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DB-002

Certificate in Advanced Big Data and Data Analytics (CABDDA)

Intensive 5-day course · English, Arabic & European languages

Experienced big data professionals use Apache Spark for advanced analytics in a 5 day technical course. Delegates examine storage and distributed computing, work through machine learning and deep learning cases, and develop an individually chosen data project. Labs address SQL, ETL and streaming, while ethics and the analytics lifecycle support the analysis and presentation of project findings.

Classroom

Public courses in our cities

  • 19–23 Oct 2026London£3,360 + VAT
  • 19–23 Oct 2026Dubai£4,200 + VAT
  • 2–6 Nov 2026Munich£3,400 + VAT
  • 16–20 Nov 2026Riyadh£4,200 + VAT
  • 7–11 Dec 2026Doha£4,200 + VAT
  • 21–25 Dec 2026Amsterdam£3,400 + VAT
Show 24 more dates
  • 4–8 Jan 2027Berlin£3,400 + VAT
  • 18–22 Jan 2027Kuala Lumpur£1,800 + VAT
  • 1–5 Feb 2027Milan£3,400 + VAT
  • 15–19 Feb 2027Barcelona£3,080 + VAT
  • 1–5 Mar 2027Malaga£3,080 + VAT
  • 15–19 Mar 2027London£3,360 + VAT
  • 5–9 Apr 2027Munich£3,400 + VAT
  • 19–23 Apr 2027Sarajevo£3,400 + VAT
  • 3–7 May 2027Dubai£4,200 + VAT
  • 17–21 May 2027Amsterdam£3,400 + VAT
  • 7–11 Jun 2027Riyadh£4,200 + VAT
  • 21–25 Jun 2027Kuala Lumpur£1,800 + VAT
  • 5–9 Jul 2027Doha£4,200 + VAT
  • 19–23 Jul 2027Barcelona£3,080 + VAT
  • 2–6 Aug 2027Geneva£4,200 + VAT
  • 16–20 Aug 2027London£3,360 + VAT
  • 6–10 Sep 2027Munich£3,400 + VAT
  • 20–24 Sep 2027Abu Dhabi£4,200 + VAT
  • 4–8 Oct 2027Cairo£2,280 + VAT
  • 18–22 Oct 2027Amsterdam£3,400 + VAT
  • 1–5 Nov 2027Jeddah£4,200 + VAT
  • 15–19 Nov 2027Kuala Lumpur£1,800 + VAT
  • 6–10 Dec 2027Singapore£4,200 + VAT
  • 20–24 Dec 2027Barcelona£3,080 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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Certificate in Advanced Big Data and Data Analytics (CABDDA)

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Course overview

Big data changes the information available for organisational decisions. CABDDA examines how to store, process, analyse and present use cases, including the assembly and management of large-scale analytics projects. Practical Spark labs address data-intensive problems alongside storage architectures, cloud computing and the risks of moving data. Machine learning and deep learning cases introduce advanced analytical work, with ethics and integrity included in discussion of data analytics and artificial intelligence.

Delegates choose a project dataset. Examples from Netflix, LinkedIn, Facebook, Google, Orbitz and Dell support discussion of organisational needs before delegates assess their own organisation and identify opportunities. Work on the chosen project covers problem definition, data sources, exploration, analysis and visualisation, ending with a presentation of findings and the analytics lifecycle using Spark. The advanced course follows the Big Data and Data Analytics Practitioner (CBDDAP) and Big Data Fundamentals (CBDF) material in the series; several years of big data experience or previous CBDDAP attendance are expected, with Python programming and data visualisation practice recommended.

Course objectives

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

  1. Explain big data technologies and the use of Apache Spark
  2. Describe Hadoop map-reduce challenges and advantages
  3. Demonstrate and discuss storage and computing technologies, including PostgreSQL and object storage
  4. Discuss machine learning algorithms, deep learning techniques and ethics in data analytics and artificial intelligence
  5. Present an analytics lifecycle demonstration using Spark

Target competencies

  • Use of big data
  • Structures and technologies for big data analytics
  • Ethics and integrity in big data and artificial intelligence development
  • Big data storage
  • Good practice with Apache Spark

Who should attend

This course suits:

  • Data engineers
  • Artificial intelligence engineers
  • Data scientists
  • Professionals with several years of big data experience or prior Certified Big Data and Data Analytics Practitioner (CBDDAP) attendance; Python programming and data visualisation experience are recommended

Training methodology

  • The technical course centres on practical exercises and Spark labs.
  • Group discussions and group activities accompany the applied work.

Daily agenda

  1. Day 1

    Organisational applications and project choices

    • Matching big data projects to organisational needs
    • Examples of big data applications
    • Netflix examples
    • LinkedIn examples
    • Facebook examples
    • Google examples
    • Orbitz examples
    • Dell examples
    • Other big data examples
    • Good practice in project design
    • Evaluating the organisation's current position
    • Selecting datasets for course projects
  2. Day 2

    Storage architectures and technologies

    • Architectural approaches and paradigms for big data
    • Components of the Hadoop ecosystem
    • Introducing Hadoop
    • Using Hadoop Distributed File System (HDFS)
    • Massively parallel processing (MPP) and distributed applications in memory
    • Relational database systems (RDBMSs) and NoSQL databases (DBs)
    • PostgreSQL storage
    • MongoDB storage
    • Cassandra storage
    • Working with data streams
    • Data warehouses and data marts
    • Introducing Apache Spark
    • Practical SQL labs for big data
  3. Day 3

    Computing and moving big data

    • Methods for accessing big data
    • Cloud computing in big data work
    • Risks associated with data movement
    • Networks and co-location
    • Practical Apache Spark lab
    • Extract, transform, load (ETL) and big data compute technologies
    • Distributed computing methods
    • High-performance clusters and Apache Spark
    • Streaming with Storm and Spark structured streaming
    • ETL labs using Apache Spark
    • Data engineering with Apache Spark
  4. Day 4

    Advanced analytics and artificial intelligence

    • Stages in the analytics lifecycle
    • Comparing Apache Spark with Pandas
    • Machine learning and deep learning for big data in Spark
    • Ethics in artificial intelligence
    • AutoML and hyperparameter tuning
  5. Day 5

    Developing and presenting the data project

    • Finding analytical opportunities in an organisation
    • Defining and assessing the problem
    • Explaining the impact and use of data in addressing it
    • Identifying possible sources of data
    • Designing an analytics project
    • Accessing, exploring, analysing and visualising the chosen project dataset
    • Presenting project findings to the course group

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

Register

Certificate in Advanced Big Data and Data Analytics (CABDDA)

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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Certificate in Advanced Big Data and Data Analytics (CABDDA)