Pyspark Libraries

12 Components & Libraries

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Pyspark Libraries

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.

Linkis builds a layer of computation middleware between upper applications and underlying engines. By using standard interfaces such as REST/WS/JDBC provided by Linkis, the upper applications can eas…

Expressive analytics in Python at any scale.

Ibis is a Python library that provides a lightweight, universal interface for data wrangling. It helps Python users explore and transform data of any size, stored anywhere. Ibis has three primary com…

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.

Contents For example to trigger installation of GPU version of tensorflow and opencv, use the following pip command: Petastorm supports extensible data codecs. These enable a user to use one of the s…

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

The reference book for these and other Spark related topics is: The following notebooks can be examined individually, although there is a more or less linear 'story' when followed in sequence. By usi…

MapReduce, Spark, Java, and Scala for Data Algorithms Book

The book's codebase can also be downloaded from the git repository at: Thank you!

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

Currently we support the following databases and data warehouses For connecting and loading all your tooling data into a data warehouse, we are integrating with Airbyte connectors. For everything rel…

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Functions, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

See Also: repos which contains hundreds more scripts and programs for Cloud, Big Data, SQL, NoSQL, Web and Linux. Hari Sekhon Cloud & Big Data Contractor, United Kingdom List all programs: Run an…

Fundamentals of Spark with Python (using PySpark), code examples

But, PySpark+Jupyter combo needs a little bit more love :-) Resilient Distributed Datasets (RDD) is a fundamental data structure of Spark. It is an immutable distributed collection of objects. Each d…

Open Source Contributor Index

OSCI, an open source project, aiming to track and measure open source activity on GitHub by commercial organizations. It allows organizations, communities, analysts and individuals involved in Open S…

Spark 2.0 Python Machine Learning examples

This repository is part of a series on Apache Spark examples, aimed at demonstrating the implementation of Machine Learning solutions in different programming languages supported by Spark. Java is t…

Spark-and-Kafka_IoT-Data-Processing-and-Analytics

Final Project for IoT: Big Data Processing and Analytics class. Analyzing U.S nationwide temperature from IoT sensors in real-time

If you need to generate 10,000 sensors data: In this project, I achieved 4 types of real-time analysis. ####(4) Total number of sensors The result shows console output of Spark Streaming which proces…