Databricks Consulting Solutions

ExistBI’s Azure Databricks consulting team will help you determine how to build and deploy data engineering workflows, machine learning models, analytics dashboards, and more.

Why use Azure Databricks?

A key differentiator of successful data teams is their ability to quickly deliver business value generating data products.

However, too many data teams get stuck on building platforms, infrastructure, and tools which become defunct by the time they are operationalized.

Databricks, the unified analytics data platform, is designed to give you a state-of-the-art scalable platform built on top of Apache Spark that provides you with an interactive collaborative workspace for data exploration and visualization that takes away the headaches of managing and building your own production scale platform.

ExistBI has helped enterprise and government data teams build and develop successful data, analytics, and machine learning capabilities using the Databricks Unified Data Analytics Platform.

Let us help you with your Databricks project

Our Azure Databricks consulting team will conduct a deep dive to determine the most promising areas for analytics and machine learning across your business. We’ll then work with you to define a business case and solution architecture that can be executed quickly to demonstrate value!

Azure Databricks vs. AWS

Databricks and AWS are both popular cloud computing platforms that offer a range of services for data processing, storage, and analytics. Three reasons to choose Databricks include:

Focus on Data Science: Databricks was specifically designed to support data science workloads and offers a unified platform for data engineering, machine learning, and business analytics. It provides a collaborative workspace for data teams to work together on data-related projects, making it easier to share insights and collaborate on analysis.
Unified platform: Databricks offers a unified platform for data processing, storage, and analytics, which means that you can work with your data all in one place without having to integrate multiple services or tools. This can save time and make it easier to manage your data pipeline.
Performance: Databricks is built on Apache Spark, a fast and powerful distributed computing framework that can process large amounts of data quickly. Databricks also offers optimized data processing and caching capabilities that can help improve performance.

Databricks Case Studies

U.S. Air Force – Data Management, Data Governance & Informatica Expertise

Recent Case Studies, BI Analytics Case Studies, Big Data Case Studies, Data Governance Case Studies, Data Lake Case Studies, Data Quality Case Studies, Data Science Case Studies, Databricks Case Studies, Industry: Public Sector and Government, Informatica Case Studies, Machine Learning Case Studies, Predictive Analytics Case Studies, Tableau Case Studies

Read why ExistBI was shortlisted by the U.S. Air Force’s to support the ambitious VAULT data platform project.

AWS Redshift versus Azure Synapse Data Warehouse for Medium to Large Org.

Blog, Amazon Redshift Case Studies, Databricks Case Studies

Both AWS and Microsoft Azure offer robust data warehousing solutions, but they have some differences that may make one more suitable for your organization. Here's a comparison based on various aspects: