Aleksey Repin's starred repositories
airflow-clickhouse-plugin
The most popular ClickHouse plugin for Airflow. 🔝 Top-1% downloads on PyPI: https://pypi.org/project/airflow-clickhouse-plugin! Based on mymarilyn/clickhouse-driver.
FarManager
File and Archive Manager
postgresql-spot
Some of Postgresql features spotlight in md and html form
compose-postgresql-grafana
PostgreSQL + Grafana with test data running in Docker Compose. This is the repo used for the talk I gave at PostgresConf NYC 2019.
postgres-kafka-demo
Fully reproducible, Dockerized, step-by-step, demo on how to stream tables from Postgres to Kafka/KSQL back to Postgres. Detailed blog post published on Medium.
docker-postgresql
Dockerfile to build a PostgreSQL container image which can be linked to other containers.
docker-postgres-backup-local
Backup PostgresSQL to local filesystem with periodic backups and rotate backups.
compose-postgres
Postgresql & pgadmin4 powered by compose
Ultimate-Java-Resources
Java programming. All in one Java Resource for learning. Updated every day and up to date. All Algorithms and DS along with Development in Java. Beginner to Advanced. Join the Discord link.
JavaTutorialForBeginners
Java Tutorial for Beginners with examples
java-for-absolute-beginners
Java For Absolute Beginners, 2018
etl-with-airflow
ETL best practices with airflow, with examples
airflow-tutorial
Apache Airflow tutorial
kafka-docker
Dockerfile for Apache Kafka
flinkk8soperator
Kubernetes operator that provides control plane for managing Apache Flink applications
flink-statefun
Apache Flink Stateful Functions
flink-training
Apache Flink Training Excercises
flink-learning
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
BigData-Interview
:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
flink-simple-tutorial
:bell::pill:flink简易使用教程,结合官方仓库的example样例,结合常见场景,使用flink的基本功能
flink-recommandSystem-demo
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。