Our Spark 2.4.5 Migration engine reached new technological levels! 500M rows to Snowflake in “12-Mins”

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

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

 

  1. 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

#CCPA #GDPR #AWS #Encryption #Breach #Snowflake #Redshift #Hadoop #S3 #Microsoft #MySQL #Oracle #Informatica #DB2 #Hadoop #Talend #Spark #PII #ML #TCS #CIO #CMO #Data Lake #NoSQL #Azure #Google #Cloud #Synapse #Big Data

post200

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s