Oracle Incident Response and Forensics
Take the right steps when a breach of your Oracle Database environment becomes known or suspected. You will learn techniques for discerning how an attacker got in, what data they saw, and what else they might have done. This book helps you understand forensics in relation to Oracle Database, and the tools and techniques that should be used to investigate a database breach. You will learn the measures to put in place now to make it harder for an attack to be successful, and to aid in the detection and investigation of future attacks. You will know how to bring together tools and methods to create a holistic approach and investigation when an event occurs, helping you to be confident of your ability to react correctly and responsibly to threats against your organization's data. Detect when breaches have or may have occurred; React with confidence using an organized plan; Determine whether a suspected breach is real; Determine the scope of data that has been compromised; Preserve ev ...
Take the right steps when a breach of your Oracle Database environment becomes known or suspected. You will learn techniques for discerning how an attacker got in, what data they saw, and what else they might have done. This book helps you understand forensics in relation to Oracle Database, and the tools and techniques that should be used to investigate a database breach. You will learn the measures to put in place now to make it harder for an attack to be successful, and to aid in the detection and investigation of future attacks. You will know how to bring together tools and methods to create a holistic approach and investigation when an event occurs, helping you to be confident of your ability to react correctly and responsibly to threats against your organization's data. Detect when breaches have or may have occurred; React with confidence using an organized plan; Determine whether a suspected breach is real; Determine the scope of data that has been compromised; Preserve ev ...
Data Science on the Google Cloud Platform
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. Automate and schedule data ingest, using an App Engine application; Create and populate a dashboard in Google Data Studio; Build a real-time analysis pipeline to carry out streaming analytics; Conduct interactive data exploration with Google BigQuery; Create a Bayesian model on a Cloud Dataproc cluster; ...
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. Automate and schedule data ingest, using an App Engine application; Create and populate a dashboard in Google Data Studio; Build a real-time analysis pipeline to carry out streaming analytics; Conduct interactive data exploration with Google BigQuery; Create a Bayesian model on a Cloud Dataproc cluster; ...
Analyzing Data with Power BI and Power Pivot for Excel
How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It's meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way - like experienced data modelers do. As you'll soon see, with the right data model, the correct answer is always a simple one! Gain an understanding of the basics of data modeling, including tables, relationships, and keys; Familiarize yourself with star schemas, snowflakes, and common modeling techniques; Learn the importance of granularity; Discover how to use multiple fact tables, like sales ...
How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It's meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way - like experienced data modelers do. As you'll soon see, with the right data model, the correct answer is always a simple one! Gain an understanding of the basics of data modeling, including tables, relationships, and keys; Familiarize yourself with star schemas, snowflakes, and common modeling techniques; Learn the importance of granularity; Discover how to use multiple fact tables, like sales ...
Network Security Through Data Analysis, 2nd Edition
Traditional intrusion detection and logfile analysis are no longer enough to protect today's complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You'll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. Use sensors to collect network, service, host, and active domain data; Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect; Detect unusual phenomena through exploratory data analysis (EDA ...
Traditional intrusion detection and logfile analysis are no longer enough to protect today's complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You'll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. Use sensors to collect network, service, host, and active domain data; Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect; Detect unusual phenomena through exploratory data analysis (EDA ...
Better Business Decisions from Data
Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you're a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data: Statistical Analysis for Professional Success provides the answers to these questions and more. It will show you how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. With the arrival of Big Data, statistical processing has taken on a new level of importance. Kenny lays a foundation for understanding the importance and value of Big Data, and then he shows how mined data can help you see your business in a new light and uncover opportunity. ...
Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you're a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data: Statistical Analysis for Professional Success provides the answers to these questions and more. It will show you how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. With the arrival of Big Data, statistical processing has taken on a new level of importance. Kenny lays a foundation for understanding the importance and value of Big Data, and then he shows how mined data can help you see your business in a new light and uncover opportunity. ...
Competing with High Quality Data
Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data takes a holistic approach to improving data quality, from collection to usage. ...
Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data takes a holistic approach to improving data quality, from collection to usage. ...
Practical Data Science Cookbook
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples in the two most popular programming languages for data analysis - R and Python. ...
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples in the two most popular programming languages for data analysis - R and Python. ...
The Pragmatist's Guide to Corporate Lean Strategy
Use this practical, step-by-step guide on lean agile strategy to harness technological disruption at your large business to successfully advance your business rather than suffer a loss of business. The lean agile enterprise concept is demystified and translated into action as the author shares his experience with both success and major failure in areas such as healthcare, insurance, major airline, manufacturing, financial services, education, and big data. The author shares the good, the bad, and the ugly of enterprise-level adoption of lean startup practices (what we call a "lean corporation"). The book provides step-by-step instructions specifically targeted to technologists in multiple roles - from CEO to a developer on the ground - on how to build a "lean agile corporation" and avoid common traps. Building on the experience of the "lean startup" framework of Steven Blank and Eric Reis, this book takes these concepts to the enterprise level by providing tips and best practice gui ...
Use this practical, step-by-step guide on lean agile strategy to harness technological disruption at your large business to successfully advance your business rather than suffer a loss of business. The lean agile enterprise concept is demystified and translated into action as the author shares his experience with both success and major failure in areas such as healthcare, insurance, major airline, manufacturing, financial services, education, and big data. The author shares the good, the bad, and the ugly of enterprise-level adoption of lean startup practices (what we call a "lean corporation"). The book provides step-by-step instructions specifically targeted to technologists in multiple roles - from CEO to a developer on the ground - on how to build a "lean agile corporation" and avoid common traps. Building on the experience of the "lean startup" framework of Steven Blank and Eric Reis, this book takes these concepts to the enterprise level by providing tips and best practice gui ...
Big Data Architect's Handbook
The 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 ...
The 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 ...
Beginning Backup and Restore for SQL Server
Be guided through the techniques to back up and restore databases and files in SQL Server. Multiple techniques are presented for ensuring the integrity and consistency of database backups, as well as the reliability and manageability of restoring from backups. In today's data-driven world, the most important asset that a company has is its data. Data recovery strategies can be wide ranging; from the practically non-existent backup without verification to a very complex, distributed, and redundant system. An important objective for any database administrator is data loss prevention, and in a catastrophic data loss event, pre-defined data recovery techniques must be employed in order to get the databases back up and running efficiently and quickly. Using a tutorial method of teaching, Beginning Backup and Restore for SQL Server explores the many facets behind the principles of backing up and restoring data from your database, and then shows practical application methods for gettin ...
Be guided through the techniques to back up and restore databases and files in SQL Server. Multiple techniques are presented for ensuring the integrity and consistency of database backups, as well as the reliability and manageability of restoring from backups. In today's data-driven world, the most important asset that a company has is its data. Data recovery strategies can be wide ranging; from the practically non-existent backup without verification to a very complex, distributed, and redundant system. An important objective for any database administrator is data loss prevention, and in a catastrophic data loss event, pre-defined data recovery techniques must be employed in order to get the databases back up and running efficiently and quickly. Using a tutorial method of teaching, Beginning Backup and Restore for SQL Server explores the many facets behind the principles of backing up and restoring data from your database, and then shows practical application methods for gettin ...