This book focuses on data science, a rapidly expanding field of study and application that has seen significant growth over the past few decades. As it continues to develop, data science is attracting increasing attention from both the media and the job market.
This book will attempt to bridge the gap between math/programming/domain expertise. Most people today have expertise in at least one of these (maybe two), but proper data science requires a little bit of all three. We will dive into topics from all three areas and solve complex problems. We will clean, explore, and analyze data
in order to derive scientific and accurate conclusions.Also aims to bridge the gap between mathematics, programming, and domain expertise. While most people today are proficient in at least one of these areas, and sometimes two, true data science requires a blend of all three. We’ll delve into topics from each domain, tackling complex problems as we go. Throughout the journey, we’ll clean, explore, and analyze data to draw scientifically sound and accurate conclusions.
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Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources… Read More
Over the past few years, Apache Kafka has emerged as the top event streaming platform… Read More
In the current fast-paced digital age, many data sources generate an unending flow of information,… Read More
At first, data tiering was a tactic used by storage systems to reduce data storage… Read More
With the use of telemetry, data can be remotely measured and transmitted from multiple sources… Read More
A distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient.… Read More
