Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced-Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience in every technical aspect of an analytics project.

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project.

The Cortana Analytics Suite (CAS) is made up of different components in Azure, allowing users to custom build an analytical application to suit a wide range of analytics scenarios such as real-time recommendations, customer churn forecasting, fraud detection, and predictive maintenance just to name a few. In this post, we'll look at four problems with traditional data warehouses and show how the new Azure SQL Data Warehouse (part of the CAS) overcomes them and makes analytics available to organizations of all sizes. When developing a new data warehouse, one of the first steps is sizing and commissioning hardware requirements. However, sizing a data warehouse for both storage and processing can be difficult as you only know your present source data needs and therefore have to predict the rest. Also, purchasing and configuring hardware can be cost prohibitive.

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Unisys Corporation has announced new advanced data analytics milestones including the launch of its new Machine Learning-as-a-Service offering and the proposed launch of its new Artificial Intelligence Center of Excellence. The announcements were made at the Strata Hadoop World conference which is being held in San Jose, California. "Analytics are rapidly emerging as a critical tool for digital business transformation, because they enable organizations to discover the value they can gain from marshalling often-disparate business assets in novel ways," says Dr. Rod Fontecilla, vice president and global lead, Analytics, Unisys. This new service offering will be a part of the Unisys Analytics Platform. It consists of a library of machine algorithms which can be used along with proven processes and methodologies to analyze data and facilitate predictive analytics.