A peek into Location Data Science at Ola

Databases Big Data Stream Processing

Apache Spark Landing Page
1

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
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.

#Databases #Big Data #Big Data Analytics 56 social mentions
Pandas Landing Page
2

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
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.

#Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions
Apache Kafka Landing Page
3

Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Pricing:
- Open Source
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.

#Stream Processing #Data Integration #ETL 120 social mentions
Hadoop Landing Page
4

Hadoop

Open-source software for reliable, scalable, distributed computing
Pricing:
- Open Source
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.

#Databases #NoSQL Databases #Big Data 15 social mentions
Apache Flink Landing Page
5

Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Pricing:
- Open Source
This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.

#Stream Processing #Big Data #Developer Tools 27 social mentions