Analiza danych

Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions

Francisco Munoz Alvarez, Aman Sharma

The three main responsibilities of a successful DBA are to ensure the availability, recoverability, and performance of any database. To ensure the recoverability of any database, a DBA needs to have a strong backup and recovery skills set. Every DBA is always looking for a reference book that will help them to solve any possible backup and recovery situation that they can come across in their professional life.Oracle Database 12c Backup and Recovery Survival Guide has the unique advantage to be a reference to all Oracle backup and recovery options available, making it essential for any DBA in the world. If you are new to Oracle Database, this book will introduce you to the fantastic world of backup and recovery that is vital to your success. If you are an experienced DBA, this book will become a reference guide and will also help you to learn some possible new skills, or give you some new ideas you were never aware about. It will also help you to easily find the solution to some of the most well known problems you could find during your career as a DBA. This book contains useful screenshots, scripts, and examples that you will find more than useful.Most of the books currently available in the market concentrate only on the RMAN utility to backup and recovery. This book will be an exception to the rule and will become a must-have reference, allowing you to design a real and complete backup and recovery strategy. It covers the most important topics on Oracle database such as backup strategies, Nologging operations, new features in 12c, user managed backups and recoveries, RMAN (including reporting, catalog management, troubleshooting, and performance tuning), advanced data pump, Oracle Enterprise Manager 12c and SQL Developer.Oracle Database 12c Backup and Recovery Survival Guide contains everything a DBA needs to know to keep data safe and recoverable, using real-life scenarios.

OSINT w praktyce. Jak gromadzić i analizować dane dostępne w sieci

Dale Meredith

Pojęcie OSINT pochodzi od angielskiego wyrażenia open source intelligence i oznacza biały wywiad. Polega na pozyskiwaniu danych z publicznie dostępnych źródeł. Okazuje się, że niezwykle cenne informacje są dostępne na wyciągnięcie ręki, ale trzeba wiedzieć, w jaki sposób do nich dotrzeć. A potrafi to być niezwykle wciągające zajęcie, przy okazji którego można poznać podstawy cyberbezpieczeństwa, zrozumieć czyhające w internecie zagrożenia i nauczyć się zabezpieczać swoją cyfrową obecność. Z tą książką krok po kroku zagłębisz się w metody OSINT, a także powiązane z nim zagadnienia natury prawnej i etycznej. Poznasz sposoby gromadzenia i analizowania informacji z wykorzystaniem wyszukiwarek, portali społecznościowych i innych zasobów internetowych. Zrozumiesz wagę anonimowości i technik gwarantujących bezpieczne poruszanie się po sieci, ułatwiających zarządzanie cyfrowym śladem czy tworzenie fikcyjnych tożsamości internetowych. Zdobędziesz również doświadczenie w korzystaniu z popularnych narzędzi OSINT, takich jak Recon-ng, Maltego, Shodan czy Aircrack-ng. Dowiesz się też, jak ograniczać ryzyko, przewidywać cyberataki, zapobiegać im i na nie reagować - wszystko dzięki technikom opartym na OSINT. W książce: działanie OSINT i najlepsze praktyki automatyzacja zbierania i analizy danych dane z mediów społecznościowych a OSINT zarządzanie swoim cyfrowym śladem, ograniczanie ryzyka i ochrona prywatności skuteczny program analizy ryzyka na bazie OSINT zwiększanie bezpieczeństwa firmy technikami OSINT Dołącz potężne narzędzia OSINT do swojego arsenału!

Pandas Basics. Mastering Data Analysis with Pandas

Mercury Learning and Information, Oswald Campesato

This book is essential for aspiring data scientists and anyone needing to perform data cleaning using Pandas and NumPy. It offers numerous code samples and comprehensive coverage of NumPy and Pandas features, including writing regular expressions. Chapter 3 introduces fundamental statistical concepts, while Chapter 7 delves into data visualization using Matplotlib and Seaborn. Companion files with code are available for download from the publisher.Starting with an introduction to Python, the course progresses through working with data, and then moves into Pandas, covering its functionalities in three detailed chapters. The statistical concepts provided are crucial for analyzing data effectively, while the visualization techniques enhance the ability to present data insights clearly.By the end of this course, users will have a solid foundation in data manipulation and cleaning, statistical analysis, and data visualization, enabling them to tackle real-world data science tasks confidently and efficiently.

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

William Ayd, Matthew Harrison, Wes McKinney

Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.*Email sign-up and proof of purchase required

Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Theodore Petrou

This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.

Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools

Francesco Corti

This hands-on tutorial, filled with exercises and examples, introduces the reader to a variety of concepts within Pentaho Reporting. With screenshots that show you how reports look at design time as well as how they should look when rendered as PDF, Excel, HTML, Text, Rich-Text-File, XML, and CSV, this book also contains complete example source code that you can copy and paste into your environment to get up-and-running quickly. Updated to cover the features of Pentaho 8, this book will teach you everything you need to know to build fast, efficient reports using Pentaho. If your interest lies in the technical details of creating reports and you want to see how to solve common reporting problems with a minimum of fuss, this is the book for you.

Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition

María Carina Roldán

Capturing, manipulating, cleansing, transferring, and loading data effectively are the prime requirements in every IT organization. Achieving these tasks require people devoted to developing extensive software programs, or investing in ETL or data integration tools that can simplify this work.Pentaho Data Integration is a full-featured open source ETL solution that allows you to meet these requirements. Pentaho Data Integration has an intuitive, graphical, drag-and-drop design environment and its ETL capabilities are powerful. However, getting started with Pentaho Data Integration can be difficult or confusing.Pentaho Data Integration Beginner's Guide - Second Edition provides the guidance needed to overcome that difficulty, covering all the possible key features of Pentaho Data Integration.Pentaho Data Integration Beginner's Guide - Second Edition starts with the installation of Pentaho Data Integration software and then moves on to cover all the key Pentaho Data Integration concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to do all kinds of data manipulation and work with plain files. Then, the book gives you a primer on databases and teaches you how to work with databases inside Pentaho Data Integration. Moreover, you will be introduced to data warehouse concepts and you will learn how to load data in a data warehouse. After that, you will learn to implement simple and complex processes. Finally, you will have the opportunity of applying and reinforcing all the learned concepts through the implementation of a simple datamart.With Pentaho Data Integration Beginner's Guide - Second Edition, you will learn everything you need to know in order to meet your data manipulation requirements.

Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho

María Carina Roldán

Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution.This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers.By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis.