Azure Databricks: 1-Week Proof of Concept

Platingnum uses Azure Databricks to assist enterprises to expedite their journey from Data Engineering to Data Science.

We assist enterprises in deploying Azure Databricks in the following use cases:

Creating a new data ecosystem: For people who do not have a large data infrastructure and rely on simple reporting and spreadsheets for insight.

Migrating from Spark to Databricks: For people who are currently using Apache Spark on Hadoop or in the cloud and want to boost Spark performance by utilising Azure Databricks.

Using Spark to modernise the data ecosystem: For those who have a legacy and sophisticated big data infrastructure that impedes data engineering and science.

Our Approach – Deliverables

• Kick-off discussion with your team to identify critical use cases for PoC, with an emphasis on improving business choices anticipated to produce value.
• Configure Azure Databricks and load relevant data for use cases. Other Azure capabilities, such as Azure Data Lake Storage for storing source data or Azure Data Factory for pipeline automation, can be included as needed.
• We’ll teach you how to leverage a combination of Spark SQL, R, and Python in Databricks to prepare data for analysis in collaboration with your team.
• Discuss relevant modelling methodologies for the given use cases, taking into account how the results might be utilised to drive better decisions.
• Present choices for delivering the data and models in a repeatable manner, such as through Power BI dashboards that end users may engage with to investigate the model’s most recent findings.