Building a Heroku ETL pipeline can seem like a daunting task. The process seems complicated, and it's hard to know where to start. This post will show how easy it is to build an ETL pipeline with Heroku and Hadoop — and how Xplenty can help simplify the process.

Automated ETL (extract, transform, load) and data integration workflows are essential for the modern data-driven organization, and they can swiftly and efficiently migrate data from sources to a target data warehouse or data lake. But ETL must run at regular intervals — or even in real-time — so how can you know which information is fresh and which information you’ve already ingested? Solving this problem is the goal of change data capture (CDC) techniques.

In the age of digital transformation, EDI (Electronic Data Exchange) technology is used to create new business information flows that never existed on paper. As the technology grows, companies need to incorporate more than traditional EDI standards. There are country-specific laws (HIPAA, GDPR, etc.), data collection and protection guidelines, privacy laws, business intelligence guides, and more.

Extracting your data from multiple sources and collecting it in a centralized data warehouse is hard enough—but how do you keep it safe once it arrives? Organizations use a variety of data security methods to protect sensitive and confidential information, including share-level security (all users sharing a password) and user-level security (with separate accounts and passwords for each user).

Enterprise resource planning, or ERP, the software helps companies manage their day-to-day activities in most departments. It offers organization and compliance features that streamline the process and make it user-friendly. ERP software shoppers probably know they need top-quality ERP software, but how do they know how to choose the right one for their needs?

If personally identifiable information (PII) falls into the wrong hands, it could have devastating consequences for both you and the affected individuals. But what if you could transform that information so that it would be useless to any attacker? That’s exactly what PII masking seeks to do. So what is PII data masking exactly, and how does PII masking help safeguard your sensitive and confidential information from PII data breaches? Keep reading for all the answers.

ERP (enterprise resource planning) software helps organizations streamline and optimize their processes and workflows by maximizing efficiencies and enabling better reporting, intelligence, and analytics. From human resources and logistics to finance and sales, nearly every department can benefit from the judicious use of the right ERP software.

For data analysts, business intelligence professionals, and CTOs to optimize and scale business operations, they must first understand the business data that is available to them. One of the best platforms to turn complicated data points from multiple platforms into a singular, coherent data set is Microsoft Power BI. However, you must first prepare the data sets to eliminate fragmentations and create structural consistency. This article explores how to prepare data for Microsoft Power BI.

Heroku's Postgres open-source database is the most effective service for developers who want to build engaging apps. With all of its features and Heroku's experience managing databases, it guarantees security and compliance with GDPR.

Data processors handle an abundance of data — including personal information about individuals. As the collection and use of data become more widespread, governments continue to enact laws that protect personally identifiable information (PII). Failing to comply with such laws means risking serious fines and penalties, and damaging public trust. Masking PII through pseudonymization is one way to protect it.