Talend is celebrating its 15th anniversary this year. It’s a milestone we couldn’t have achieved without our customers, partners, and the heart and soul of Talend, our employees.

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! As one of my dear customers, a data worker in Pharma, said to me: “I really don’t care about bells and whistles, I just want to get my task done.” This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

Why is DataOps important? Without intelligent data operations (DataOps), there can be no digital innovation. Agile data environments improve business operations and enable new customer experiences and new business models. Our customers demonstrate every day the value of their data and how it is critical for digital transformation.

Many organizations are working toward digital confidence by optimizing their testing practices. This may look like reconfiguring the delivery pipeline to integrate quality more meaningfully, moving test infrastructure to the cloud, and automating an increasing number of test cases. While all of these are helpful steps on the road to achieving digital confidence, some use cases might not benefit from more automated testing.

Still haven’t tapped into the hidden data reserve that Google Search Console filters offer? Try these 22 ways to filter data and level up your SEO game.

In this post, we’re sharing some of the best insights from specialists across a variety of industries to answer: What is downtime & why is downtime so detrimental for businesses? As well as answering this key topic we’ll also cover how businesses can take steps to prevent downtime & understand the underlying causes behind this often costly concern. Downtime is a term used to refer to a period of time in which a system, website or service is unavailable to its users.

Understand the impact of data transfer and egress costs across Microsoft Azure, Amazon Web Services and Google Cloud Platform. One of the questions most frequently asked by cloud-savvy, price-aware customers goes something like this: OK, so we like that your tool makes it easy to integrate our cloud database and storage in our centralized data warehouse, but I know our budget will be scrutinized for total cost of ownership (TCO), including our data egress costs.

With 110 Google Analytics Multi-Channel Funnel metrics that are now available in Databox’s Query Builder, you’ll dig deeper and result in more conversions.

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