The repository showcases a series of exercises and projects focused on big data processing using Hadoop, HBase, Hive, and Spark with Python. Hosted on AWS EMR, these projects demonstrate efficient data handling and processing techniques, leveraging the power of cloud computing to tackle complex data challenges.
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.
JanusGraph: an open-source, distributed graph database
Building a stock broker web application using Apache HBase, Fast API and React js
Scriptable, multipurpose mock server. Run standalone mock servers, or embed mocks within your tests.
Learning summary and examples about data systems.
More than 2000+ Data engineer interview questions.
A large-scale entity and relation database supporting aggregation of properties
Hbase operator for kubernetes
etl engine 轻量级 跨平台 流批一体ETL引擎 数据抽取-转换-装载 ETL engine lightweight cross platform batch flow integration ETL engine data extraction transformation loading
Registry for plugin repos to NoSQL document databases leveraging the Hackolade data modeling engine
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