Data Engineering and Data Management on the Cloud with Databricks

Build a state-of-the-art lakehouse platform combining the best of two worlds - data lake and data warehouse.

The ability of successful data teams to quickly deliver products that generate business value is a key differentiator. However, too many data teams get stuck on building platforms, infrastructure, and tools that become outdated when operational. Payoda makes it easy for you to build a production scale platform, while providing an interactive, collaborative workspace for data exploration and visualization.

Our Capabilities

Payoda is a consulting partner for Databricks to drive business value for our clients by unifying all data and artificial intelligence processes and workflows in a single platform. With us you can implement and scale data engineering, full-lifecycle machine learning and business analytics initiatives. To ensure you get the most out of the Databricks Lakehouse Platform, we bring you our expertise in technology, industry, and use cases.

We provide high quality consulting services using Databricks on Azure, AWS and Google Cloud Platform for the following:

Data Engineering

Streamline and automate data migration and transformation and monitor data quality and pipelines.

Data Lakehouse

Combine your data warehouse and data lake to run high performance, low latency BI and analytics queries on a Lakehouse.

Machine Learning

Eliminate the issues of multiple handoffs and transitioning between environments with only one unified interface for your ML and Data Analysis projects.

Payoda’s helps you buld the foundation of data architecture and combine your data warehouse and data lake into one safe, secure, and reliable Lakehouse that supports all your data.

Why Leading Companies Choose Payoda?

As a Databricks consulting partner, Payoda helps global companies develop successful data strategies, data engineering, and machine learning capabilities using the Databricks Unified Data Analytics Platform.

Strategic Planning Drives Outcomes

  • Roadmaps and reference architectures
  • Business value consulting
  • Use case and project planning

Expert-Led Delivery

  • Industry solutions
  • Platform migrations and build-outs
  • Partner collaboration

Building a Data Lakehouse Platform

The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability,strong governance and performance of data warehouses, with the openness, flexibility and machine-learning support of data lakes.

This unified approach simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning.

The additional benefits are:

  • A unified data analytics platform for accelerating innovation across data engineering, data science, and analytics.
  • High performance query engine.
  • End-to-End security, governance and compliance.

Streamline Your Data Ingestion and Management Combined With AI/ML.

Talk to Our Experts

We are surrounded by data,
but starved for insights