Must-Have Skills for Big Data Practitioners Training in New Zealand

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

Classroom / Virtual Classroom
07 November 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
07 November 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
14 November 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
14 November 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
14 November 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
14 November 2024
Auckland, Wellington, Christchurch
3 Days
Must-Have Skills for Big Data Practitioners Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

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