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Why TimeXtender?

Every day we work to make the complex simple, to automate all that can be and to execute on what matters most.

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      2 min read

      Migration to the Cloud with a Click of a Button

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      Imagine that your boss asks you to move your on-prem analytics architecture to the cloud. Let’s say they give you a deadline to finish this by the following week. What would your reaction be?

      Would you panic, finding yourself immediately overwhelmed with the shear size of such a project? Or, would you simply click a button, sip on your coffee and let your boss know the task has already been completed?

      One-Click Migration

      If you use Discovery Hub® from TimeXtender, the second scenario would be your reality, allowing you to quickly move from on-prem to cloud with ease and efficiency. TimeXtender supports you when migrating your existing on-premises modern data infrastructure - created through TimeXtender software - to the cloud with the click of a button.

      Timextender is a high-performance software platform used to build a flexible, information-focused data estate on the Microsoft Data Platform. The distinct software provides a robust capability to deploy the architecture, along with the aptitude to easily manage data in diverse ways – connect to various data sources, move and model data freely, catalog data efficiently and report on the full life cycle of data – all in one, single front-end environment.

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      TimeXtender is designed with an Azure cloud-first approach supporting: Azure SQL DB, Azure SQL MI, Azure SQL DW, Azure Data Lake and additionally, MS SQL on-prem. There is no need to re-engineer when moving from legacy to new technologies. An analytics architecture and solution built in Discovery Hub® can handle any variation in the underlying technology. This means that moving an entire analytical environment built in Discovery Hub®, utilizing legacy versions of SQL, to the cloud can be accomplished in as little as a day. The chores behind writing documentation, comprehending data lineage and maintaining security are a thing of the past. With Discovery Hub®, it is all automated.

      Use Any Analytical Tool with Any Setup

      Migrating to the cloud is often a time-consuming task that requires you to work both tactically and technically, as clearly described by Dave Wells from the Eckerson Group in this article. Data warehouse migration is a process that encompasses many steps to migrate all of the individual components. This requires manual migration of schema’s, data, ETL processes, metadata, users and applications, just to name a few.

      With Discovery Hub® that is not necessary. Whether you want to run on-premises, in the cloud or in a hybrid setup  you can easily switch between the different options and save time and resources. By automating all the repetitive manual work that is usually involved, we free up your employees’ time and resources, empowering you to better focus your attentions on more critical business matters. 

      And with our ODX (Operational Data Exchange), users are able to populate an Azure Data Lake with virtually any number and any type of data sources available on the market and to fully automate a continuous flow of data in and out of the Azure Data Lake. This capability results in a “one-stop shop” for all enterprise data and addresses the ongoing challenges organizations face on how to manage present and future data.

      Regardless of your primary need – to build advanced AI and Predictive analytics models, support self-service data discovery or secure enterprise-wide reporting with one version of the truth – TimeXtender will ensure that data will be instantly available in the correct format for the business’ demands.

      Many customers experience as much as 70% reduction in setup time and a 60-80% reduction in maintenance times, regardless if they choose an on-prem, cloud or hybrid solution.

      Ready to Take the Journey to the Cloud?

      If we have peaked your interest and you would like to learn more about TimeXtender’s one-click cloud migration and other features, click the link below!


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