دانلود کتاب رمزگشایی علم داده های گراف – الگوریتم های نمودار، روش های تجزیه و تحلیل، پلت فرم ها، پایگاه های داده و موارد استفاده

With the faster maturity and stability of digital technologies, we are being bombarded with zillions of digital entities, connected devices, and microservices. These interact purposefully to create huge sets of poly-structured digital data. The challenge is how to transition data into information and into knowledge. There are data analytics methods in plenty. The pace of data analytics is gaining the much-needed speed and sagacity with the continuous contributions of product and tool vendors. Data science is the domain increasingly associated with data analytics. There are big, fast and streaming data analytics platforms, frameworks, accelerators, toolkits, etc. for making data analytics simpler, faster and affordable. In the big data world, NoSQL and distributed SQL databases gained the market and mind shares fast. Graph databases are one of the prominent NoSQL databases. Data representation through graphs has laid down a stimulating foundation to visualize and realize a stream of fresh capabilities. On the other hand, the analytical competency is significantly improved through the faster maturity and stability of artificial intelligence (AI) algorithms [machine and deep learning (ML/DL)]. Thus, the classical and current data science paradigm is substantially advanced to have sophisticated abilities through the direct and distinct empowerment of AI algorithms. There is a twist now. Applying the AIinspired data science methods on graph-structured data is being seen as a clear-cut gamechanger for the digital world. Extracting hidden patterns, useful associations, impending risks, future opportunities, and other useful and usable insights out of data heaps through data science platforms, frameworks, and engines is the new normal. Especially data science on graph data is acquiring special significance as there is a solid understanding that the blending of graphs and data science techniques can bring in a lot of noteworthy innovations and transformations.