Big data architect's handbook : a guide to building proficiency in tools and systems used by leading big data experts / Syed Muhammad Fahad Akhtar
نوع المادة :![نص](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781788835824
- 9781788836388
- 1788836383
- 1788835824
- QA76.9.B45 A348 2018
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.B45 A348 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000001113 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
QA76.9.A94 P37 2017 Augmented human : how technology is shaping the new reality / | QA76.9.A96 F745 2015 The little prover / | QA76.9.A96 F745 2015 The little prover / | QA76.9.B45 A348 2018 Big data architect's handbook : a guide to building proficiency in tools and systems used by leading big data experts / | QA76.9.B45 A6755 2018 Applications of big data analytics : trends, issues, and challenges / | QA76.9.B45 A6755 2018 Applications of big data analytics : trends, issues, and challenges / | QA76.9.B45 B45 2019 البيانات الضخمة = Big Data : أساسيات واستخدامات تعاريف ومكونات وأنواع / |
Annotation A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the "masters" of data, and hold high value in today's market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect's Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architectsWho this book is forBig Data Architect's Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect