Cut Months-Years off Data Migration projects! Limit ETL & Dev/Ops & consider our Spark MPP Pipeline App. 1-Step Migration to Cloud Data Lakes. 10-Second set-up.  Our Massively Paralleled Processing Pipeline

Cut Months-Years off Data Migration projects! Limit ETL & Dev/Ops & consider our Spark MPP Pipeline App. 1-Step Migration to Cloud Data Lakes. 10-Second set-up.  Our Massively Paralleled Processing Pipeline uses Algorithms, Spark’s Cores, Executors, Memory & Fetch Sizes to achieve unparalleled speed & ease. We use Algorithms to divide files into numerous smaller compressed files for maximum ingestion speeds. The 10-second, straightforward MPP Pipeline step is completely automated & will auto-create schema’s in the target data lake on the cloud of your choice.

Migrate from Oracle ,SQL Server, Teradata, DB2, MySQL, PostgreSQL, S3, Snowflake, Redshift, HDFS to S3, Snowflake, Redshift, HDFS, more soon.  We processed 500M rows to Snowflake in “7.5 minutes”

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

Create Data Lakes in Days/Weeks.

CCPA/GDPR Delivery.

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

post500

Advertisement

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 )

Facebook photo

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

Connecting to %s