“…Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. …”

“…It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. …”

“…This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge. …”

“…Murphy also reviews several cutting-edge tools for storing and processing big data that he’s used in his work with electric utilities—tools that can help traditional engineers pursue a data-driven approach in many industries. …”

“…It provides multiple perspectives on relevant issues like monitoring forecast performance, forecasting process, communication and accountability for the forecast, the use of big data in forecasting, and the role of AI/ML in enhancing traditional time series forecasting methods. …”

“…Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operationsKey FeaturesBuild and scale modern data solutions using the all-in-one Snowflake platformPerform advanced cloud analytics for implementing big data and data science solutionsMake quicker and better-informed business decisions by uncovering key insights from your dataBook DescriptionSnowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. …”

“…Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. …”

“…Apache Spark is an in-memory framework that allows data scientists to explore and interact with big data much more quickly than with Hadoop. Python users can work with Spark using an interactive shell called PySpark. …”

“…Learn to use data science and statistics to solve business problems and gain insights into everyday problems with 35+ case studies About This Video Explore 16 statistical and data analysis, and six predictive modeling and classifiers case studies Work on four: data science in marketing and retail, and two time-series forecasting case studies Dive into three Natural Language Processing and one PySpark big data case studies, and a deployment project In Detail Right now, despite the Covid-19 economic contraction, traditional businesses are hiring data scientists in droves! …”

“…Authors Aurelia Moser, Jon Bruner, and Bill Day provide a complete picture of the geospatial analysis options available, including low-scale commercial desktop GIS tools, medium-scale options such as PostGIS and Lucene-based searching, and true big data solutions built on technologies such as Hadoop. …”

“…The latest in modern Python recipes for the busy modern programmer About This Book Develop succinct, expressive programs in Python Learn the best practices and common idioms through carefully explained and structured recipes Discover new ways to apply Python for the new age of development Who This Book Is For The book is for web developers, programmers, enterprise programmers, engineers, big data scientist, and so on. If you are a beginner, Python Cookbook will get you started. …”

“…Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration,..…”

“…This report lists startups and AI use cases in our three target sectors, and helps you explore how: Big data technology fulfilled the promise of previous research into AI Telecommunications companies are using AI to improve and expand high-quality voice and data services Retailers are leveraging their own data to increase conversion rates and revenue among tech-savvy consumers Financial service companies are using AI to price assets, analyze risk, offer new services, and provide new customer experiences…”

“…With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we’ve entered a new era of smart data. …”

“…Administer MongoDB-based applications on-premise or in the cloud Scale MongoDB to achieve your design goals Integrate MongoDB with big data sources to process huge amounts of data In Detail MongoDB has grown to become the de facto NoSQL database with millions of users - from small startups to Fortune 500 companies. …”

“…This report examines how the hiring process today is leaning toward new technologies, from big data to artificial intelligence to scientifically based skill assessments—all in an effort to make the process more human. …”

“…From creating apps to building complex websites to sorting big data, Python provides a way to get the work done. …”

“…At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products. …”

“…Make sense of your data and predict the unpredictable About This Book A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and real-world scenarios taken from the world of healthcare, marketing, and other business domains Who This Book Is For This book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues. …”

“…This Second Edition features up-to-date case studies showing how those companies and more meet supply chain goals and helps you overcome your own challenges with the latest supply chain innovations, including big-data analytics, supply chain command and control centers, large-scale supply chain optimization, integrated supply chain planning, real-time global supply chain visibility, omni-channel logistics, re-shoring, global-sourcing optimization, cloud-based supply chain management, supply chain finance, global trade management, and fourth-party logistics…”