Data Lunch & Learn - Step 1: How to regain control of your data

The hyper scalability of the cloud is enabling modern data warehousing and AI solutions, which are affordable and available on demand. Easy to use tools have put advanced data science technologies within the reach of every organisation, making it the ideal time to get started.

James Green, Head of Data, Analytics and AI at Ancoris will guide you through the three steps of creating your own modern analytics platform. For maximum impact, we recommend you attend all three tutorials in the series. Past events will be available on demand if you have missed an earlier one.

Step 1: What you will learn in this session:

Data silos make it time-consuming, costly and difficult to gain actionable insights. Centralising your data is the first step to unlocking its potential.

This tutorial will show you how to consolidate your data sources and apply the necessary transformations and governance to clean, conform and enrich your data, ready for consumption.

• Ingest - How to ingest your data, both batch and streaming, into the Google Cloud Platform, at any scale. Work with disparate data sources including iSaaS, on-prem data stores, spreadsheets, iOT devices and external APIs.
• Store - How to use a serverless architecture which separates storage and compute, scaling on-demand with your data needs and reducing cost.We will look at Google BigQuery, a petabyte-scale, highly available and secure data warehouse platform.
• Transform - We will discuss coupling dbt with our own Kimball inspired methodology to transform your raw data for consumption. Logical layers enforce strong reproducibility, maintainability, data governance and data engineering best practices.