Akshaya Rawat
akshayarawat
Senior Specialist Platform
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Publicis Sapient
Recent Tech Decisions
15 points
Tools akshayarawat is Following
Docker
docker.com
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, en...
Python
python.org
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for it...
Node.js
nodejs.org
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for d...
React
reactjs.org
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technolog...
MongoDB
mongodb.com
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema....
Redis
redis.io
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and mess...
Cassandra
cassandra.apache.org
Partitioning means that Cassandra can distribute your data across multiple machines in an application-trans...
HBase
hbase.apache.org
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtabl...
Apache Spark
spark.apache.org
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters th...
Presto
prestodb.io
Distributed SQL Query Engine for Big Data
Apache Flink
flink.apache.org
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports bat...
Apache Kudu
kudu.apache.org
A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable ...
StreamSets
streamsets.com
An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver...
Testcontainers
testcontainers.org
It is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databa...
Delta Lake
delta.io
An open-source storage layer that brings ACID transactions to Apache Sparkā¢ and big data workloads.