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Author: Robert Michon
Publisher: Createspace Independent Publishing Platform
ISBN: 9781546308492
Category :
Languages : en
Pages : 230
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Book Description
The Complete Guide to Software as a Service is truly "everything you need to know about SaaS." This is the only book available today that covers the multiple facets of the SaaS model: functional, operational, technical, security and financial. Starting with the definition and the origins of SaaS, it gives a 360-degree view of the inner workings of a SaaS business. This book is a must read for entrepreneurs who are launching a SaaS company. Learn the six ways to fail your SaaS start-up. It will also guide any software company who is transitioning from an on-premise license model to SaaS. Learn what IT and business functions must evolve when moving from one business model to the next. It also provides useful information and insight to different functional managers within a SaaS company. As well, users of SaaS software will become more knowledgeable clients of their SaaS providers after reading this book. Learn how to "read between the lines" of your SaaS contract and focus on the clauses where you have real negotiating power. For anyone interested in learning more about this important shift in the software industry, this book fills a void that exists today in the world of SaaS.
Author: Robert Michon
Publisher: Createspace Independent Publishing Platform
ISBN: 9781546308492
Category :
Languages : en
Pages : 230
Get Book Here
Book Description
The Complete Guide to Software as a Service is truly "everything you need to know about SaaS." This is the only book available today that covers the multiple facets of the SaaS model: functional, operational, technical, security and financial. Starting with the definition and the origins of SaaS, it gives a 360-degree view of the inner workings of a SaaS business. This book is a must read for entrepreneurs who are launching a SaaS company. Learn the six ways to fail your SaaS start-up. It will also guide any software company who is transitioning from an on-premise license model to SaaS. Learn what IT and business functions must evolve when moving from one business model to the next. It also provides useful information and insight to different functional managers within a SaaS company. As well, users of SaaS software will become more knowledgeable clients of their SaaS providers after reading this book. Learn how to "read between the lines" of your SaaS contract and focus on the clauses where you have real negotiating power. For anyone interested in learning more about this important shift in the software industry, this book fills a void that exists today in the world of SaaS.
Author: Danil Zburivsky
Publisher: Simon and Schuster
ISBN: 1617296449
Category : Computers
Languages : en
Pages : 334
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Book Description
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you''ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You''ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technology Access to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization''s data, and present it as useful business insights. about the book In Designing Cloud Data Platforms, you''ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you''ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you''ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what''s inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the reader For data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.
Author: Zhamak Dehghani
Publisher: "O'Reilly Media, Inc."
ISBN: 1492092363
Category : Computers
Languages : en
Pages : 387
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Book Description
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
Author: Jeff Carpenter
Publisher: O'Reilly Media
ISBN: 1098115139
Category : Computers
Languages : en
Pages : 429
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Book Description
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
Author: Michael Wittig
Publisher: Simon and Schuster
ISBN: 1638357196
Category : Computers
Languages : en
Pages : 794
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Book Description
Summary Amazon Web Services in Action, Second Edition is a comprehensive introduction to computing, storing, and networking in the AWS cloud. You'll find clear, relevant coverage of all the essential AWS services you to know, emphasizing best practices for security, high availability and scalability. Foreword by Ben Whaley, AWS community hero and author. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The largest and most mature of the cloud platforms, AWS offers over 100 prebuilt services, practically limitless compute resources, bottomless secure storage, as well as top-notch automation capabilities. This book shows you how to develop, host, and manage applications on AWS. About the Book Amazon Web Services in Action, Second Edition is a comprehensive introduction to deploying web applications in the AWS cloud. You'll find clear, relevant coverage of all essential AWS services, with a focus on automation, security, high availability, and scalability. This thoroughly revised edition covers the latest additions to AWS, including serverless infrastructure with AWS Lambda, sharing data with EFS, and in-memory storage with ElastiCache. What's inside Completely revised bestseller Secure and scale distributed applications Deploy applications on AWS Design for failure to achieve high availability Automate your infrastructure About the Reader Written for mid-level developers and DevOps engineers. About the Author Andreas Wittig and Michael Wittig are software engineers and DevOps consultants focused on AWS. Together, they migrated the first bank in Germany to AWS in 2013. Table of Contents PART 1 - GETTING STARTED What is Amazon Web Services? A simple example: WordPress in five minutes PART 2 - BUILDING VIRTUAL INFRASTRUCTURE CONSISTING OF COMPUTERS AND NETWORKING Using virtual machines: EC2 Programming your infrastructure: The command-line, SDKs, and CloudFormation Automating deployment: CloudFormation, Elastic Beanstalk, and OpsWorks Securing your system: IAM, security groups, and VPC Automating operational tasks with Lambda PART 3 - STORING DATA IN THE CLOUD Storing your objects: S3 and Glacier Storing data on hard drives: EBS and instance store Sharing data volumes between machines: EFS Using a relational database service: RDS Caching data in memory: Amazon ElastiCache Programming for the NoSQL database service: DynamoDB PART 4 - ARCHITECTING ON AWS Achieving high availability: availability zones, auto-scaling, and CloudWatch Decoupling your infrastructure: Elastic Load Balancing and Simple Queue Service Designing for fault tolerance Scaling up and down: auto-scaling and CloudWatch
Author: Peter Elger
Publisher: Simon and Schuster
ISBN: 1638350434
Category : Computers
Languages : en
Pages : 326
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Book Description
AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Summary Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development—and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That way, there’s no need to build expensive custom software. Artificial Intelligence (AI), a machine’s ability to learn and make predictions based on patterns it identifies, is already being leveraged by businesses around the world in areas like targeted product recommendations, financial forecasting and resource planning, customer service chatbots, healthcare diagnostics, data security, and more. With the exciting combination of serverless computing and AI, software developers now have enormous power to improve their businesses’ existing systems and rapidly deploy new AI-enabled platforms. And to get on this fast-moving train, you don’t have to invest loads of time and effort in becoming a data scientist or AI expert, thanks to cloud platforms and the readily available off-the-shelf cloud-based AI services! About the book AI as a Service is a fast-paced guide to harnessing the power of cloud-based solutions. You’ll learn to build real-world apps—such as chatbots and text-to-speech services—by stitching together cloud components. Work your way from small projects to large data-intensive applications. What's inside - Apply cloud AI services to existing platforms - Design and build scalable data pipelines - Debug and troubleshoot AI services - Start fast with serverless templates About the reader For software developers familiar with cloud basics. About the author Peter Elger and Eóin Shanaghy are founders and CEO/CTO of fourTheorem, a software solutions company providing expertise on architecture, DevOps, and machine learning. Table of Contents PART 1 - FIRST STEPS 1 A tale of two technologies 2 Building a serverless image recognition system, part 1 3 Building a serverless image recognition system, part 2 PART 2 - TOOLS OF THE TRADE 4 Building and securing a web application the serverless way 5 Adding AI interfaces to a web application 6 How to be effective with AI as a Service 7 Applying AI to existing platforms PART 3 - BRINGING IT ALL TOGETHER 8 Gathering data at scale for real-world AI 9 Extracting value from large data sets with AI
Author: K. Thomas Liaw
Publisher: Routledge
ISBN: 1000375730
Category : Business & Economics
Languages : en
Pages : 513
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Book Description
The Routledge Handbook of FinTech offers comprehensive coverage of the opportunities, challenges and future trends of financial technology. This handbook is a unique and in-depth reference work. It is organised in six thematic parts. The first part outlines the development, funding, and the future trends. The second focuses on blockchain technology applications and various aspects of cryptocurrencies. The next covers FinTech in banking. A significant element of FinTech, mobile payments and online lending, is included in the fourth part. The fifth continues with several chapters covering other financial services, while the last discusses ethics and regulatory issues. These six parts represent the most significant and overarching themes of FinTech innovations. This handbook will appeal to students, established researchers seeking a single repository on the subject, as well as policy makers and market professionals seeking convenient access to a one-stop guide.
Author: Jeff Carpenter
Publisher: "O'Reilly Media, Inc."
ISBN: 149209711X
Category : Computers
Languages : en
Pages : 433
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Book Description
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
Author: Rachel Harrison
Publisher: Van Haren
ISBN: 9087539754
Category : Architecture
Languages : en
Pages : 373
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Book Description
The TOGAF 9 certification program is a knowledge-based certification program. It has two levels, leading to certification for TOGAF 9 Foundation and TOGAF 9 Certified, respectively. The purpose of certification to TOGAF 9 Certified is to provide validation that, in addition to the knowledge and comprehension of TOGAF 9 Foundation level, the Candidate is able to analyze and apply this knowledge. The learning objectives at this level therefore focus on application and analysis in addition to knowledge and comprehension. This Study Guide supports students in preparation for the TOGAF 9 Part 2 Examination, leading to TOGAF 9 Certified.
Author: Fred Geyer
Publisher: Frederick Geyer
ISBN: 1734296925
Category : Business & Economics
Languages : en
Pages : 291
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Book Description
This book guides B2B leaders along a step by step path to uncommon growth through three transformative shifts: The Digital Selling Shift to digital demand generation, The Digital Customer Experience Makeover to digital customer engagement, The Digital Proposition Pivot to data-powered, digital solutions. The Definitive Guide is informed by the work of Fred Geyer at Prophet, a leading digital transformation consultancy, and Joerg Niessing at INSEAD, a global standard-bearer for business education. Rich case studies from Maersk, Michelin, Adobe, and Air Liquide with best practices from IBM, Salesforce.com, Thyssenkrupp, and scores of leading B2B companies illustrate how putting customers at the heart of digital transformation drives uncommon growth. Fred and Joerg map the route from customer insight to in-market implementation for each transformational shift in four steps: Where to Play - Identify top customer growth opportunities, How to Win - Build the strategy to win customer preference, What to Do - Effectively deliver the strategy, Who is Needed - Assemble the team to make it happen. The two biggest barriers to successful digital transformation, effectively using customer data and enabling employees, are addressed by outlining a clear path to navigate forward based on best practices from other leading companies. The guide has won rave reviews from B2B leaders: "This book illuminates the secret sauce of digital transformation in the B2B space" – David Aaker, renowned brand strategist and bestselling author. "A thought-provoking exploration of three crucial transformational shifts for B2B companies" – Vincent Clerc, CEO, Maersk Ocean & Logistics "This is a great guide to applying best practices to the formidable challenge of digital transformation in complex markets and supply chains." – Dr. Lars Brzoska, Chairman of the Board of Management, Jungheinrich AG. "By providing case examples and step by step assistance in determining where to play, how to win, what to do and who to win, this book fulfilled my need for inspiring and pragmatic transformation guidance" – Lindy Hood, Chief Customer Experience Officer, Zurich Financial North America
