Tag Archives: TCS

In Days, We Migrate a Petabyte of data to Snowflake, S3, Redshift & HDFS; about $30K for AWS, Our Team & App. “Snowflake Doc shows from Staging, 1PB in 35 Hours”. The obstacle is the weeks to months to get 1 PB data to staging! Not For Us

In Days, We Migrate a Petabyte of data to Snowflake, S3, Redshift & HDFS; about $30K for AWS, Our Team & App. “Snowflake Doc shows from Staging, 1PB in 35 Hours”. The obstacle is the weeks to months to get 1 PB data to staging! Not For Us, Our Spark has No limit in Parallel processing.

With Spark 2.4.5’s Memory Framework & Speed, & our Comprehensive Java code, JDBC & Native methods, we deliver in days what takes others weeks to months, even from ON-PREM!

Probabilistic matching, within & across, file systems & servers allows the Discovery of disguised & valued relationships within your data.

We Migrate from Oracle, SQL Server, DB2, Teradata, PostgreSQL, MySQL, S3, Hadoop, Redshift & Snowflake to the 4 Data Lakes.

Schema creation for data in motion. PII identified & Encrypted for data in motion or at rest.

We Deliver the Application & Knowledge to make your Data Lakes a success; & only about $3K for smaller 10 TB data lakes.

#1 CCPA/GDPR Delivery.

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

Price Subject to Change

#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

Cloud, Data Lake/Warehouse Migration Considerations. We migrate 500M Rows in Minutes. Fuzzy Matching across File/Column Correlations to find Disguised Data normally lost. $35k Annual Subscription with 5 days training/consulting

Cloud, Data Lake/Warehouse Migration Considerations. We migrate 500M Rows in Minutes. Fuzzy Matching across File/Column Correlations to find Disguised Data normally lost. $35k Annual Subscription with 5 days training/consulting.

Considerations;

1 Privacy, Security requirements. We Discover and Encrypt PII

2 With our Migration Speeds is Change Data Capture or timely rebuilds more effective?

3 Creation of Metadata for improved understanding

4 Data Profiling for data stats & completeness

5 Outlier Discovery for anomalies

6 Fuzzy matching to improve MDM completeness

7 Training In-House Staff for 1-6 on Application

We Deliver the Application & Knowledge to make your Data Lake a success.

500M Row Tables to; Snowflake 16 Mins, Redshift 24 Mins, S3 18 Mins, HDFS 10 Mins. One single process, setup in seconds using our Spark 2.4.5 App. We Migration from Oracle, SQL Server, DB2, Teradata, PostgreSQL, MySQL, S3, Hadoop, Redshift & Snowflake.

#1 CCPA/GDPR Delivery.

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

Price Subject to Change

#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

post100

Can you afford years for a Data Lake? How about just a few months? Societal changes have affected our buying habits. You need to understand changes in Consumers buying habits before your competitors.

Can you afford years for a Data Lake? How about just a few months? Societal changes have affected our buying habits. You need to understand changes in Consumers buying habits before your competitors. Dr. Appts, Digital Malls, Banking, Auto dealers, are more like Groceries & Amazon deliveries. Data Lakes can supply those understandings. We can Migrate & Enhance Data Lakes quickly & organized.

Additional advantages of DP-OPM;

  1. No need for days of Data Prep. Just Point and Click & in Seconds your Migration begins.
  2. Between 9-24 minutes to ingest 500M rows. Redshift(24 Mins), Snowflake(16 Mins),

S3(18 Mins) & Hadoop(9 Mins).

  1. Auto creation of Data Lake schemas.
  2. Fuzzy matching to enhance statistics
  3. Discovery, and Encryption of PII while Data is in Motion or at rest.
  4. Biometrics/OCR
  5. Metadata/Outliers/Data Profiling for added accuracy

We are a Spark 2.4.5 Framework. Migrating to: Redshift, Snowflake, S3, Hadoop & others soon.

#1 CCPA/GDPR/GRC App.

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

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Redshift Migration fast-tracked! 500M row table Migrated in 33 Minutes from Oracle to Redshift in a single process, setup in seconds, using our Spark App!

Redshift Migration fast-tracked! 500M row table Migrated in 33 Minutes from Oracle to Redshift in a single process, setup in seconds, using our Spark App! We’ve also fast-tracked Migration from Oracle, Teradata, SQL Server, PostgreSQL, MySQL, S3, Hadoop & Redshift to Redshift in under 35 minutes for 500M rows. We also achieved Migration of 500M row files to Hadoop in 9 minutes, Snowflake in 16 minutes & S3 in under 15 minutes. Microsoft Synapse in June.

Build Data Lakes in weeks. DP-OPM Spark Migration includes PII Discovery, Encryption & Schema Creation, file compression while In-Motion.

Fuzzy Matching across all File/Column Correlations so Data Scientists / Analysts can find Disguised Data normally lost in reporting from Data Lakes.

CMOs; Reduce Data Lake efforts with Automated Technology. Create Data Lakes in Weeks to enable more targeted marketing & Customer Service Appreciation.

A Spark 2.4.5 Framework for exceptional speed.

#1 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 #Teradata

redshift fast track

Breakthrough! Snowflake Ingestion of Oracle 500M row table in 16 Minutes on AWS in 1 process, 9 Mins to Hadoop & setup in seconds using our GUI & Spark 2.4.5 App!

Breakthrough! Snowflake Ingestion of Oracle 500M row table in 16 Minutes on AWS in 1 process, 9 Mins to Hadoop & setup in seconds using our GUI & Spark 2.4.5 App! DP-OPM from DPIAComply is committed to accelerating Migration from Oracle, SQL Server, DB2, S3, Teradata, PostgreSQL, MySQL, Hadoop & Redshift to Snowflake in under 20 minutes for 500M rows. We also achieve this time to S3 & Redshift. We may migrate to Microsoft Synapse in June.

Build Data Lakes in weeks. DP-OPM Spark Migration includes PII Discovery, Encryption & Schema Creation while In-Motion.

Fuzzy Matching across all File/Column Correlations so Data Scientists / Analysts can find Disguised Data normally lost in reporting from Data Lakes.

CMOs; Reduce Data Lake efforts with Automated Technology. Create Data Lakes in Weeks to enable more targeted marketing & Customer Service Appreciation.

A Spark 2.4.5 Framework for exceptional speed.

#1 CCPA/GDPR Delivery.

847-440-4439 https://lnkd.in/ePyxxBk www.dpiacomply.com https://lnkd.in/eZaDs5C

snowflakebreakthrough

Fixed Bid $5K Weekly – Data Lake Migrations. 500M Rows/HDFS 20 Minutes. Data Privacy via Encryption. Migrate to; Redshift, Snowflake, S3, Hadoop. Billions of rows a day from; Oracle, Teradata, DB2, MySQL, PostgreSQL, Redshift, S3, Snowflake, HDFS

Fixed Bid $5K Weekly – Data Lake Migrations. 500M Rows/HDFS 20 Minutes. Data Privacy via Encryption. Migrate to; Redshift, Snowflake, S3, Hadoop. Billions of rows a day from; Oracle, Teradata, DB2, MySQL, PostgreSQL, Redshift, S3, Snowflake, HDFS. No Data Prep & Seconds to start a process.

No Pre-Processing of Files! Find hidden value through Fuzzy Matching across all columns, rows and files.

Analyze metadata statistics through profiling & outlier discovery to improve data Ingestion into your data lake processes.

Protect Personal Data via AES 256K Encryption. Though Snowflake encrypts all data it ingests, if you Encrypt data prior to Ingestion, your Encryption stays in place even when Snowflake decrypts for Users to view. Sensitive fields will remain protected even if hackers or others obtain your data.

For Data Lakes with no Encryption process, our Discovery & Encryption of Personal Data, while being Ingested into your Data Lake, becomes invaluable.

#1 CCPA/GDPR 360 Degree 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 #Migration #Fuzzy Matching

Video; Snowflake Migration at astonishing speeds (100M rows from Oracle, 27 minutes with Discovery, 10M in under 4 minutes) in a Spark Framework

Video; Snowflake Migration at astonishing speeds (100M rows from Oracle, 27 minutes with Discovery, 10M in under 4 minutes) in a Spark Framework; Discovery / Encryption of Personal Data, Auto Schema Creation while Data In-Motion. We Migrate SQL Server, MySQL, DB2, Teradata, PostgreSQL, S3, Redshift, HDFS to; S3, Redshift, Snowflake & HDFS, with Auto Schemas & PII Discovery/Encryption. Process takes seconds to setup, rapid migration.

Build Data Lakes in weeks. DP-OPM, Spark Migration with PII Discovery, Encryption & Schema Creation while In-Motion.

Fuzzy Matching across all File/Column Correlations so Data Scientists / Analysts can find Disguised Data normally lost in reporting from Data Lakes.

CMOs; Reduce Data Lake efforts with Automated Technology. Automatically create Data Lakes in Weeks. Uncover hidden knowledge by using Fuzzy Matching with File & Column Data correlations (misspellings, values with slight differences…).

A Spark 2.4.5 Framework for exceptional speed.

#1 CCPA/GDPR 360 Degree 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