Must-Have Skills for Big Data Practitioners Training in Ireland

  • 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 Ireland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
01 July 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
19 July 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
23 July 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
03 August 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
04 August 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
06 August 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
14 August 2024
Dublin, Belfast, Cork
3 Days
Classroom / Virtual Classroom
05 September 2024
Dublin, Belfast, Cork
3 Days
Must-Have Skills for Big Data Practitioners Training Course in Ireland

Ireland is an island nation located in northwestern Europe. Its history is shaped by its position as a former British colony, as well as its rich cultural heritage, which includes a long tradition of storytelling, music, and dance. Ireland gained independence from Britain in 1922 and has since become a modern, prosperous country.

Today, Ireland is known for its beautiful landscapes, rich cultural heritage, and friendly people. Popular cities within the country include Dublin, Cork, and Galway, each with their own unique charm and character. The population of Ireland is estimated to be around 5 million people, with English and Irish being the two official languages. Ireland is also home to a vibrant tech sector, with many global tech companies choosing to locate their European headquarters in Dublin. With its mix of tradition and modernity, Ireland is a popular destination for visitors from all over the world.

Choose from our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Our highly skilled instructors will deliver hands-on training and valuable insights at a location of your choice within Ireland.
Dublin is considered the technology center of Ireland. It is home to a thriving tech industry, with many global tech giants such as Google, Facebook, and Microsoft having their European headquarters in the city. Dublin's reputation as a tech hub is due in part to its favorable business environment, with a low corporate tax rate and a skilled workforce that is well-educated in science, technology, engineering, and mathematics (STEM) fields.

Dublin has also been proactive in supporting the growth of the technology sector, with initiatives such as the Dublin Commissioner for Startups and the Dublin Tech Summit, an annual event that brings together technology leaders from around the world.
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