Scaling Python with Dask

For a successful adoption of an API program, API users need real-time visibility on what’s happening now within the API activity. We wanted to share with you the last updates of the Axway’s Embedded analytics for API Management Solution and show you how much users need it. The solution helps API Product Manager, API Platform Owner, and Community Manager work smarter by providing real-time insights to align Business and IT and proactively resolve Business and IT issues.

Making quality data available in a reliable manner is a major determinant of success for data analytics initiatives be they regular dashboards or reports, or advanced analytics projects drawing on state of the art machine learning techniques. Data engineers tasked with this responsibility need to take account of a broad set of dependencies and requirements as they design and build their data pipelines.Join Suraj Acharya, Director, Engineering at Databricks, and Singh Garewal, Director of Product Marketing, as they discuss the modern IT/ data architecture that a data engineer must operate within, data engineering best practices they can adopt and desirable characteristics of tools to deploy.

In today’s distributed application ecosystems, with various inter-dependencies and dynamic infrastructures, it is extremely challenging to detect and resolve application failures and performance slowdowns. This is especially true in a Microsoft .NET application stack. Developers, IT Operations Staffs and Site Reliability Engineers often get involved in long war room sessions to isolate the root cause of poor customer experience in the digital business service.

Artificial intelligence is one of the biggest buzzwords of the day. Many are asking if AI will change the world. Truthfully, it already has. Our ability to consume and act on data is because of advancements in computing, complex algorithms and intelligent analytical output.