Data engineers provide data scientists and analysts with data in a structured form. This includes bringing in data from multiple sources, performing ETL and making it accessible to the data team.
How Synctactic helps Data Engineers
The platform is built in a way to automate a lot of the redundant or repetitive tasks usually done by data engineers.
Sync Discover’s powerful search helps data engineers identify how and where their data is stored. The search provides details to the level of column names and their data types which allows them to easily understand their data. The platform also identifies potential primary and foreign key relationships between data sources, so that data engineers can spend more time preparing data than manually figuring out how their data is structured.
Data Engineers don’t need to worry about writing connectors to all the different databases in their eco-system. Synctactic has all the basic databases covered and keeps updating new connectors as needed. All the credentials to the connections are encrypted and stored securely in Synctactic’s Vault system. The webhooks make it easy to push data into the system in real-time. The file upload supports CSV, TSV, XLS and TXT files.
Drag & Drop ETL
Sync Data makes it easy to process your data in an intuitive and scalable way. Data engineers can quickly set up pipelines by configuring data sources, operators and destinations. The pre-built operators like filters, joins, math functions, null value replacements etc can be applied to data sources and then stored in specified destinations. Schedule pipelines to run at required frequencies or run them manually. Data engineers can also choose between serverless or spark to execute these pipelines.
A high abstraction of data processing might not suit all data engineers. This is why Synctactic provides the flexibility to bring in your own scripts and run it on the code engine block. All your existing scripts can be imported to run on the syntactic platform without any additional environment set-up. Just select your language, code dependencies and upload your script and seamlessly run it on your specified infrastructure. The code engine supports versioning and collaboration as well.