SATURN 2018

Azure Table storage, a NoSQL data service in the cloud. Schemaless and with JSON compatibility, it’s simple and it does its job well. But everything great has its pitfalls.

Join in this lightning talk to look at and investigate the wonders and the mysteries, the shocks and the no-nos of using Azure Table storage. We will look at sample code, setting up and using the storage in action. Most notably, the program also looks at performance metrics, comparing Azure Table storage to other data services. Is this the thing for you? Find out!

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Architecture contains the potential to guide the development of big enterprise in the right direction, connecting the existing IT portfolio to the business functions and using this as a map to guide future development. This talk will show you how we have set up a company-wide network of architects both on the business side and on the IT side that work together. They span the different business functions in order to handle both the internal architecture for each business function and, more importantly, the interface between the business functions. A key part of this is taking advantage of new ways of working, such as design thinking and DevOps—as well as new technology, such as microservices, machine learning, Hadoop data lakes, and web-based and mobile clients.

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As Don Tapscott once said, “The first generation of the digital revolution brought us the Internet of information. The second generation—powered by blockchain technology—is bringing us the Internet of value: a new, distributed platform that can help us reshape the world of business and transform the old order of human affairs for the better.”

Traditional consensus algorithms like proof-of-work are inefficient at scale, and smart contracts are limited to a single ecosystem. However, by creating a “blockchain of blockchains” architecture, more complex event-driven architectures can be created using separate ecosystems that are independently validated. For example, a smart city could be programmed to execute an emergency shutdown if certain criteria are met. A designer of this system would want to make absolutely sure that the conditions were true before executing a threat response of this magnitude. By having each IoT sensor group that measures a specific environmental condition on its own “sidechain” network, and sharing their ‘state’ to a main authoritative blockchain network, one can create data integrity checks that prevent these programs from triggering by accident in a fault tolerant and distributed manner.

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