“…Skill Level Intermediate to advanced developer Learn How To Orchestrate VMs and containers Get Cloud Foundry Use multi-tenancy Install Cloud Foundry on Google Cloud Platform, Microsoft Azure, or Amazon Web Services (AWS) Using Cloud Foundry Contro..…”

“…Along the way, you'll explore tools such as Docker, Postman, and Amazon Web Services. By the end of the book, you'll be able to build a ready-to-deploy application that can be used as a base for future applications. …”

“…What you will learn Explore the fundamentals of API development and web services Understand the various building blocks of API development in Go Use superior open source solutions for representational state transfer (REST) API development Scale a service using microservices and asynchronous design patterns Deliver containerized artifacts to the Amazon Web Services (AWS) Cloud Get to grips with API security and its implementation Who this book is for This book is for all the Go developers who are comfortable with the language and seeking to learn REST API development. …”

“…For readers who are new to Amazon Web Services, the book has a dedicated chapter on AWS with screenshots. …”

“…Then, you'll see how to use Schedulers such as Kubernetes and Amazon ECS. Finally, we'll delve into security, troubleshooting, and best practices when extending Docker. …”

“…What You Will Learn Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer Installing and maintaining Hadoop 2.X cluster and its ecosystem Advanced Data Analysis using the Hive, Pig, and Map Reduce programs Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0 Dive into YARN and Storm and use YARN to integrate Storm with Hadoop Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation In Detail As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. …”

“…As you advance you'll learn about Amazon Web Services (AWS) and create a deep..…”

“…You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon Web Services (AWS). You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. …”

“…Next, you'll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You'll also explore different clustering techniques to segment customers using wholesale data. …”

“…Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. …”

“…General education on SEO and organic content marking Understanding which search engines to focus on How SEO and content can solve business problems Building a new brand through SEO and content Identifying who your true competitors are Which Analytics reports you should be regularly monitoring How to establish research channels that can inform your business initiatives Building personas and audience purchase journeys Prioritizing locations, demographics and countries What needs to be in place to maximize free traffic levels to your brands assets Understanding all the key tasks and attributes for an effective content program Data-Driven Content: Detailed instruction on how to use data to inform content responses, ideas and asset types Understanding different content asset types from standard items like articles to highly advanced assets like films, podcasts, white papers and other assets Calculating ROI for SEO and Content initiatives Small business marketing via content and SEO and having the right small business mindset for success Website and content design considerations (accessibility, principles of marketing) Optimizing for the future and looking at other search venues Amazon Optimization YouTube Optimization App Store Optimization (ASO) Podcast Optimization Optimizing Blogs and other off-site content Prepping and optimizing for the newest technologies, including voice search, artificial intelligence, and content discovery vehicles How to build an optimization path and programs that drive results and manage risks In addition to learning the most effective processes to structure your SEO, you will have access to bonus materia..…”

“…What You'll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical adviceIntegrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and SparkUse StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processingUtilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processingTurbocharge Spark with Alluxio, a distributed in-memory storage platformDeploy big data in the cloud using Cloudera DirectorPerform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and SparkUnderstand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasksImplement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modelingStudy real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and MastercardWho This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics…”

“…The book is available from Amazon, Barnes & Noble, and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. …”

“…Two-Factor Authentication provides a comprehensive evaluation of popular secondary authentication methods, such as: Hardware-based OTP generation SMS-based OTP delivery Phone call-based mechanisms Geolocation-aware authentication Push notification-based authentication Biometric authentication factors Smart card verification As well as examining MFA (multi-factor authentication), 2SV (two-step verification) and strong authentication (authentication that goes beyond passwords, using security questions or layered security), the book also discusses the wider application of TFA for the average consumer, for example at such organisations as Google, Amazon and Facebook. It a..…”

“…She has written 15 books and authored more than 300 computer training videos on Access and SQL Server development: work that has earned exceptionally high ratings at Amazon.com and elsewhere. Skill Level Intermediate Advanced What You Will Learn Database fundamentals every T-SQL developer needs to know How to make the most of common T-SQL statements, keywords, clauses, and functions How to write powerful queries using joins, subqueries, and other techniques How to take full advantage of Views to display, modify, index, and secure data How to design and improve SQL Server stored procedures How to create and work with triggers and User-Defined Functions (UDFs) How to analyze query performance Who Should Take This Course SQL Server database administrators (DBAs) who need to efficiently create tables, views, stored procedures, functions, and triggers Database developers who cannot rely on DBAs and must perform all T-SQL-related tasks on their own .NET, web, and client/server developers whose responsibilities include data/database access Microsoft Access power users seeking to deepen their skills in creating new solutions Microsoft Access developers moving to SQL Server Course Requirements Experience with either the SQL Server or Access databases as a DBA, developer, or intermediate-to-advanced user Table of Contents L..…”

“…What You Will Learn Configure your development environment to use Node.js and MongoDB Write and configure a web server using Node.js powered by the Express.js framework Build dynamic HTML pages using the Handlebars template engine Persist application data using MongoDB and Mongoose ODM Test your code using automated testing tools such as the Mocha framework Deploy the development environment to the cloud using services such as Heroku, Amazon Web Services, and Microsoft Azure Explore Single-Page application frameworks to take your web applications to the next level In Detail Node.js and MongoDB are quickly becoming one of the most popular tech stacks for the web. …”

“…He has spearheaded projects such as datacenter migration, introduction, and deployment of VMware, monitoring tools implementation, Amazon cloud migration, and many more. He is certified in Linux Systems Management, UNIX Operating Systems, Linux System Administration, System Internals, VMWare Certified Professional, RHCSA, and Windows Server Certified…”

“…He has spearheaded projects such as datacenter migration, introduction, and deployment of VMware, monitoring tools implementation, Amazon cloud migration, and many more. He is certified in Linux Systems Management, UNIX Operating Systems, Linux System Administration, System Internals, VMWare Certified Professional, RHCSA, and Windows Server Certified…”

“…These have been used to suchgreat effect by Google, Amazon, Yahoo!, and major commercial andfinancial firms, that a wave of publicity has resulted in recentyears, bordering on hype. …”

“…What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python’s Matplotlib library Use Apache Spark’s MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. …”