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https://github.com/KennethanCeyer/awesome-data-pipeline

Awesome list for datapipeline
https://github.com/KennethanCeyer/awesome-data-pipeline

architecture awesome awesome-list big-data bigdata cloud data data-engineering dataeng datalake datapipeline datawarehouse hadoop hive opensource query spark

Last synced: 16 days ago
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Awesome list for datapipeline

Host: GitHub
URL: https://github.com/KennethanCeyer/awesome-data-pipeline
Owner: KennethanCeyer
License: cc0-1.0
Created: 2021-03-08T03:59:47.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2023-02-06T12:06:05.000Z (almost 2 years ago)
Last Synced: 2024-04-14T03:17:48.303Z (8 months ago)
Topics: architecture, awesome, awesome-list, big-data, bigdata, cloud, data, data-engineering, dataeng, datalake, datapipeline, datawarehouse, hadoop, hive, opensource, query, spark
Homepage: https://github.com/KennethanCeyer/awesome-data-pipeline
Size: 200 KB
Stars: 20
Watchers: 4
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE
- Code of conduct: code-of-conduct.md

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ultimate-awesome - awesome-data-pipeline - Awesome list for datapipeline. (Other Lists / Monkey C Lists)

README

        # Awesome Data Pipeline [![Awesome](https://awesome.re/badge.svg)](https://github.com/sindresorhus/awesome)

Awesome list for Data Pipeline



:white_check_mark: **Data Pipeline** is: 


A series that moves data from source to destination efficiently and automatically.

## Contents

- [Components](#components)

  - [Workflow Management](#workflow-management)

  - [Data Ingestion](#data-ingestion)

  - [Data Lake](#data-lake)

  - [Data Warehouse](#data-warehouse)

  - [Data Store](#data-store)

  - [Query Engine](#query-engine)

  - [Streaming](#streaming)

  - [Data Transformation](#data-transformation)

  - [Data Analysis](#data-analysis)

  - [Data Format](#data-format)

  - [Business Intelligence](#business-intelligence)

  - [AI/ML](#aiml)

- [Community](#community)

  - [Vendors](#vendors)

  - [Open Source / Foundation](#open-source--foundation)

- [Materials](#materials)

  - [Books](#books)

  - [Dummies Guide](#dummies-guide)

## Components

### Workflow Management

- [Apache Airflow](https://airflow.apache.org/) - (Apache foundation / Airbnb / Open Source / Free).

- [Apache Argo](https://argoproj.github.io/argo-workflows/) - (CNCF foundation / Kubernetes-friendly / Open Source / Free).

- [Apache NiFi](https://nifi.apache.org/) - (Apache foundation / Dataflow / Free).

- [Luigi](https://luigi.readthedocs.io/en/stable/) - (Spotify / Open Source / Free).

- [Azure Data Factory](https://azure.microsoft.com/en-us/services/data-factory/) - (Azure Cloud / Subscription fee).

### Data Ingestion

- [Apache Flume](https://flume.apache.org/) - (Apache foundation / Data Ingestion / Open Source / Free).

- [Stitch](https://www.stitchdata.com/) - (Talend / ETL / Subscription fee).

- [Logstash](https://www.elastic.co/logstash/) - (Elastic / Data Ingestion / Cloud or On-prem / Hybrid fee).

- [Filebeat](https://www.elastic.co/beats/filebeat) - (Elastic / Data Ingestion / Cloud or On-prem / Hybrid fee).

- [Fluentd](https://www.fluentd.org/) - (CNCF foundation / Open Source / Free or License fee).

- [Datadog](https://www.datadoghq.com/) - (Datadog / Cloud / APM / Subscription fee).

- [New Relic](https://newrelic.com/) - (New Relic / Cloud / APM / Subscription fee).

### Data Lake

- [Hadoop File System (HDFS)](https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#Introduction) - (Hybrid / Open Source / Hadoop-ecosystem).

- [AWS S3](https://aws.amazon.com/en/s3/) - (AWS Cloud / Stroage Object).

- [Azure Blob Storage](https://azure.microsoft.com/en-us/services/storage/blobs) - (Azure Cloud / Storage Object).

