9 Repositories
Python databricks Libraries
Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along with material in the form of Jupyter Notebooks.
Databricks Certification Spark Databricks Certified Associate Spark Developer preparation toolkit to setup single node Standalone Spark Cluster along
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
SynapseML - an open source library to simplify the creation of scalable machine learning pipelines
Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy
Sqlalchemy-databricks - SQLAlchemy dialect for Databricks
sqlalchemy-databricks A SQLAlchemy Dialect for Databricks using the officially s
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users levera
Simple and Distributed Machine Learning
Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy
Python script to clone SQL dashboard from one workspace to another
Databricks dashboard clone Unofficial project to allow Databricks SQL dashboard copy from one workspace to another. Resource clone Setup: Create a fil
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Microsoft Machine Learning for Apache Spark
Microsoft Machine Learning for Apache Spark MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark