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Extract, load, transform (ELT) technology is a type of data pipeline that ingests data from one or more sources, loads the data into its destination (typically a data lake), and then allows end-users to perform ad-hoc transformations on it as needed. ELT can perform mass extraction of all data types, including raw data, without the need to set up transformation rules and filters before data loading.

Collecting and analyzing data on your customers’ preferences and behavior is one of the best ways to improve your products and customer service. As your business grows, you need enterprise-class customer relationship management (CRM) software that can store and manage all of your customer data. Salesforce is a software as a service (SaaS) company that provides the Salesforce CRM software to more than 100,000 organizations worldwide.

Unfortunately, most of us have had our sensitive data or personal information compromised at one point or another. Whether the leaked data involves credit cards, a bank account number, a social security number, or an email address, nearly everyone has been a victim of a third-party data breach. In 2020, over 155 million people in the U.S. — nearly half the country's population — experienced unauthorized data exposure.

Data migration seems simple from a high-level point of view. After all, you’re simply moving data between two or more locations. In practice, however, migrating data can be one of your IT department’s trickiest data management initiatives. According to LogicWorks, 90 percent of CIOs in charge of data migrations moving from on-premises to the cloud have encountered problems during this process, with 75 percent missing planned deadlines.

When people share their personal information with an organization, they’re performing an act of trust. They trust you to keep their data safe from hackers, and they trust you to use their data only for legitimate purposes. While many organizations honor this trust, others do not. As a result, governments worldwide are rushing to pass data protection legislation that puts the power back in the hands of people.

G2 is one of the leading review and comparison sites for business software, so as an ETL provider, we’re especially proud to be recognized as market leaders by G2 and its users in Spring 2021. Xplenty received three of the coveted badges in the Spring review of top software and service providers including.

As the amount of data companies are faced with snowballs, the need for efficient data governance grows. An increasing number of organizations are turning to cloud service providers for data management. In this context, data as a service, often referred to as DaaS, is becoming an essential tool for managing data integration, data storage, and data analytics.

Transferring files between two or more machines is an essential part of the ETL (extract, transform, load) process. Of course, there are multiple ways to move data, including flat file databases. For example, you can physically copy the data onto a USB drive or send it to the recipient via email. But methods like these are far less efficient than sending data via FTP. So what is FTP exactly, and how do you use it to transfer files and data? Keep reading for all the answers.

The General Data Protection Regulation (GDPR) is a landmark piece of legislation that affects how organizations can handle, process, and store the personal data of European Union (EU) citizens and residents. But what does the GDPR require exactly, and how can you be sure that your organization complies with it? We go over everything you need to know in this all-in-one guide to GDPR compliance.

ELT is a three-step process that first extracts raw, structured, and unstructured data from source databases, applications, data stores, and other repositories. It then loads that data into a data lake and transforms it as needed by analysts. Since it doesn't move the data to an intermediate staging area or transform it before loading, the extraction process is speedy. You don’t need to pick and choose what data loads into the data lake or wait for it to be processed.