Helping clients rationalize and consolidate their data footprints
It's simple math: more databases means more targets for bad actors. Where databases are many, leaks are not far behind. And, a single data leak can absolutely destroy the credibility and even the financial solvency of an organization. We've helped our clients work through challenges associated with data protection, data isolation, and data security to ensure they reduce the likelihood of a leak.
No company is immune to data leaks but there are several ways you can mitigate data leaks. Running consolidated databases on fewer servers exposes less opportunities for leaks. Fewer databases means easier patching, less dependencies, and lower cost of ownership overall. It also reduces the likelihood of being hacked at points of integration or points of critical vulnerability.
Data warehouses typically require hundreds or even thousands of servers, each split-out into different logical and physical domains and boundaries. For each point of integration for data egress and ingress, incidents leading to official data leaks become more and more possible. But there are some great ways to shore-up an organization's data warehouse footprint.
Amazon Web Services is a scalable, cloud-based, compute ecosystem. There are specific nuances to the configuration, setup, and management that help prevent leaks on the AWS platform, and our team is able to help ensure these best practices are carried out for our clients.
Equifax is a prime example of a large-scale data breach and that changed the way IT leaders look at their data footprints. It's a centerpiece case study of why data consolidation is so critical and what can happen when data rationalization is not observed every so often.
Alan Katawazi, Sr. Consultant at Product Perfect
A study by Gartner found that poor quality data costs the average organization $9.7 million a year and the U.S. economy $3.1 trillion annually
Casandra
Couch DB
IBM DB2
MariaDB
MongoDB
DynamoDB
Elasticsearch
InterBase
MySQL
Firebird
MySQL
Neo4j
Oracle
Redis
SAP HANA
OrientDB
PostgresSQL
SQL Server
AzureSQL
SQLite
Sybase
Informatica
Workato
Census
Skyvia
Dataddo
Fivetran
Hevo Data
Stitch
Talend
Singular
Lyftrondata
Databricks Lakehouse Platform
Azure Data Factory
Supermetrics
Integrate.io
AWS Glue
Trifacta
Qlik Replicate
Matillion
Keboola
Full service data and database coverage for any size of organization.
Senior database consultants with experience on large scale data projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.