Search Results for "etl."

...Your cloud is a live database that changes fast. Don't wait on ETL to sync, or rely on old data. Crunch it where it's born, fueling new use cases and swift decisions.

Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON.

...InfluxDB provides infrastructure and application monitoring, IoT monitoring and analytics and more. It has APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes. This data can also be visualized, explored and more to help businesses seize opportunities and make the best decisions. InfluxDB is easy to start and easy to scale. Learn more about it on https://www.influxdata.com/

TiDB is an open source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is currently the most actively developed open source NewSQL database, and has a rich set of features including horizontal scalability, strong consistency, and high availability.

Erigon is an implementation of Ethereum (execution client), on the efficiency frontier, written in Go. For an Archive node of Ethereum Mainnet we recommend >=3TB storage space: 1.8TB state (as of March 2022), 200GB temp files (can symlink or mount folder <datadir>/etl-tmp to another disk). Ethereum Mainnet Full node ( see --prune* flags): 400Gb. Erigon by default is "all in one binary" solution, but it's possible start TxPool as separated processes. Same true about: JSON RPC layer (RPCDaemon), p2p layer (Sentry), history download layer (Downloader), consensus. Don't start services as separated processes unless you have clear reason for it: resource limiting, scale, replace by your own implementation, security. ...

...Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines.

Dungbeetle is a metadata and data lineage tracking tool developed by Zerodha to map and visualize how data flows across systems. It helps teams maintain data transparency by tracking dependencies between databases, tables, and reports, offering a centralized view of data pipelines. Dungbeetle is designed to enhance observability and trust in analytics ecosystems.

Compose Transporter helps with database transformations from one store to another. It can also sync from one to another or several stores. This version officially only supports the mongodb and postgresql adaptors. Support for other DBs will be added later on. Other adaptors may or may not work. You're encouraged to still use v0.5.2 for non mongo/postgres migrations. Transporter allows the user to configure a number of data adaptors as sources or sinks. These can be databases, files or other...