Topic: databricks-notebooks Goto Github
Some thing interesting about databricks-notebooks
Some thing interesting about databricks-notebooks
databricks-notebooks,Ce dépôt GitHub contient un document détaillé sur les bases du langage Scala.
User: abdelmajidlh
databricks-notebooks,A simple boilerplate for data engineering and data analysis training in Databricks.
User: ac-gomes
databricks-notebooks,Modern Dataware House Demos with Azure Databricks, Azure Data Factory & Azure Dedicated SQL pool (formerly SQL DW)
User: aessing
Home Page: https://github.com/aessing/demo-mdwh
databricks-notebooks,Stocks Data Analysis In DataBricks - Using SQL and Pyspark
User: akash8k
databricks-notebooks,Leveraged PySpark on Databricks to conduct comprehensive stock price analysis, including data cleaning, time series analysis, and advanced analytics, yielding actionable insights for strategic decision-making.
User: akshat103
databricks-notebooks,Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"
User: analyticalmonk
Home Page: https://odsc.com/speakers/from-big-data-to-nlp-insights-getting-started-with-pyspark-and-spark-nlp/
databricks-notebooks,A collection of Databricks notebooks for testing and learning
User: anilkulkarni87
Home Page: https://anilkulkarni87.github.io/databricks_notebooks/
databricks-notebooks,Using Azure Databricks (Spark) for ML, this is the //build 2019 repository with homework examples, code and notebooks
User: annielytix
databricks-notebooks,Are you like me , a Senior Data Scientist, wanting to learn more about how to approach DevOps, specifically when you using Databricks (workspaces, notebooks, libraries etc) ? Set up using @Azure @Databricks
User: annielytix
databricks-notebooks,Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows
Organization: astronomer
databricks-notebooks,Scala data pipeline using databrics & snowflake free accounts to plot data in databrick Notebook
User: asutoshparida
databricks-notebooks,Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Organization: azure-samples
databricks-notebooks,Apache Spark Connector for Azure Cosmos DB
Organization: azure
databricks-notebooks,Accelerator code for an anomaly detection module leveraging Databricks for use as part of a Network Threat Detection System
Organization: blueprinttechnologies
databricks-notebooks,Accelerator code for demand planning for retail supply chain, leveraging Databricks
Organization: blueprinttechnologies
databricks-notebooks,Databricks notebook that integrates data from Microsoft Dataverse to Databricks Delta table, including the schema inference
Organization: blueprinttechnologies
Home Page: https://medium.com/@EricVogelpohl/dataverse-meet-databricks-8f500a388699
databricks-notebooks,Steps to take scanned PDFs, OCR them and embed them in questions to OpenAI's chat models
Organization: blueprinttechnologies
Home Page: https://medium.com/@EricVogelpohl/your-data-and-chatgpt-e1d6c1f050eb
databricks-notebooks,Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
User: brennerh1
Home Page: https://databricks.com/discover/demos
databricks-notebooks,Databricks Add-on for Splunk
Organization: databrickslabs
Home Page: https://splunkbase.splunk.com/app/5416/
databricks-notebooks,This is a code sample repository for demonstrating how to perform Databricks Delta Table operations.
User: easonlai
databricks-notebooks,Making ODBC connection from Databricks (Azure Databricks) to Azure SQL Database with Azure AD User Access Token.
User: easonlai
databricks-notebooks,Samples for Azure Databricks Orientation
User: easonlai
databricks-notebooks,Delta Live Tables (DLTs) is a framework that allows to build Data pipelines. It offers advantages such as: Data Quality Checks, Observability and so on
User: flovera1
databricks-notebooks,Introducing Delta-Buddy: Your ultimate Delta Lake companion! 🚀 Streamline your data journey with an AI-powered chatbot. Ask Delta-Buddy anything about your Delta Lake.
User: fvaleye
databricks-notebooks,nbmanips allows you easily manipulate ipynb files
User: hmiladhia
databricks-notebooks,Black for Databricks notebooks
Organization: inspera
databricks-notebooks,Notebooks to learn Databricks Lakehouse Platform
User: jaceklaskowski
databricks-notebooks,Repository for the ENSF 612 final project.
User: jposyluzny
databricks-notebooks,In this project, we are going to build a Bicycle sharing demand prediction service using Apache Spark and Scala. I have created a two spark application one for model generation and another for model demand prediction.
User: kapilthakre
databricks-notebooks,Common ETL patterns and utilities for PySpark. Notebooks tested on Databricks Community edition
User: mar1boroman
Home Page: https://mar1boroman.github.io/databricks-patterns/
databricks-notebooks,Small samples from daily work.
User: marvinbuss
databricks-notebooks,A data pipeline project build on databricks and azure to demostrate lifecycle of a cloud data project.
User: mehroosali
databricks-notebooks,Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
Organization: microsoft
Home Page: https://github.com/microsoft/A-TALE-OF-THREE-CITIES
databricks-notebooks,Testing framework for Databricks notebooks
Organization: microsoft
databricks-notebooks,A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow
Organization: microsoft
databricks-notebooks,Time series forecasting using Prophet and Apache Spark
User: mychele-larson
databricks-notebooks,This New Relic standalone integration polls the Apache Spark REST API for metrics and pushes them into New Relic using Metrics API It uses the New Relic Telemetry sdk for go
Organization: newrelic-experimental
databricks-notebooks,Example of what you can do in Databricks in the Secure Data Environment (SDE) using Python, SQL, and R.
Organization: nhsdigital
Home Page: https://digital.nhs.uk/services/secure-data-environment-service/secure-data-environment/user-guides
databricks-notebooks,code, labs and lectures for the course
User: osin-vladimir
databricks-notebooks,Cloud Workshop Azure Databricks
User: retkowsky
databricks-notebooks, Feature Engineering, Spark ML Random Forest Model, Log MLFlow, Streaming Data Source
User: richiebachala
databricks-notebooks,Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard
User: rochitasundar
databricks-notebooks,Analyzing NYC bike data with Azure Databricks
User: sfrechette
databricks-notebooks,Project on word count using pySpark, data bricks cloud environment.
User: sudheera96
databricks-notebooks,The repository for Scala Spark workshop held by Tenaris Data Science Department in universities
Organization: tenaris
databricks-notebooks,Azure Databricks - Advent of 2020 Blogposts
User: tomaztk
databricks-notebooks,Este projeto se trata de um simples etl com um dataset com as variações dos preços diários do bitcoin no período de 2020-2022. Os códigos do notebook foram desenvolvidos tanto em pyspark quanto em sql, numa simulação de solucão referentes a perguntas de négocio.
User: victorandradebr
databricks-notebooks,Utlised Azure services to orchestrate earthquake daily data pipeline from USGS, consisting of last 7 days of data. Data was transformed and loaded into Azure SQL database and finally Tableau dashboard was made.
User: waqarg2001
databricks-notebooks,Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.
User: yvgupta03
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