Must-Have Skills for Big Data Practitioners Training in Switzerland

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Big data gets much attention for the changes that it brings to the field of data analytics. We must also realize that it changes the game for data management practitioners. Data architects, data engineers, and data analysts – nearly anyone who works with data – needs to learn new skills to succeed in the age of big data.

Big data is an important topic for modern analytics, yet it is a complex topic that is continuously evolving. Achieving good return on your big data investment requires strategy that focuses on purpose, people, and process before exploring data and technologies. Strategy drives planning and architecture to ensure that big data complements and does not disrupt the existing BI and analytics environment. There are many technologies to leverage the power of big data, but data and technologies alone don’t create insight and value. The real question is how to engage in the big data journey and develop a viable big data strategy? This requires a roadmap to plan, build, and execute.

With strategy in place the right technologies become the path to value. Data management and business insights both depend on technology. Machine learning and deep learning technology is at the leading edge of big data analytics. Hadoop is the widely accepted open source technology that establishes the baseline for big data management.

The Must-Have Skills for Big Data Practitioners workshop will cover essential techniques and best practices for leveraging the power of big data over three days of in-depth, interactive training.

There are no prerequisites for this course.

  • Business and data analysts
  • Data engineers with big data responsibilities
  • Analytics program and project managers
  • BI and analytics architects, designers, and developers
  • Anyone with a role in analytics or big data
  • Anyone with an interest in Hadoop, ranging from “Hadoop curious” to those who are actively involved in implementation

  • Key characteristics of big data and why “big” is not among the top five
  • The hidden structures of unstructured data and the common types of big data sources
  • Value opportunities and common applications for big data
  • How to define, refine, and apply a big data roadmap
  • The opportunities, technologies, and techniques of machine learning and deep learning
  • Key considerations to implement machine learning
  • Hadoop components and architecture
  • Hadoop configuration, administration, and management
  • How to use common Hadoop tools

  • Key characteristics of big data and why “big” is not among the top five
  • The hidden structures of unstructured data and the common types of big data sources
  • Value opportunities and common applications for big data
  • How to define, refine, and apply a big data roadmap
  • The opportunities, technologies, and techniques of machine learning and deep learning
  • Key considerations to implement machine learning
  • Hadoop components and architecture
  • Hadoop configuration, administration, and management
  • How to use common Hadoop tools


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Switzerland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

17 Ocak 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
17 Ocak 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
14 Şubat 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
22 Şubat 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
01 Mart 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
14 Şubat 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
22 Şubat 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
01 Mart 2025 (3 Days)
Bern, Zürih, Cenevre
Classroom / Virtual Classroom
Must-Have Skills for Big Data Practitioners Training Course in Switzerland

Switzerland, or officially known as the Swiss Confederation, is a federated country of central Europe. Because of its linguistic diversity, Switzerland is known by a variety of native names, such as Schweiz, Suisse, Svizzera and Svizra. While Bern is the administrative capital, Lausanne is the judicial centre of Switzerland. Zurich, Geneva and Basel are bases of some important international organisations such as the WTO, the WHO and FIFA. The country is well-known for its high welfare; Switzerland has the highest nominal wealth per adult.

Alongside the beautiful scenery, tourists visit Switzerland for the country's cultural attractions. There are many museums, galleries and historic buildings within popular cities such as Zurich, Geneva, and Lausanne. One of the most popular things to do is a train journey to the Top of Europe; Jungfraujoch. The longest glacier in Europe, the Great Aletsch Glacier begins at Jungfraujoch, and is also a UNESCO World Heritage Site.

Experience a paradigm shift in IT training with Bilginç IT Academy as we cater to the specific needs of Switzerland. Our training catalog showcases an array of Certification Exam preparation courses and accredited corporate training options, all delivered with innovative methodologies that will transform your learning journey.
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