Mastering Apache Pinot

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Mastering Apache Pinot

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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-12-30

Mastering Apache Pinot written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.

"Mastering Apache Pinot: Real-Time Analytics at Scale" is an authoritative resource designed to equip readers with the comprehensive knowledge needed to harness the full potential of Apache Pinot, a powerful real-time distributed OLAP datastore. As the demand for rapid data insights grows, Apache Pinot emerges as a vital tool, enabling organizations to process vast data streams with unmatched speed and efficiency. This book meticulously covers every facet of Apache Pinot, from setup to advanced configuration, providing readers a clear road map to deploying robust, scalable analytic solutions. The text delves into the practicalities of data ingestion, schema design, and query optimization, offering practical guidance for maximizing system performance. Readers will explore how to integrate Pinot with a wide array of data systems, securing data while ensuring seamless access and control. Real-world case studies across diverse industries are presented, demonstrating Apache Pinot's transformative role in driving data-driven decisions. Additionally, the book anticipates future trends and provides insights into best practices, empowering readers to stay ahead in the rapidly evolving analytics landscape. Ideal for data engineers, analysts, and IT professionals, "Mastering Apache Pinot" serves as both an instructive guide and a valuable reference, skillfully blending theoretical concepts with actionable insights. This book invites readers to not only implement effective analytics infrastructure but also actively contribute to the dynamic Apache Pinot community, fostering continued growth and innovation in real-time data processing.

Mastering Enterprise Solution Modeling

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Author : Sean (Chunhong) Gu
language : en
Publisher: Springer Nature
Release Date : 2024-12-19

Mastering Enterprise Solution Modeling written by Sean (Chunhong) Gu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Technology & Engineering categories.

Embark on a journey through the Agile-Enterprise Solution Architecture (A-ESA) framework with this in-depth guide designed to provide a structured approach to IT solution modeling. The modeling approach is based on the principles of simplicity, significance, and systematics. It effectively addresses architectural debt issues in today's agile and large-scale IT solutions. Beginning with a foundational overview of A-ESA model specifications, the book introduces readers to the intent and unique methodologies behind A-ESA. It then delves into practical demonstrations through example solution cases, offering real-world context and insights into various architectural styles. Each chapter builds on this knowledge, covering the governing ideas of the thinking framework and essential topics such as key metrics, and modeling considerations for diverse architectural styles, ensuring a thorough understanding of A-ESA's application in different contexts. The book also emphasizes the link between enterprise architecture (EA) and solution architecture (SA), and the importance of governance and measurement in maintaining the integrity and effectiveness of architectural solutions. Readers will explore critical metrics, governance techniques, and the impact of agile modeling on purpose and architectural leading practices. With practical examples, measurement techniques, and governance strategies, this guide equips readers with the cognitive and practical tools necessary for strategic and effective architectural thinking. Concluding with reflections and future outlooks, this comprehensive guide offers valuable insights for mastering IT solution modeling within the A-ESA framework. You Will: Gain hands-on experience with the Agile-Enterprise Solution Architecture (A-ESA) framework through detailed examples and solution cases that illustrate various architectural styles and modeling techniques. Understand the critical metrics and model mappings necessary for evaluating architectural quality and performance. Develop a deep understanding of the A-ESA architectural thinking, including strategic, enterprise, business, data, and cloud architecture considerations This book is for : IT architects, enterprise architects, and solutions architects.

Mastering Kafka Streams And Ksqldb

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Author : Mitch Seymour
language : en
Publisher:
Release Date : 2021-04-13

Mastering Kafka Streams And Ksqldb written by Mitch Seymour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with categories.

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies

The Self Service Data Roadmap

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Author : Sandeep Uttamchandani
language : en
Publisher: O'Reilly Media
Release Date : 2020-09-10

The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization

Pro Php Security

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Author : Chris Snyder
language : en
Publisher: Apress
Release Date : 2011-07-29

Pro Php Security written by Chris Snyder and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-29 with Computers categories.