- [GCP Cloud Storage](https://cloud.google.com/storage/?hl=en) - (Google Cloud / Storage Object).

- [Databricks Delta Lake](https://databricks.com/product/delta-lake-on-databricks) - (Hybrid / Multi-cloud / Open Source).

### Data Warehouse

- [Aapache Hive](https://hive.apache.org/) - (Apache foundation / Hadoop-friendly / MapReduce / Free).

- [Snowflake](https://www.snowflake.com/) - (Multi-cloud / SQL-friendly / Subscription fee).

- [AWS Redshift](https://aws.amazon.com/en/redshift/) - (AWS Cloud / SQL-friendly / Subscription fee).

- [Azure Synapse Analytics](https://azure.microsoft.com/en-us/services/synapse-analytics/) - (Azure Cloud / SQL-friendly / Subscription fee).

- [GCP BigQuery](https://cloud.google.com/bigquery/) - (Google Cloud / SQL-friendly / On-demand fee).

- [IBM DB2](https://www.ibm.com/us-en/products/db2-database) - (IBM / On-prem / SQL-friendly / Subscription fee).

### Data Store

- [Apache Druid](https://druid.apache.org/) - (Apache foundation / Real-time datastore / Free).

- [Apache Pinot](https://pinot.apache.org/) - (Apache foundation / Real-time datastore / Free).

- [AWS Aurora](https://aws.amazon.com/en/rds/aurora/) - (AWS Cloud / Rich-cloud datastore / Subscription fee).

- [GCP Cloud Spanner](https://cloud.google.com/spanner/) - (Google Cloud / HA datastore that breaks away from CAP / Subscription fee).

- [Azure Cosmos DB](https://azure.microsoft.com/en-us/free/cosmos-db/) - (Azure Cloud / NoSQL datastore / Subscription fee).

### Query Engine

- [Presto](https://prestodb.io/) - (Facebook / Open Source / SQL-friendly / Free or License fee).

- [Apache Impala](https://impala.apache.org/) - (Apache foundation / Cloudera / Open Source / SQL-friendly / Free or License fee).

- [AWS Athena](https://aws.amazon.com/en/athena/) - (AWS Cloud / SQL-friendly / On-demand fee).

- [AWS Redshift Spectrum](https://docs.aws.amazon.com/en_us/redshift/latest/dg/c-using-spectrum.html) - (AWS Cloud / SQL-friendly / On-demand fee).

### Streaming

- [Apache Kafka](https://kafka.apache.org/) - (Apache foundation / Confluent / Linkedin / Message Broker / Open Source / Free or License fee).

- [RabbitMQ](https://www.rabbitmq.com/) - (VMWare / Messaging Queue / Free or License fee).

- [AWS Kinesis](https://aws.amazon.com/en/kinesis/) - (AWS Cloud / Message Broker / Subscription fee).

- [AWS SQS](https://aws.amazon.com/en/sqs/) - (AWS Cloud / Messaging Queue / Subscription fee).

- [GCP PubSub](https://cloud.google.com/pubsub/) - (Google Cloud / Message Borker / Subscription fee).

- [Azure Event Hub](https://azure.microsoft.com/en-us/services/event-hubs/) - (Azure Cloud / Messsage Borker / Subscription fee).

### Data Transformation

- [Apache Spark](https://spark.apache.org/) - (Apache foundation / Databricks / In-memory processing / Open Source / Free or License fee).

- [Apache Beam](https://beam.apache.org/) - (Apache foundation / Google / Data processing / Open Source / Free or License fee).

- [Apache Storm](https://storm.apache.org/) - (Apache foundation / Backtype / Twitter / Stream processing / Open Source / Free).

- [Apache Flink](https://flink.apache.org/) - (Apache foundation / Stream processing / Open Source / Free).

- [AWS Glue](https://aws.amazon.com/en/glue/) - (AWS Cloud / Integrated Data System / ETL / On-demand fee).

### Data Analysis

- [Apache Superset](https://superset.apache.org/) - (Apache foundation / Airbnb / Business Intelligence (BI) / Open Source / Free).

- [Apache Airpal](http://airbnb.io/airpal/) - (Apache foundation / Airbnb / Query Editor / Open Source / Free).

