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Unify the best of data warehouses and data lakes in one simple platform to handle all your data, analytics, machine learning and AI use cases.
Databricks is a cloud-based data lakehouse platform, developed on the Apache Spark open-source data processing engine, that combines the benefits of a data lake and data warehouse to create a new open data management architecture.
It provides a set of tools and services that make it easier to process, transform, and visualize very large data sets from many different sources.
Databricks’ key differentiator is its machine learning / AI model capabilities that enables predictive analytics, like products a customer is most likely to buy, who will churn, or consolidating brand sentiment across multiple siloed web sources.
Databricks is a popular choice for data engineers, data scientists, and analysts to gain insights from data, create real-time data pipelines, and analyze large datasets at scale.
Unify the best of data warehouses and data lakes in one simple platform to handle all your data, analytics, machine learning and AI use cases.
We build your complete data infrastructure in Databricks and Power BI on the cloud platform of your choice.
We lower your cloud consumption costs with robust data management tools.
We set up automated data pipelines and layer in data cleansing for trusted, reliable data.
We build machine learning (ML) models and provide the framework for iterative improvement.
We couple Databricks with WhereScape to harness the power of limitless scale and automation.
We build structured data hubs for sharing information inside or outside your organization
Implement AI capabilities to your business intelligence or applications.
With Skypoint as your dedicated team of experts, you have the best support to build an integrated data platform and simplify your data and AI processes.
