27/02/2025
Hot vacancies:
Data Integration: Microsoft Azure, Amazon AWS, and Google GCP
17:00 UTC
Online
English
Free
About the event
This overview compares data integration tools in Microsoft Azure, Amazon AWS, and Google GCP, examining their features and capabilities. It addresses challenges in selecting the right tool, such as compatibility, scalability, and cost-effectiveness. The comparative analysis is not complete without a mention of the Gartner Magic Quadrant for cloud data integration which offers valuable insights by evaluating vendors based on vision and execution, helping businesses make informed decisions tailored to their needs.
The event will be interesting for:
BI engineers, data engineers, testers, business analysts, and data warehouse developers.
Topics and speakers
Phuzo Soko
BI/Data Engineer (Andersen)
17:00 UTC
Data Integration: Microsoft Azure, Amazon AWS, and Google GCP
About the topic
Agenda: - Introduction: explanation of data integration and the main cloud providers; - Microsoft Azure: key data integration services and strengths; - Amazon AWS: key data integration services and strengths; - Google Cloud Platform (GCP): key data integration services and strengths; - Choosing the right cloud provider: factors to consider; - Conclusion and a Q&A session.
About the speaker
Phuzo is an experienced data expert with over two decades of experience in the IT industry who specializes in data engineering, business intelligence, data science, and data warehousing and manages data ecosystems in cloud computing platforms. He has extensive experience in developing ETL solutions using tools such as Informatica, SAS Data Integration Studio, Azure Data Factory, AWS Glue, and GCP Data Fusion. He also has extensive expertise in developing data storage solutions, e.g., on-premises databases and warehouses, and cloud computing platforms. Phuzo is a business intelligence specialist who designs and develops visualization solutions and is proficient in tools like Power BI, QlikView, Tableau, Pentaho, and QuickSight. He has a proven track record in managing full-lifecycle data projects, from gathering requirements and designing features to developing, testing, and deploying production-ready solutions.
Attend our free online meetup
27 February
17:00 UTC