Our commitment to safeguarding the integrity, confidentiality, availability, and security of customer data. We’re excited to announce that Etlworks is officially SOC 2 compliant! This is part of our larger efforts to assure all the users of Etlworks and visitors to our site that we’re meeting and exceeding all of your privacy and security needs. Learn more by visiting our security page! When choosing a service, it’s important to have trust in the provider – especially for something as important as your data. Frameworks like SOC 2 provide universally recognized proof of our trustworthines ..read more

Modern businesses leverage many IT systems to provide the capabilities to enable operational processes and users to be effective.  In order for complex IT environments to run smoothly, businesses are placing increased focus on how systems are integrated and the activities required to manage integrations across the ecosystem. While system integration is a multi-layered challenge, the essential part to get right is your enterprise data integration strategy. Precise planning and excellent execution will take time, but it is worth it. Here’s why: 1. Quick  and simple connections Before ..read more

Today, in the internet-focused world we live in, data is widely considered to be among the world’s most valuable resources because of how much potential revenue and the business value it can provide. Data has become a valuable commodity, similar to commodities like oil and gold. As you can see, the data is priceless, and companies are worried about putting their data at risk when attempting to connect systems that collect data.  Data integration is the process of combining data from several different sources into one unified view, to make the data more actionable and valuable to an enter ..read more

Data integration involves bringing together information from disparate sources in order to generate meaningful insight. Reconciling data generated from the software, equipment, and personnel across all of the functional areas of your business can provide you with the valuable information you need to make the right decisions. However, combining these different sources of data can be a complex, and honestly, headache-inducing challenge. It can be quite difficult to know the exact scope of a data integration project, particularly when data is siloed across many different functional areas of your ..read more

Reverse ETL is a new key component of the modern data stack that enables “operational analytics.” ETL/ELT Before defining “reverse ETL”, let’s briefly talk about plain old ETL. Extract, transform, and load (ETL) is a data integration methodology that extracts raw data from sources, transforms the data on a secondary processing server, and then loads the data into a target database. ETL is nothing new. The concept was actually popularized in the 1970s. More recently, with the rise of cloud data warehouses, extract, load, transform (ELT) is beginning to replace ETL. Unlike the ET ..read more

In-house data solutions – otherwise known as the small thing that someone built ages ago and now it’s somehow grown into a critical part of your data infrastructure and you’d rather not touch it because who knows how it all works? Also, some companies are afraid of risks of migration, so they are pursuing the “if it ain’t broke, don’t fix it” strategy which is not always the most efficient or cost-effective.  It’s a very common scenario. But those in-house solutions can quickly become harder and harder to manage and extend to support increasingly complicated requirements. At some point y ..read more

To gain business insights for competitive advantage every business these days is seeking ways to integrate data from multiple sources. Data and data analytics are critical to business operations, so it’s important to engineer and deploy strong and maintainable data pipelines. A data pipeline is a set of actions that ingest raw data from disparate sources and move the data to a destination for storage and analysis. Most of the time, though, a data pipeline is also to perform some sort of processing or transformation on the data to enhance it. Data pipelines often deliver mission-crit ..read more

Change data capture (CDC) is a necessity. With CDC changes are synced instantly or near-instantly. In practice, CDC is often used to replicate data between databases in real-time. Essentially, CDC it is a perfect solution for non-intrusive, low-impact real-time data integration. I will illustrate how the Etlworks change data capture solution works for eLearning company that needs to load data from 1600+ MySQL databases into Snowflake data warehouse. Thanks to Etlworks, company now can make everyday operations data available to non-technical business users. Data warehouse in Snowflake is updat ..read more

An API integration is the connection between two or more applications, via their APIs, that lets those systems exchange data. API integrations power processes throughout many high-performing businesses that keep data in sync, enhance productivity, and drive revenue. What is an API? An API is a set of definitions and protocols for building and integration application software. API stands for application programming interface. An API is like a building block of programming that helps programmers avoid writing code from scratch each time it is needed. APIs are organized sets of commands, functio ..read more

In 2020, it is definitive to argue that one of a company’s most significant assets is its Data. Data integration involves collecting data from different sources, combining this data into a unified set that can easily be used for a predetermined business function, and enabling you to query and manipulate all of your data from a single interface and derive analytics and statistics. While the sources and types of data continue to grow, it becomes increasingly important to be able to perform quality analysis on that data. Benefits of Data integration Data integration is becoming more and more com ..read more