“…You will learn how to apply big data analytics and how they benefit from data-in-motion. …”

“…Broad and deep as the Thames itself, you'll hear presentations on stream processing and analytics, deep learning, big data and the Cloud, data-driven business management, and cybersecurity. …”

Tabla de Contenidos: “…Introduction -- Big data – Embedded programming techniques – Changing technologies – M2M – Definitions of IoT – IoT architecture – IoT for smart city applications – IoT middleware – The core value of IoT devises and design propositions – IoT design approach – IoT design components – IoT design implementation – Design of layered architecture – IoT security…”

“…You'll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. …”

Tabla de Contenidos: “…Srinivasa and Srinidhi Hiriyannaiah -- NoSQL hands on / Rebika Rai and Prashant Chettri -- The Hadoop ecosystem technologies and tools / Pethuru Raj -- Biological big data analytics / Mohammad Samadi Gharajeh -- NoSQL Polyglot Persistence / Ganesh Chandra Deka…”

Tabla de Contenidos: “…Chapter 1: Introduction: Fundamentals of Data Management -- Chapter 2: Build Relational & Non-Relational Data Solutions on Azure -- Chapter 3: Building a Big Data Architecture -- Chapter 4: Data Management Patterns & Technology Choices with Azure -- Chapter 5: Data Architecture Process -- Chapter 6: Data Architecture Framework Explained…”

Tabla de Contenidos: “…Introducing mobile enterprise -- Defining business value -- Mobile business challenges -- The mobile framework -- Mobile development -- Mobile security and management -- Mobile business transformation -- Planning a mobile project -- SoCloDaMo (mobile + cloud + social + big data) -- International considerations -- Case studies and mobile solutions -- Moving forward…”

Tabla de Contenidos: “…1 The Two Essential Algorithms for Making Predictions -- 2 Understand the Problem by Understanding the Data -- 3 Predictive Model Building: Balancing Performance, Complexity, and Big Data -- 4 Penalized Linear Regression -- 5 Building Predictive Models Using Penalized Linear Methods -- 6 Ensemble Methods -- 7 Building Ensemble Models with Python -- Index…”

Tabla de Contenidos: “…Table of Contents Getting Started Managing Mapping Basic Operations Exploring Search Capabilities Text and Numeric Queries Relationships and Geo Queries Aggregations Scripting in Elasticsearch Managing Clusters Backups and Restoring Data User Interfaces Using the Ingest Module Java Integration Scala Integration Python Integration Plugin Development Big Data Integration X-Pack…”

Tabla de Contenidos: “…Evolution of the Traditional Power System / Transmission Grid Smart Technologies / Advances in Power Converters / Smart Grid Energy Storage / Electromagnetic Interference Considerations for Electrical Power Systems / HVDC Transmission for Renewable Energy Integraion / Electric and Plug-In Hybrid Electric Vehicles and Smart Grids / Cybersecurity for the Smart Grid / Big Data and Monitoring the Grid / Prognostics for the Power Industry…”

Tabla de Contenidos: “…Session 1: Social Networks -- Session 2: Data Management -- Session 3: Data Mining &Machine Learning -- Session 4: Open Data &Blockchains -- Session 5: Citizens, Science, and e-governance -- Session 6: Digital Ecosystems -- Session 7: Intelligent Systems I -- Session 8: Big Data -- Session 9: Intelligent Systems II…”

Tabla de Contenidos: “…The database environment and development process -- Modeling data in the organization -- The enhanced E-R model -- Logical database design and the relational model -- Introduction to SQL -- Advanced SQL -- Databases in applications -- Physical database design and database infrastructure -- Data warehousing and data integration -- Big data technologies -- Analytics and its implications -- Data and database administration with focus on data quality…”

Tabla de Contenidos: “…Building an analytical capability: A roadmap to enhanced analytical capabilities -- Managing analytical people -- The architectures of analytics and big data -- The future of analytical competition…”

“…There's never just one way to do things, but for big bets like Big Data, it helps to learn about paths that others have taken. …”

Tabla de Contenidos: “…Section 1: Introduction to Analytics -- Chapter 1: Business Analytics Revolution -- Chapter 2: Foundations of Business Analytics -- Chapter 3: Structured Query Language (SQL) Analytics -- Chapter 4: Business Analytics Process -- Chapter 5: Exploratory Data Analysis (EDA) -- Chapter 6: Evaluating Analytics Model Performance -- Section II: Supervised Learning and Predictive Analytics -- Chapter 7: Simple Linear Regressions -- Chapter 8: Multiple Linear Regressions -- Chapter 9: Classification -- Chapter 10: Neural Networks -- Chapter 11: Logistic Regression -- Section III: Time Series Models -- Chapter 12: Time Series – Forecasting -- Section IV: Unsupervised Model and Text Mining -- Chapter 13: Cluster Analysis -- Chapter 14: Relationship Data Mining -- Chapter 15: Mining Text and Text Analytics -- Chapter 16: Big Data and Big Data Analytics -- Section V: Business Analytics Tools -- Chapter 17: R programming for Analytics -- Chapter 18: Python Programming for Analytics…”

Tabla de Contenidos: “…Chapter 1:Introduction to Big Data Analytics -- Chapter 2:Using Phoenix for HBase -- Chapter 3:Performing CRUD operations using phoenix -- Chapter 4:Advance Querying -- Chapter 5:Transactions -- Chapter 6:Advance Phoenix concepts -- Chapter 7:Performance Tuning -- Chapter 8:Integrating Phoenix with other frameworks -- Chapter 9:Tools & Tuning…”

Tabla de Contenidos: “…Chapter 1: Overview of Machine Learning -- Chapter 2: Business Intelligence, Big Data, and Cloud Computing -- Chapter 3: The Oracle R Technologies and R Enterprise -- Chapter 4: Why Machine Learning with OBIEE Now -- Chapter 5: Use Case: Machine Learning in OBIEE 12c -- Chapter 6: Implementing Machine Learning in OBIEE 12c…”

Tabla de Contenidos: “…Chapter 1: Enterprise Information Management : Definition, Scope, and History -- Chapter 2: Lifecycle of Enterprise Information Management -- Chapter 3: Components of Enterprise Information Management -- Chapter 4: Pillar #1: Information Sourcing -- Chapter 5: Pillar #2: Information Integration and Exchange -- Chapter 6: Pillar #3: Information Governance and Quality -- Chapter 7: Pillar #4: Master Information Management -- Chapter 8: Pillar #5: Information Warehousing -- Chapter 9: Pillar #6: Information Delivery and Consumption -- Chapter 10: Pillar #8: Metadata Management -- Chapter 11: Pillar #9: Big Data Components -- Chapter 12: Building an Enterprise Information Management Solution -- Chapter 13: EIM in Today’s Business Environment -- Appendix A – Glossary -- Appendix B – EIM Tools in the Marketplace…”

“…"Leveraging Big Data and 21st century technology to renew cities and citizenship in AmericaThe Responsive City: Engaging Communities Through Data-Smart Governance. …”

“…These challenges are related to: the rapidly changing nature of the Internet, the need for more granular data in order to understand the complex nature of the Internet, and the phenomenon of big data and the resulting ability to measure almost anything…”