- [Apache HUE](https://gethue.com/) - (Apache foundation / Cloudera / Query Editor / Open Source / Free).

- [Kibana](https://www.elastic.co/kibana/) - (Elastic / Dashboard / Hybrid fee).

- [Databricks Notebook](https://docs.databricks.com/notebooks/index.html) - (Databricks / Notebook / Hybrid fee).

- [Jupyter Notebook](https://jupyter.org/) - (Jupyter / Notebook / Open Source / Free).

- [Pandas](https://pandas.pydata.org/) - (NumFOCUS / Data processing / Open Source / Free).

- [Plotly](https://plotly.com/) - (Plotly / Data visualization / Hybrid fee).

### Data Format

- [Apache Parquet](https://parquet.apache.org/) - (Apache foundation / Data Format / Open Source / Free).

- [Apache ORC](https://orc.apache.org/) - (Apache foundation / Hortonworks / Facebook / Data Format / Open Source / Free).

- [Apache Avro](https://avro.apache.org/) - (Apache foundation / Data Format / Open Source / Free).

- [Apache Kudu](https://kudu.apache.org/) - (Apache foundation / Cloudera / Data Format / Open Source / Free).

- [Apache Arrow](https://arrow.apache.org/) - (Apache foundation / Data Format / Open Source / Free).

- [Delta](https://delta.io/) - (Databricks / Data Format / Free or License fee).

- [JSON](https://www.json.org/) - (Data Format / Free).

- [CSV](https://en.wikipedia.org/wiki/Comma-separated_values) - (Data Format / Free).

- [TSV](https://en.wikipedia.org/wiki/Tab-separated_values) - (Data Format / Free).

- [HDF5](https://www.hdfgroup.org/solutions/hdf5/) - (The HDF Group / Data Format / Open Source (licensed by [HDF5](https://www.hdfgroup.org/licenses.)) / Free).

### Business Intelligence

- [Apache Zeppelin](https://zeppelin.apache.org/) - (Apache foundation / Business Intelligence (BI) / Open Source / Free or License fee).

- [Tableau](https://www.tableau.com/) - (Salesforce / Business Intelligence (BI) / Hybrid fee).

- [Redash](https://redash.io/) - (Redash Inc / Databricks / Business Intelligence (BI) / Hybrid fee).

- [Looker](https://looker.com/) - (Looker Data Sciences Inc / Business Intelligence (BI) / Subscription fee).

- [Data Studio](https://datastudio.google.com/) - (Google Cloud / Business Intelligence (BI) / Free).

- [PowerBI](https://powerbi.microsoft.com/) - (Microsoft / Business Intelligence (BI) / Subscription fee).

### AI/ML

- [H2O](https://www.h2o.ai/) - (H2O.ai / Model Evaluation / Subscription fee).

- [Feast](https://feast.dev/) - (Tecton / Gojek / Feature Store / Open Source / Free).

- [Vertex AI](https://cloud.google.com/vertex-ai) - (Google Cloud / Hybrid Features for AI / Subscription fee).

- [Data Robot](https://www.datarobot.com/) - (DataRobot Inc / Feature Engineering / Subscription fee).

- [WandB](https://wandb.ai/) - (Weights & Biases / Model Evaluation / Subscription fee).

## Community

### Vendors

- [Databricks | Data + AI Summit](https://databricks.com/dataaisummit)

- [Snowflake | Snowflake Summit](https://www.snowflake.com/summit/)

### Open Source / Foundation

- [Kafka Summit](https://www.kafka-summit.org/)

- [Airflow Summit](https://airflowsummit.org/)

## Materials

### Books

- [O'Reilly - Data Pipelines Pocker Reference](https://books.google.com/books?id=SxgcEAAAQBAJ&printsec=frontcover)

- [Manning - Data Pipeline with Apache Airflow](https://books.google.com/books?id=8EwnEAAAQBAJ&printsec=frontcover)

### Dummies Guide

- [Snowflake](https://www.snowflake.com/resource/snowflake-dummies-guides/)

- [Databricks](https://databricks.com/p/ebook/modern-cloud-data-platform-for-dummies)