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Apache Arrow for Data Analysis across Disparate Data Sources

14 Hours
Apache Arrow is an open-source in-memory data processing framework. It is often used together with other data science tools for accessing disparate data stores for analysis. It integrates well with other technologies such as GPU databases, machine learning libraries and tools, execution engines, and data visualization frameworks. In this onsite instructor-led, live training, participants will learn how to integrate Apache Arrow with various Data Science frameworks to access data from disparate data sources. By the end of this training, participants will be able to:
  • Install and configure Apache Arrow in a distributed clustered environment
  • Use Apache Arrow to access data from disparate data sources
  • Use Apache Arrow to bypass the need for constructing and maintaining complex ETL pipelines
  • Analyze data across disparate data sources without having to consolidate it into a centralized repository
Audience
  • Data scientists
  • Data engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Testimonials (11)

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.
Course - Big Data Architect

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete
Course - Data Science for Big Data Analytics

How big data work, data programs, greater knowledge of how our current world works using data

Ozayr Hussain - Vodacom
Course - A Practical Introduction to Data Analysis and Big Data

The practical side of the training.

Patrick - Vodacom PTy Ltd
Course - A Practical Introduction to Data Analysis and Big Data

Interactive topics and the style used by the lecture to simplified the topics for the students

Miran Saeed - Sulaymaniyah Asayish Agency
Course - A Practical Introduction to Data Analysis and Big Data

the trainer and his ability to lecture

ibrahim hamakarim - Sulaymaniyah Asayish Agency
Course - A Practical Introduction to Data Analysis and Big Data

Practical exercises

JOEL CHIGADA - University of the Western Cape
Course - A Practical Introduction to Data Analysis and Big Data

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