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speedscale

Video: Cloud Native Traffic Replay

Aug 17, 2022 By Ken Ahrens In Speedscale
With the introduction of new application platforms like Kubernetes, oftentimes the DevOps tooling around it needs to evolve. Cloud Native technology is powerful but complex. This 5 minute demo video shows how Speedscale provides production simulation capabilities so you can check for resiliency, quality and scalability in your Kubernetes clusters. You can record data and traffic in production and replay sanitized traffic on the fly against a new cluster.
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InsightSoftware

Top 5 Best Practices for Moving to Oracle Cloud ERP

Aug 17, 2022 By InsightSoftware In InsightSoftware

Oracle Cloud ERP enables businesses to harness the power of the cloud with built-in security, easy access to data, and native reporting tools. Offering scalability, security, and greater visibility into your organization’s information, this ERP comes with a variety of benefits. But when you’re looking to transition into a cloud-based ERP, where do you start? Here, we discuss the top five best practices of moving to Oracle Cloud ERP.

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How The London Stock Exchange Group Built Their Corporate Data Cloud With Snowflake

Aug 17, 2022 By Snowflake In Snowflake
The London Stock Exchange Group (LSEG) is a UK-based stock exchange and financial information company, supporting high-profile customers with a wide range of services across trading, analytics, and technology. In a recent fireside chat with LSEG at Data for Breakfast London, we spoke to Andrew Carruthers, the company’s Director of Corporate Data Exchange. During the conversation, we discussed how his team built a credible proof of concept that formed the basis of the organization’s new corporate data cloud, powered by the Snowflake Data Cloud.
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DoorDash's VP of Analytics & Data Science, Jessica Lachs on Leveraging Data to Delight Customers

Aug 17, 2022 By ThoughtSpot In ThoughtSpot
Who’s hungry? Thanks to delivery apps like DoorDash, it’s never been easier for modern consumers to satisfy almost any craving in just a few taps. At the helm of DoorDash’s data organization is VP of Analytics & Data Science, Jessica Lachs. With metrics guiding every decision at the company, a key part of her decision-making comes down to properly quantifying the value of each possible tradeoff. Learn more about her decision-making framework, plus how her career in finance evolved into entrepreneurship and ultimately led her to create the data and analytics organization at DoorDash.
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scout

Principles of Debugging

Aug 17, 2022 By Mukul Khanna In Scout

It is pretty common to envision software developers spending most of their time writing fancy code, building new, shiny features for applications, and smoothly deploying them to production. However, the reality is usually messier. Things break all the time — your code fails, the system runs out of memory, exceptions go unhandled, dependencies conflict, servers overload, slow requests take forever, and whatnot.

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How To Use Saved Cohorts in Moesif

Aug 17, 2022 By Moesif In Moesif
Saved Cohorts are the driving force behind many features in Moesif such as Dynamic Sampling, Behavioral Emails, and Governance. Saved Cohorts are dynamic lists of users (or companies) that match a defined criteria. Cohort notifications can enable your teams to be notified the minute users start experiencing problems. In this tutorial we’ll take a look at how to set up a simple Saved Cohort, enable notifications, and take a peek at the incredible features that take advantage of Saved Cohorts like Dynamic Sampling, Behavioral Emails, and Governance.
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integrate

Building Secure and Scalable Healthcare Data Pipelines

Aug 17, 2022 By Terence Bennett In Integrate
The healthcare industry is beginning to digitally transform with its adoption of continuously advancing technologies. Healthcare organizations are moving toward a more connected and collaborative healthcare ecosystem for improving the way they provide care. Any data-driven organization knows the importance of high-quality data pipelines in data science. The large amounts of heterogeneous healthcare data, call for healthcare organizations to adopt data-driven approaches to automate medical workflows.
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