PySpark
記事

dev.to 2019/09/22
dev.to 2019/07/06
hackingandslacking... 2019/04/26
towardsdatascience... 2018/12/16
towardsdatascience... 2018/04/30
towardsdatascience... 2018/02/19
developerzen.com 2017/01/24
リポジトリ

github.com 2019/07/23

Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.

github.com 2019/07/23

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

github.com 2018/06/15

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

github.com 2018/01/28

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text pre

github.com 2017/12/28

Example project implementing best practices for PySpark ETL jobs and applications.

github.com 2017/09/24

State of the Art Natural Language Processing

github.com 2017/08/27

This is a repo documenting the best practices in PySpark.

github.com 2017/07/13

:truck: Agile Data Science Workflows made easy with Pyspark

github.com 2017/06/05

Microsoft Machine Learning for Apache Spark

github.com 2017/03/12

Process Human Text in TensorFlow / Sklearn / PySpark

github.com 2017/01/15

A boilerplate for writing PySpark Jobs

github.com 2016/11/25

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

github.com 2016/07/06

Code base for the Learning PySpark book (in preparation)

github.com 2016/06/02

Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks

github.com 2016/02/01

A curated list of awesome Apache Spark packages and resources.

github.com 2015/10/27

75+ DevOps CLI Tools - Spark, HBase, Hadoop, Log Anonymizer, Ambari Blueprints, AWS CloudFormation, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Elasticsearch, Solr, Hive, Impala, Pig, Travis CI, IPython - Python

github.com 2015/09/21

Jupyter magics and kernels for working with remote Spark clusters

github.com 2015/05/06

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

github.com 2015/03/12

PySpark-Tutorial provides basic algorithms using PySpark

github.com 2014/10/15

PySpark + Scikit-learn = Sparkit-learn

動画

www.youtube.com 2019/10/21

Finding policies that lead to optimal outcomes for an organization are some of the most difficult challenges facing decision makers within an organization.

www.youtube.com 2019/09/25

My website: https://www.datamaking.com/ My blog: https://www.datasciencewiki.com/ PySpark 101 Tutorial: ...

www.youtube.com 2017/08/24

In this video I have explained about how to read hive table data using the HiveContext which is a SQL execution engine. I have explained using pyspark shell ...

www.youtube.com 2017/07/05

Filmed at PyData Barcelona 2017 https://pydata.org/barcelona2017/schedule/presentation/42/ www.pydata.org PyData is an educational program of ...

www.youtube.com 2016/03/26

PyData Amsterdam 2016 Description This talk assumes you have a basic understanding of Spark (if not check out one of the intro videos on youtube ...

参考書

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