Bridging the Gap to AI

Data Engineering for AI

Exocube is a Data for AI driven organization that helps companies transition to a Modern Data Architecture for Data Processing, Advanced Analytics and AI, in the cloud of your choosing.  

As a Databricks Implementation Partner, we help remove barriers and make it easier for our customers to get started building and deploying a Data Lakehouse.   

We have extensive experience migrating organizations from legacy Data Warehouse environments into the latest modern data architecture, the Databricks Lakehouse, bringing together scalable data processing workloads with Machine Learning and AI.

 

Modernize Your Legacy Data Platform

Exocube can help your organization transition to a scalable, on-demand, cloud strategy for data processing using Databricks to enable your business to achieve faster access to information for improved competitive advantage.

Most Data Warehouses and Databases are not able to keep up with increasing business demand for more information. They are difficult to scale and have challenges providing data at the frequency the business needs.

Modernize your on-premise or cloud Data Warehouse to a Databricks Lakehouse architecture in any cloud, be it Microsoft Azure, Amazon AWS or Google GCP.

Databricks' Lakehouse Delta Lake architecture can grow with your business and its evolving data needs.

It provides a single pane of glass for data management, governance and security. It is an evolutionary and transformative architecture that combines the best of Data Warehouse and Data Lakes capabilities providing equal support for Analytics, BI and ML/AI workloads.

 
 
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Data Engineering Pipelines

Data preparation effort in a Machine Learning model development takes 70% to 80% of a Data Scientist's effort. Surveys show it is the most time-consuming and least enjoyable Data Science task.

Our Data Engineers, most of whom also have Data Science backgrounds, can offload these strenuous tasks and let the ML specialists focus on the model development.

Data Engineering and Development

 

Engineered Data Pipelines

 

Exocube creates Configuration Driven Data Pipelines that are designed and optimized for the Lakehouse distributed environment.

We help develop new data pipelines that enrich your business information and increase your business competitiveness.

 

Optimized Architecture

 

Exocube's Lakehouse Architects are well positioned to provide a tailored design that suits your business and technical needs. With years of experience in both traditional Data Warehouses (MS SQL, Oracle, etc.) as well as Data Lakes (Cloudera, Hortonworks, etc.) we are able to bridge the gap to a modern data architecture.

 

AI Enablement

 

The Exocube team will help fast-track 80% of the ML Model Development and Operations lifecycle. We will work with your Data Scientists team to accelerate the entire process and help the AI transformation in your organization.

You don't have a data scientist? Exocube’s experienced ML team can help. We can also introduce you to highly specialized ML teams from our array of partners.

Operational Support

Exocube has proven expertise with traditional Data Warehouses and Databricks' Delta Lake technologies.

We can help plan and implement the digital transformation of your data ecosystem.

Get more done in less time!

Sharing our knowledge - we encourage our clients’ technical teams to be part of the delivery process thus increasing the knowledge transfer and adoption of the Databricks Lakehouse technologies.

Throughout the delivery process we will define and implement Cloud Operations Processes ensuring that your Ops Teams will be equipped to meet the demands of your business.

At the end of the project, part of our team may be embedded into your organization, for a pre-determined time-period to ensure a smooth transition to production.

Exocube can tailor a Platform and Application Maintenance and Support Program that suits your enterprise's needs, allowing your corporate teams to focus on higher value activities. A well balanced mix of on-shore and off-shore resources provide a cost-effective solution for supporting your Lakehouse workloads for Data Processing, Analytics and AI.

Our Team

 

Building on more than 20 years of experience in delivering data warehouse and BI solutions, Exocube, since 2014, has focused on leveraging distributed, open source technologies, for solving the increase in data processing requirements that private and public sector organizations are facing.

Our senior team of Management Consultants, Business Analysts and Program/Project Managers have played leadership roles in Data and ML/AI strategy development for Government, Utility, Data Science (ML) organizations, Retail and Oil and Gas.

Our combined team of Cloud Data Architects, Data Engineers and Data Scientists have extensive experience with Databricks’ Spark powered data and delta lakes architectures, data engineering and ML model development and operations:

  • 20 years in Hortonworks (HDP) and Cloudera Data Platforms (CDP) for IoT, Transportation, Government, Finance, Retail and Manufacturing.

  • 7 years in Amazon’s AWS for Pharma, Retail and Manufacturing.

  • 6 years in Google Cloud Platform (GCP) for Retail.

  • 4 years in Microsoft’s Azure Databricks for Retail.