chetnachaudhari Goto Github PK
Name: Chetna Chaudhari
Type: User
Company: Kotahi, Flipkart, SAP, SkyTV
Bio: Data engineer, data architect
Twitter: cchaudhari11
Location: Auckland
Chetna Chaudhari's Projects
dockerisedkafkatopostgrespipeline
A dockerised application to ETL data from Kafka to Postgres
dr-elephant
Performance monitoring and tuning tool for Apache Hadoop
dropwizard-swagger
a Dropwizard bundle that serves Swagger UI static content and loads Swagger endpoints.
engineering-blogs
A curated list of engineering blogs
fabric-docs
Public repo for the fabric-docs-pr pair
facebook-hive-udfs
Facebook's Hive UDFs
hadoop
Mirror of Apache Hadoop
hadoosh
Hadoop Interactive Shell
hazelcast
Open Source In-Memory Data Grid
hdfs-shell
HDFS Shell is a HDFS manipulation tool to work with functions integrated in Hadoop DFS
hibench
HiBench is a big data benchmark suite.
hive
Mirror of Apache Hive
hive-benchmarks-jdbc
A tool to run hive benchmarks queries using JDBC, along with job counters collection in Mysql database.
hive-testbench
Testbench for experimenting with Apache Hive at any data scale.
interactive-tutorials
Interactive Tutorials
japicmp
Comparison of two versions of a jar archive
jgit
JGit project repository (jgit)
jmxtrans
jmxtrans
jodie
Delta lake and filesystem helper methods
kafka
Mirror of Apache Kafka
kafka-delta-ingest
A highly efficient daemon for streaming data from Kafka into Delta Lake
kafka-docker-playground
🐳 Fully automated Kafka and Confluent Docker based examples
kafka-flink-delta
kaggle_work
A repo to hold all data explorations done on kaggle
kraken
P2P Docker registry capable of distributing TBs of data in seconds
logging-log4j2
Mirror of Apache Logging Log4J2
metrics
:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on.
open-api
We are working on a new version of Etsy’s Open API and want feedback from developers like you.
pyapacheatlas
A python package to help work with the apache atlas REST APIs
pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
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