Tabla de Contenidos: “…Front Cover; Principles of Big Data: Preparing,Sharing,and Analyzing Complex Information; Copyright; Dedication; Contents; Acknowledgments; Author Biography; Preface; Introduction; Definition of Big Data; Big Data Versus Small Data; Whence Comest Big Data?…”

Tabla de Contenidos: “…1 The Big Data Phenomenon -- 2 Veracity of Web Information -- 3 Approaches to Big Data Veracity -- 4 Change Detection Techniques -- 5 Machine Learning Algorithms -- 6 Formal Methods and Knowledge Representation -- 7 Medley of More Methods -- 8 The Future: Blockchain and Beyond…”

Materias:

Materias: “…Big data Management…”

Materias:

Tabla de Contenidos: “…Contents; About the Author; Preface; Introduction; Chapter 1: Big Data; Big Data Crosses Over Into the Mainstream; How Google Puts Big Data Initiatives to Work; How Big Data Powers Amazon's Quest to Become the World's Largest Retailer; Big Data Finally Delivers the Information Advantage; What Big Data Is Disrupting; Big Data Applications Changing Your Work Day; Big Data Enables the Move to Real Time; Chapter 2: The Big Data Landscape; Big Data Market Growth; The Role of Open Source; Enter the Cloud; Overcoming the Challenges of the Cloud; Big Data Infrastructure; Big Data Applications…”

Tabla de Contenidos: “…; ""Map-reduce""; ""Storage""; ""Query""; ""End Points""; ""References""; ""Chapter 3: Big Data Implications for Industry""; ""The Opportunity""; ""Big Data Use Cases by Industry Vertical""; ""Big Data Analytics for Telecom""; ""Big Data Analytics for Banking""; ""Big Data Analytics for Insurance""; ""Analytics Domains in Insurance""; ""Big Data Analytics for Retail""; ""Big Data Analytics for Health Care""; ""Big Data Analytics for IT/Operations""; ""End Points""…”

“…Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena. The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete…”

“…., people and process) is integral and critical to the success of any new technology deployment or implementation. Big data is not just a technology phenomenon. It has a cultural dimension. …”

Materias:

Materias: “…Big data…”

Tabla de Contenidos: “…Algorithms for Large and Complex Networks Algorithms for Large-scale Network Analysis and the NetworKit Toolkit -- Generating Synthetic Graph Data from Random Network Models -- Sampling Efficiency for the Link Assessment Problem -- A Custom Hardware Architecture for the Link Assessment Problem -- Graph-based Methods for Rational Drug Design -- Recent Advances in Practical Data Reduction -- Skeleton-based Clustering by Quasi-Threshold Editing -- The Space Complexity of Undirected Graph Exploration -- Algorithms for Big Data and their Applications Scalable Cryptography -- Distributed Data Streams -- Energy-Efficient Scheduling -- The GENO Software Stack -- Laue Algorithms for Big Data Problems in de Novo Genome Assembly -- Scalable Text Index Construction. …”

Tabla de Contenidos: “…Introduction -- Chapter 1: Data and Language -- Chapter 2: Data and Sensemaking -- Chapter 3: Data and Invisibility -- Chapter 4: Big Data and the Abyss of Aggregation -- Chapter 5: Data and Power -- Conclusion…”

Materias: “…Big data…”

Tabla de Contenidos: “…Cover -- Title page -- Copyright and credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Docker and Kubernetes -- Chapter 1: Getting Started with Containers -- Technical requirements -- Container architecture -- Installing Docker -- Windows -- macOS -- Linux -- Getting started with Docker images -- hello-world -- NGINX -- Julia -- Building your own image -- Batch processing job -- API service -- Summary -- Chapter 2: Kubernetes Architecture -- Technical requirements -- Kubernetes architecture -- Control plane -- Node components -- Pods -- Deployments -- StatefulSets -- Jobs -- Services -- ClusterIP Service -- NodePort Service -- LoadBalancer Service -- Ingress and Ingress Controller -- Gateway -- Persistent Volumes -- StorageClasses -- ConfigMaps and Secrets -- ConfigMaps -- Secrets -- Summary -- Chapter 3: Getting Hands-On with Kubernetes -- Technical requirements -- Installing kubectl -- Deploying a local cluster using Kind -- Installing kind -- Deploying the cluster -- Deploying an AWS EKS cluster -- Deploying a Google Cloud GKE cluster -- Deploying an Azure AKS cluster -- Running your API on Kubernetes -- Creating the deployment -- Creating a service -- Using an ingress to access the API -- Running a data processing job in Kubernetes -- Summary -- Part 2: Big Data Stack -- Chapter 4: The Modern Data Stack -- Data architectures -- The Lambda architecture -- The Kappa architecture -- Comparing Lambda and Kappa -- Data lake design for big data -- Data warehouses -- The rise of big data and data lakes -- The rise of the data lakehouse -- Implementing the lakehouse architecture -- Batch ingestion -- Storage -- Batch processing -- Orchestration -- Batch serving -- Data visualization -- Real-time ingestion -- Real-time processing -- Real-time serving -- Real-time data visualization -- Summary…”

Materias: “…Big data Technological innovations…”

“…Big Data Analytics…”