The low code, no code paradigm is an evolution in development environments. Historically, if you wanted to build a product, you went to a developer and they started from scratch building the product from the first line of code. But now people with little or no coding experience can build simple applications themselves.
Hadoop ecosystem now serves as a comfortable home to Big Data now, and the Hadoop data stores now have a greater acceptance across the world by programmers, developers, data scientists, and database management experts. These ecosystems are as convenient as the data storages; however, the inherent reporting system of Hadoop poses a few challenges for the users to overcome.
Time Series as Fast Analytics on Fast Data Since the open-source introduction of Apache Kudu in 2015, it has billed itself as storage for fast analytics on fast data. This general mission encompasses many different workloads, but one of the fastest-growing use cases is that of time-series analytics. Time series has several key requirements: At first glance, it sounds like these requirements would demand a special-purpose database system built specifically for time series.
The telecommunications industry is in the midst of a fundamental reinvention and transformation. Faced with a range of emerging pressures – including consolidation, a changing competitive landscape, and commoditization of traditional services – communication service providers (CSPs) are seeking new revenue streams and novel business approaches.
The theoretical bases for Machine Learning have existed for decades yet it wasn’t until the early 2000’s that the last AI winter came to an end. Since then, interest in and use of machine learning has exploded and its development has been largely democratized. Perhaps not so coincidentally, the same period saw the rise of Big Data, carrying with it increased distributed data storage and distributed computing capabilities made popular by the Hadoop ecosystem.
The Shoemaker (often) goes barefoot. It is often the case, that while one is working hard on helping their customers get better, they neglect their own processes, taking the same shortcuts they warn their clients against. It was like that at Keboola a few years back, until we agreed that this is no longer acceptable, and created a job role (mine) to apply our teachings internally as well.
The introduction of AI into products and services – across all sectors – is creating new capabilities at a scale that software developers could never have dreamed of just a decade ago. But this development is not just about the tech.
