Turn file drops into tables
Integrate structured, semi-structured and unstructured files from diverse sources into modern cloud data platforms, ready for analytics, machine learning and AI.
Delivered, implemented and supported by EVIDENTCORE
- sales_orders12,480 rows · 42 sSynced
- business_partners3,106 rows · 11 sQueued
- opportunities8,912 rows · 27 sQueued
- gl_line_items51,337 rows · 1 m 54 sQueued
File replication in 3 steps
- Step 1
Watch a location
Point at an SFTP folder, S3 bucket, ADLS container, SharePoint library or Drive folder.
- Step 2
Match files
Use file patterns and folders to pick which files belong to which table.
- Step 3
Load
New files are parsed, typed and appended or merged into the destination.
What you get with file replication
Many formats
CSV, TSV, JSON, Parquet, Avro and multi-sheet Excel.
Pattern matching
Route files to tables by name pattern, folder or extension.
Append or merge
Keep history by appending, or upsert on a key you choose.
Type inference
Column types are detected automatically and can be overridden.
File-to-file
Move files between SFTP, SharePoint, Drive, S3 and ADLS as well.
Python parsing
Handle odd layouts and headers with a Python step.
Sources
Destinations
Bring one report you rebuild every month
We'll show the Datasyncher pipeline and the dashboard that replace it.