PyCon Nigeria Annual Conference

Companies of all sizes use BigQuery (with Python)

speaker-foto

Mileke Kolawole

Mileke is a seasoned Cloud Engineer specializing in Google Cloud Platform solutions. With over 4 years of experience in the tech industry and a strong background in security, he excels at architecting robust, scalable, and secure cloud environments. His expertise in cloud migration, infrastructure automation, and cloud-native development makes him a valuable asset to any organization seeking to innovate in the cloud. Mileke is a dedicated community builder, driven to empower others in their tech journeys. As a seasoned public speaker, he has addressed diverse audiences, from C-suite executives to passionate tech communities, delivering insightful talks on various technical and non-technical topics. His passion for knowledge-sharing shines through his blog, "WTF is the cloud?" where he breaks down complex cloud concepts for learners of all levels.

Description

This talk will dive into Google BigQuery-- a powerful, fully managed data warehouse for petabyte-scale analytics. We'll bypass infrastructure management and leverage BigQuery's familiar SQL syntax to unlock valuable insights from sample datasets. Using Google Cloud's Python client libraries, attendees will gain hands-on experience querying BigQuery's public datasets.

Abstract

This workshop will dive into Google BigQuery-- a powerful, fully managed data warehouse for petabyte-scale analytics. We'll bypass infrastructure management and leverage BigQuery's familiar SQL syntax to unlock valuable insights from sample datasets. Using Google Cloud's Python client libraries, attendees will gain hands-on experience querying BigQuery's public datasets, like the iconic works of Shakespeare and the vast GitHub archive. The talk will guide participants through setting up their Google Cloud environment with Cloud Shell. enabling the BigQuery API, authenticating Python code for secure interaction, installing the essential BigQuery Python client library, and crafting queries to explore public datasets with Python. It is recommended that participants have a laptop, a Google Cloud Project on the Google Cloud console, and basic familiarity with Python.

Audience level: Intermediate or Advanced