Modern Data Management Services With Microsoft, Snowflake & Databricks

Data Management
Review

BoomData can provide a simple or detailed review of your data management processes, practices and architecture at each stage of your data lifecycle, to ensure valuable information is created repeatedly at scale, to meet the growing needs of the business.

Proof Of
Concept

For those wanting to establish a cloud data platform or enterprise data warehouse but want to prove value first or start small and learn first, BoomData can provide a Proof of Concept for the data platform in an agile & iterative way. We do this in a specific business area with a smaller data set to use as a test case to establish the cloud data platform.

Scoping
& Design

BoomData has a proven methodology for scoping & design of a data and analytics project or cloud data platform based on our 5 Steps for Success approach outlined in the ebook below. Understanding the requirements and then developing an appropriate architecture is a foundation for success.

Data Integration
& Engineering

We develop, manage, prepare, transform, and deliver data flows and integrations to enable analytics at scale using Microsoft Data Factory and Azure in the cloud. We specialise in data integration and data pipelines, data preparation and enhancement, ETL/ELT, health checks and data quality that can simplify, automate and speed up the process of cleaning, transforming and bringing data together from all of your sources, to make it analytics-ready.

Cloud Data
Platform

We design, build and maintain end-to-end Microsoft, Snowflake & Databricks data platforms in the cloud that are robust and scalable serving as the foundation to all data and analytics needs. Our modern data architecture services include: migrating to cloud data platforms, designing and delivering data warehouses, data lakes, data lakehouses, data modelling, data security, data storage solutions, cloud, on-prem, or hybrid architectures and health checks. We do this as experts in Microsoft Fabric, Azure, Synapse, Snowflake & Databricks.

Data
Governance

Whether you’re creating a data governance program from scratch or growing your existing program, we’ll work with you to make your data and analytics more accessible, trustworthy and actionable to the business through robust data governance practices. We design a custom approach to data governance for each of our clients that addresses data definitions and how business logic is defined and managed, master data management, data modelling, data security and access controls, data stewardship, ownership and management in the business, auditability, lineage and traceability of data and data quality standards and validation rules.

Data Quality
& Security

Complete, accurate & trustworthy numbers are a fundamental of data management. With the technology for the data layer changing, data quality and accuracy checks at each stage are critical, as is tracking and lineage. Data integration will ensure the right data is available and data cleaning will remove or correct data inaccuracies. Like much of data & analytics, data quality is a team effort – a line of business data owner should be defined for each underlying source system with periodic checks on data quality at the source. As part of an implementation process, BoomData utilise a medallion-based approach to data quality, supported by proven processes for testing & validating data accuracy at each stage of the data and analytics pipeline.

Delivery
Services

We take an agile, iterative design and delivery approach, with a view to delivering value early in your project. While working with you to determine the right engagement model, offering both onshore & offshore resources. We can be engaged on a project basis, for ad-hoc work, as a complement to inhouse resource or a full managed service. We can do full scale deployments, customisations, migrations, perform technical upgrades and configurations & design for your data management initiative.