Nikhil-AzureBigData's Stars
m-kovalsky/Fabric
Useful code for fabric notebooks
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
mlflow/mlflow
Open source platform for the machine learning lifecycle
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
cM2908/leetcode-sql
Leetcode SQL Solutions
SQLadmin/tsqltools
Tsql stored procedures and scripts to help the DBAs and Developers to make their job easier
smpetersgithub/AdvancedSQLPuzzles
Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
PacktPublishing/Azure-Data-Engineering-Cookbook-2nd-edition
Azure Data Engineering Cookbook 2nd-edition, published by Packt
OBenner/data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
joelcthomas/ml-azuredatabricks
Collection of Machine Learning Examples for Azure Databricks
adb-essentials/adb-essentials-demos
ADB Essentials Demos used in the webinars: https://databricks.com/p/webinar/azure-databricks-essentials-series
databrickslabs/cicd-templates
Manage your Databricks deployments and CI with code.
SaschaDittmann/MLOps-Databricks
MLOps using Azure Databricks, Azure DevOps and Azure ML Services
Azure/AzureDatabricksBestPractices
Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs
mspnp/spark-monitoring
Monitoring Azure Databricks jobs
starschema/tableau-web-table-connector
A mini framework for writing Tableau Web Data Connectors.
amundsen-io/amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Wathon/data_engineering_with_python-track-datacamp
Data Engineer with Python lecture notes from #datacamp.
spark-examples/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
sadanandpai/git-guide
Practical guide to everyday Git commands
apache/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
maitbayev/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
mtpatter/postgres-kafka-demo
Fully reproducible, Dockerized, step-by-step, demo on how to stream tables from Postgres to Kafka/KSQL back to Postgres. Detailed blog post published on Medium.
palantir/pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
great-expectations/great_expectations
Always know what to expect from your data.
nickefy/Data-Engineering-Google-Drive-Data-Pipeline
nickefy/Apache-Airflow---A-New-Way-to-Write-DAGs
DAGs, Operators, and config files for building framework on Apache Airflow
stacksimplify/azure-aks-kubernetes-masterclass
Azure AKS Kubernetes Masterclass
rodalbuyeh/pyspark-k8s-boilerplate
Boilerplate for PySpark on Cloud Kubernetes