PHP security, just like PHP itself, has advanced. Updated for PHP 5.3, the second edition of this authoritative PHP security book covers foundational PHP security topics like SQL injection, XSS, user authentication, and secure PHP development. Chris Snyder and Tom Myer also delve into recent developments like mobile security, the impact of JavaScript, and the advantages of recent PHP hardening efforts. Pro PHP Security, Second Edition will serve as your complete guide for taking defensive and proactive security measures within your PHP applications. Beginners in secure programming will find a lot of material on secure PHP development, the basics of encryption, secure protocols, as well as how to reconcile the demands of server-side and web application security.

The Phoenix Project

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Author : Gene Kim
language : en
Publisher: IT Revolution
Release Date : 2018-02-06

The Phoenix Project written by Gene Kim and has been published by IT Revolution this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-06 with Business & Economics categories.

***Over a half-million sold! And available now, the Wall Street Journal Bestselling sequel The Unicorn Project*** “Every person involved in a failed IT project should be forced to read this book.”—TIM O'REILLY, Founder & CEO of O'Reilly Media “The Phoenix Project is a must read for business and IT executives who are struggling with the growing complexity of IT.”—JIM WHITEHURST, President and CEO, Red Hat, Inc. Five years after this sleeper hit took on the world of IT and flipped it on it's head, the 5th Anniversary Edition of The Phoenix Project continues to guide IT in the DevOps revolution. In this newly updated and expanded edition of the bestselling The Phoenix Project, co-author Gene Kim includes a new afterword and a deeper delve into the Three Ways as described in The DevOps Handbook. Bill, an IT manager at Parts Unlimited, has been tasked with taking on a project critical to the future of the business, code named Phoenix Project. But the project is massively over budget and behind schedule. The CEO demands Bill must fix the mess in ninety days or else Bill's entire department will be outsourced. With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with a manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited. In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again. “This book is a gripping read that captures brilliantly the dilemmas that face companies which depend on IT, and offers real-world solutions.”—JEZ HUMBLE, Co-author of Continuous Delivery, Lean Enterprise, Accelerate, and The DevOps Handbook

Pandas In Action

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Author : Boris Paskhaver
language : en
Publisher: Simon and Schuster
Release Date : 2021-10-12

Pandas In Action written by Boris Paskhaver and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Computers categories.

Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn how to: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game. About the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world. What's inside Organize, group, merge, split, and join datasets Find trends in text-based and time-based data Sort, filter, pivot, optimize, and draw conclusions Apply aggregate operations About the reader For readers experienced with spreadsheets and basic Python programming. About the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. Table of Contents PART 1 CORE PANDAS 1 Introducing pandas 2 The Series object 3 Series methods 4 The DataFrame object 5 Filtering a DataFrame PART 2 APPLIED PANDAS 6 Working with text data 7 MultiIndex DataFrames 8 Reshaping and pivoting 9 The GroupBy object 10 Merging, joining, and concatenating 11 Working with dates and times 12 Imports and exports 13 Configuring pandas 14 Visualization

Natural Language Processing With Tensorflow

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Author : Thushan Ganegedara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-31

Natural Language Processing With Tensorflow written by Thushan Ganegedara and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-31 with Computers categories.

Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features Focuses on more efficient natural language processing using TensorFlow Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches Provides choices for how to process and evaluate large unstructured text datasets Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence Book Description Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks. What you will learn Core concepts of NLP and various approaches to natural language processing How to solve NLP tasks by applying TensorFlow functions to create neural networks Strategies to process large amounts of data into word representations that can be used by deep learning applications Techniques for performing sentence classification and language generation using CNNs and RNNs About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks How to write automatic translation programs and implement an actual neural machine translator from scratch The trends and innovations that are paving the future in NLP Who this book is for This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.

Data Leadership

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Author : Anthony J. Algmin
language : en
Publisher:
Release Date : 2020-10-14

Data Leadership written by Anthony J. Algmin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-14 with categories.

Data has never been more important to your success than it is today, yet you are surrounded with data you can't trust, and the overwhelming burden of fixing it. Everyone deserves data that helps-not hurts-their organization.

Database Internals

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Author : Alex Petrov
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-13

Database Internals written by Alex Petrov and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency