Find Median From Data Stream
Download Find Median From Data Stream PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Find Median From Data Stream book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Nail the Interview: Eighty Most Frequently Asked Algorithm and Data Structure Interview Questions With Optimal Solutions. Asked-in: Amazon, Facebook, Google, Microsoft, Morgan Stanley etc.
Author: Fissha Seyoum Teshome
language: en
Publisher: Fissha Seyoum Teshome
Release Date: 2022-09-29
This book presents optimal solutions for the problem statements at hand. The purpose of the book is to help the interviewee save time while preparing for Amazon, Facebook, Google, Microsoft, Morgan Stanley and Other similar big tech companies interview questions. It is recommended to have your own copy of the book and understand and exercise each of the questions thoroughly. The book presents eighty algorithm and data structure most frequently asked coding questions at Amazon, Facebook, Google, Microsoft, and Morgan Stanley but, it is also helpful to prepare oneself for other big tech job interview coding questions. The book is the answer for how to practice the best way to prepare for coding interviews. The internet sure has thousands of questions. Which should you practice for an interview? This book contains the most important 80 questions solved by different people including the author. The background for questions are from credible sources. It is the simplest and most efficient book organized for you the reader to successfully crack the interview coding section. To the most part, other thousands of questions are a mash of the techniques from these individual questions. The scope of the book is limited to only presenting coding questions, for the leadership as for Amazon for instance and other theoretical parts of the interview, the reader must prepare using other materials separately. Additionally, this book displays only optimal solutions in the Java language. The main goal is to save the readers time while searching for optimal solutions from the internet and get prepared in a short period of time to crack the interview code.
Awesome Tech Interviews
Author: Shalini Goyal, Alok Sharan
language: en
Publisher: Notion Press
Release Date: 2024-12-28
This comprehensive guide includes: 70+ illustrations to help visualize complex concepts. Techniques to decode FAANG and Toptier tech interviews. Foundations of System Design with 100+ free resource links. Tailored strategies for success before, during, and after interviews. 60+ questions and sample answers for mastering Behavioral interviews. 6 months structured roadmap to excel in DSA with 200+ free video and practice resource links. Proven job search techniques to increase your chances of landing your dream software engineering role in IT.
Data Stream Management
This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.