Extract, Load, Transform, or ELT, is a process that extracts data from the source, loads it directly into a data warehouse or data lake, and then transforms it to make it available for business intelligence tools. It supports all data types, from raw to structured. ELT is a popular way to ingest large volumes of raw data quickly, but it brings many security concerns with it.
In 1979, Teradata began life as a collaboration between Caltech and Citibank. Today, this enterprise software group is all about redefining business intelligence tools and data management. The Teradata Database is now the Teradata Vantage Advanced SQL Engine, The name not only highlights the evolution of the company but also recognizes that tech consumers now expect more from their tools.
MongoDB and MySQL are similar is some ways, but they also have some obvious differences. Perhaps the most obvious one is that MongoDB is a NoSQL database, while MySQL only responds to commands written in SQL. Potential users may want to examine MongoDB vs. MySQL in the areas of performance and speed. The following article will help you understand the differences, as well as the pros and cons of each database.
Transferring data is a hassle if you don't have the right tools, particularly when you're transferring from multiple sources or in various formats. Fortunately, you can use tools to make the entire ETL process simpler and less prone to error. Platforms like Teradata make it easy to get your data where it needs to go.
Flat files are files that contain a representation of a database (aptly named flat file databases), usually in plain text with no markup. CSV files, which separate data fields using comma delimiters, are one common and well-known type of flat file; other types include XML and JSON. Thanks to their simple architecture and lightweight footprint, flat files are a popular choice for representing and storing information.
Trying to find the perfect database for your data? With so many choices available, it may be difficult to figure out which one to use. However, Vertica has plenty to offer, particularly if you’re dealing with big data and have massive datasets ready to go.
The Talend Product Suite tries to be a one-stop-shop for everything data. Whether you need an ESB, iPaaS, API Gateway, or ETL platform, Talend has a tool for it. Xplenty, on the other hand, is a targeted solution that focuses on ETL only. It's an enterprise-grade ETL solution that empowers non-tech-savvy users to build sophisticated data integrations. Both Talend and Xplenty are powerful ETL solutions with excellent reputations and high functionality.
Did you know that you can use Heroku and Xplenty with Salesforce? While the Salesforce platform is plenty powerful on its own, you can supercharge it if you know what you’re doing.
Heroku is a cloud platform as a service (PaaS) for efficiently building, deploying, monitoring, and scaling applications. Originally created to work with the Ruby programming language, Heroku is now part of the Salesforce platform and supports languages such as Java, Node.js, PHP, Python, and Scala. While Heroku makes it easy to develop production-ready applications fast, one question remains: how can you integrate your Heroku app data with the rest of your data infrastructure and workflows?
Data science and big data are essential in today’s world of marketing. You’ve probably already seen multiple instances of both being used for advertising and sales purposes, but you may not realize just how useful they are. If you own a business, you need to know how to use data for your own marketing programs.
