will receive a certificate of completion after attending the course.

Is attendance mandatory?

Yes, full attendance is required to receive certification.

Are your courses online or in-person?

We offer both in-person and virtual (live online) training options.

Will course materials be provided?

Yes, all participants receive training materials in digital format.

Are travel and accommodation included?

No, participants are responsible for their own travel and accommodation unless otherwise stated.

Can you deliver customized or in-house training?

Yes, we offer tailored training programs based on your organization's needs.

How can I contact you for support?

You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.

Testimonials

“

The structure of Certificate in Advanced Big Data and Data Analytics (CABDDA) made the topic practical and easy to apply immediately.

Course participant

Data Management and Business Intelligence

“

The venue and date options made planning the right session straightforward.

Seminar attendee

Barcelona - Spain

“

Clear content, relevant examples, and useful follow-up topics for the next training step.

Learning manager

Professional development

Certificate in Advanced Big Data and Data Analytics (CABDDA)

Venue Barcelona - Spain

Date 18 - 22 May 2026

Benefits at a glance

Build current, practical knowledge in data management and business intelligence.
Translate the course ideas into actions you can use immediately at work.
Review real schedule options across 12 venues and live dates.

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