Simplify AI/ML with Databricks
What is Spark
Apache Spark is a unified analytics engine for large-scale data processing. It has 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
Who uses Databricks
Data Engineers
- Develop, test, execute and monitor batch ETL jobs
- Implement data streaming ingestion or analytics jobs
- Collaborate on code, notebooks and jobs
Data Analysts
- Perform data analysis using SQL at scale
- Perform visual analytics using Databricks notebooks and share them
Data Scientists
- Explore datasets visually and interactively in a notebook environment
- Explore machine learning models
- Develop production machine learning pipelines
- Monitor machine learning performance
Simplify AI/ML
Cut through the hype. Explore new opportunities with Databricks and reap the benefits
Servian Databricks Packages
Cloud Data Lake Starter
Cloud Data Lake Starter
Improve data agility and achieve more faster
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
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 to showcase such outcome.
Establish structured data science innovation
Demonstrate business value in applying AI/ML
Cyber Security Review
Cyber Security Review
Enable democratised enterprise AI/ML
Enable democratised enterprise AI/ML
We will help you to ensure 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
Production ML
Achieve ROI with best practice deployment
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
