Which BI architecture is better for your organization, ETL or ELT? This article explains the considerations and also how they relate to Data Warehouses and Data Lakes.
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All things data
Matt Mueller, President of a BI and analytics recruitment firm, shares his tips and best practices on how to hire a ‘Head of BI’.
Today, we have great news to share - Xplenty was included in StartUp50.com’s Annual StartUp Big 50 List. To earn our well-deserved spot in the Big 50 we had to battle our way through three rounds of tough competition with over 200 applicants vying for 50 spots..
Data warehouses (DWHs) are widely recognized as essential components of business intelligence and analytics operations. But the question of whether the optimal deployment route is in the cloud or on-premise remains hotly debated.
Like so many things, the truth is that there is no one-size-fits-all solution. Every business is different, and there are advantages and disadvantages in both approaches. On the one hand the cloud offers scalability and low entry cost advantages. On the other, there’s the security and flexibility that only an on-prem solution can offer.
Why you need a Data Integration Layer (ETL), reasons to use a SaaS based tool for ETL rather than coding it through scripts.
In an interview with Datanami, Xplenty CEO Yaniv Mor explains the pitfalls of data hoarding and how to overcome it.
This post takes a look at how you can use Xplenty, a data integration tool, to create personalized data-driven marketing campaigns to increase your ROI.
Xplenty, swoops in as a superhero in the world of ETL, to save you time (which means money) getting all that data into your company’s analytic data store. Grab data from Asana, as well as your other data sources, and transform and manipulate the data before it gets into your data warehouse.
Xplenty integration with HipChat is super fast and incredibly easy using Xplenty’s HipChat hooks. Xplenty’s HipChat hooks allow you to get real-time updates about your account activity into your HipChat rooms.