Simplify AI/ML with Databricks

What is Spark

Apache Spark is a unified analytics engine for large-scale data processing. Apache Spark had been instrumental to the success of data analytics and AI in cloud-scale era with its revolutionary in-memory optimisation, resilience and easy to use programming interface.

What is Databricks

Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and business. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from interactive exploration and ETL through to production data products. 
 
AI applications are simpler to explore and transition to production as the one platform is used by data scientists and data engineers. Users can quickly prepare clean data at massive scale, and continuously train and deploy state-of-the-art ML models for best-in-class AI applications.
 
Databricks makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

Why Servian

Servian have had the most certified data engineers and data scientists with Databricks Spark since 2015. Servian is the only organisation in Australia with certified instructors for Databricks Spark. We have been implementing machine learning on Databricks since 2016.

Who uses Databricks

Simplify AI/ML with Databricks

Cut through the hype. Explore new opportunities with Databricks and reap the benefits

Servian Databricks Packages

Cloud Data Lake Starter

Improve data agility and achieve more faster

We will ingest one of your data sources into a Snowflake data lake using Databricks and template ingestion jobs.

  •  Demonstrate outcomes of data analytics at scale and agile pace.

  • Establish onboarding processes

Data Science Experiment

Explore and test the most impactful ML application

We will facilitate AI/ML workshop with key stakeholders to define business outcome. We will then develop AI/ML PoC on Databricks to showcase such outcome.

  • Establish structured data science innovation

  • Demonstrate business value in applying AI/ML

Cyber Security Review

Enable democratised enterprise AI/ML

We will help you to ensure your Databricks implementation is secure from both platform and data perspective to meet enterprise security requirements

  • Enable enterprise wide unified data science collaboration 

  • Improved data science efficiency

  • Mitigates security risks

Production ML

Achieve ROI with best practice deployment

We will help you to implement a governance framework for production machine learning. Ensuring your use cases achieve optimal ROI.

  • Achieve ROI with scalable, production machine learning

  • Continuous improvement of ML models

  • Establish ML governance framework

Databricks Unified Analytics Platform

Ready to explore the possibilities and opportunities of simplifying AI/ML with Databricks? Get in touch today

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