Kirjojen hintavertailu – 12 903 725 kirjaa ja 27 kauppaa

Kirjailija

David Pope

Kirjat ja teokset yhdessä paikassa: 10 kirjaa, julkaisuja vuosilta 2009–2020, suosituimpiin kuuluu Big Data Analytics with SAS. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

10 kirjaa

Kirjojen julkaisuvuodet: 2009–2020.

Talon: Mitten Saga Book One

Talon: Mitten Saga Book One

David Pope

Independently Published
2020
nidottu
The first book in a fantasy / horror series called the Mitten Saga. It encompasses many genres including fantasy, horror, science fiction and romance. I believe in telling a story and not padding a book with wordy descriptions, to me the story is paramount. A world has to start someplace and this world starts with this book, Talon, the first in a series of books about a place of fantasy, horror and high adventure.
Battle of Mesquite: US Reunification War

Battle of Mesquite: US Reunification War

David Pope

Spellbound Self-Publishing
2018
nidottu
Imagine the US torn in two, blue states and red states, fighting each other in a war for political supremacy and ownership of an AI that could be used to dominate the world From the battlefields in Nevada, to naval clashes off the California coast, to the halls of red and blue governments, follow the action and intrigue of a vast cast of characters to the war's ultimate conclusion. Who will be the victor? Get ready for a read with lots of twists and turns. In the end, for the right and the left, the world will be forever changed
Big Data Analytics with SAS

Big Data Analytics with SAS

David Pope

Packt Publishing Limited
2017
nidottu
Leverage the capabilities of SAS to process and analyze Big Data About This Book • Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics • Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS • Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn • Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. • Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. • Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. • Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS • Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.
NVQ/SVQ Level 2 Cleaning Student Book

NVQ/SVQ Level 2 Cleaning Student Book

Diane Canwell; David Pope; Tricia Rivers; Caroline Roberts; Ruth Whaites

pearson education limited
2009
nidottu
Up-to-date, tailored support to help candidates through their NVQ as quickly and easily as possible! Delivers the knowledge for the mandatory units and a range of popular option units for the NVQ and the new Technical Certificate, plus lots of help with preparation for assessment. Consistent style and layout builds candidates' confidence as they work through the text. Simple, accessible language helps to deliver the underpinning knowledge to candidates with basic skills needs, or English as a second language. Includes spaces for learners to write in order to aid evidence generation and portfolio building.