#typescript #ab_testing #abtest #abtesting #analytics #bigquery #clickhouse #continuous_delivery #data_analysis #data_engineering #data_science #experimentation #feature_flagging #feature_flags #mixpanel #redshift #remote_config #snowflake #split_testing #statistics

https://github.com/growthbook/growthbook

#java #database #db2 #dbeaver #erd #gui #java #mysql #nosql #oracle #postgresql #redshift #sql #sqlite #sqlserver #tycho

DBeaver is a free, multi-platform tool for managing databases. It supports almost any database with a JDBC driver and even more databases like MongoDB and Cassandra in its commercial versions. It offers many features such as SQL editors, data import/export, and ERD tools. DBeaver is built on the Eclipse platform and uses plugins for additional functionality. You can download it from the official website or GitHub, and it includes Open JDK 17 for easy setup. Using DBeaver helps you manage your databases efficiently across various platforms, making it a valuable tool for developers, SQL programmers, and database administrators.

https://github.com/dbeaver/dbeaver

#java #bigquery #database #dbt #delta_lake #elt #etl #hadoop #hive #hudi #iceberg #lakehouse #olap #query_engine #real_time #redshift #snowflake #spark #sql

Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.

https://github.com/apache/doris

#python #aws #aws_cli #aws_sdk #cloud #cloud_management #cloudformation #cloudwatch #dynamodb #ec2 #ecs #elasticsearch #iam #kinesis #lambda #machine_learning #rds #redshift #route53 #s3 #serverless

AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily.

https://github.com/donnemartin/awesome-aws