How to use Spark and Pandas to prepare big data

Databases Big Data Big Data Infrastructure

Apache Spark Landing Page
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Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Pricing:
- Open Source
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce).

#Databases #Big Data #Big Data Analytics 56 social mentions
Pandas Landing Page
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Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pricing:
- Open Source
We’ve learned a lot while setting up Spark on AWS EMR. While this post will focus on how to use PySpark with Pandas, let us know in the comments if you’re interested in a future article on how we set up Spark on AWS EMR.

#Data Science And Machine Learning #Data Science Tools #Python Tools 196 social mentions
Amazon S3 Landing Page

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Amazon S3

Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce).

#Cloud Hosting #Object Storage #Cloud Storage 170 social mentions
Amazon EMR Landing Page

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Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce).

#Big Data #Big Data Tools #Big Data Infrastructure 10 social mentions
Apache Arrow Landing Page
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Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.
Pricing:
- Open Source
Pandas user-defined function (UDF) is built on top of Apache Arrow. Pandas UDF improves data performance by allowing developers to scale their workloads and leverage Panda’s APIs in Apache Spark. Pandas UDF works with Pandas APIs inside the function, and works with Apache Arrow to exchange data.

#Databases #NoSQL Databases #Relational Databases 33 social mentions