Our Spark 2.4.5 Migration engine reached new technological levels! 500M rows to Snowflake in “12-Mins” from 1 AWS Oracle server to a Snowflake AWS instance with Auto Schema creation. 1-step Spark process, 6 second setup & No additional data prep or human intervention.

1. Algorithms that split large files into many smaller compressed files for most efficient Data Lake

ingestion using multiple parallel processing techniques

2. Determines Spark’s & AWS’s optimal memory, processors, fetch size, & parameters

3. Runs contiguous pipes from A-Z for optimal speed, taking advantage of parallel processes

Migrate from Oracle ,SQL Server, Teradata, DB2, MySQL, PostgreSQL, S3, Snowflake, Redshift, HDFS to S3, Snowflake, Redshift, HDFS, more soon.

Fuzzy Matching across all File/Column Correlations so Data Scientists can find Disguised Data lost in reporting from Data Lakes. Discover & Encrypt PII, as necessary.

Create Data Lakes in Days/Weeks & enable Data, Scientists/Analysts.

847-440-4439 https://youtu.be/gFSlitXAhKw  www.dpiacomply.com https://lnkd.in/eZaDs5C

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