ORACLE PL/SQLInterview Questions You'll Most Likely Be Asked is arguably the future for enterprise information systems. Corporations, both large and small, are looking for resources who know their job in depth. ORACLE PL/SQL Interview Questions You'll Most Likely Be Asked is a perfect companion to stand a head above the rest in today's competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build a career as a ORACLE PL/SQL Professional. If you think this book just covers important topics in brief, then you are mistaken It covers questions those are based on project knowledge and experience gained on successful high-profile ORACLE implementers. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer.
Includes:
(a) 261 ORACLE PL/SQL Interview Questions, Answers and Proven Strategies for getting hired as an ORACLE PL/SQL Professional
(b) Dozens of examples to respond to interview questions
(c) 77 HR Questions with Answers and Proven strategies to give specific, impressive, answers that help nail the interviews
(d) 2 Aptitude Tests included on the CD-ROM
Автор: Jones Herbert Название: Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database ISBN: 1647483263 ISBN-13(EAN): 9781647483265 Издательство: Неизвестно Рейтинг: Цена: 27580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
If you are looking to start a new career that is in high demand, then you need to continue reading.
Data scientists are changing the way big data is used in different institutions.
Big data is everywhere, but without the right person to interpret it, it means nothing.
So where do business find these people to help change their business?
You could be that person
It has become a universal truth that businesses are full of data.
With the use of big data, the US healthcare could reduce their health-care spending by $300 billion to $450 billion.
It can easily be seen that the value of big data lies in the analysis and processing of that data, and that's where data science comes in.
Data Science from Scratch includes:
In-depth information about what data science is and why it is important.
The prerequisites you will need to get started in data science.
What it means to be a data scientist.
The roles that hacking and coding play in data science.
The different coding languages that can be used in data science.
Why python is so important.
How to use linear algebra and statistics.
The different applications for data science.
How to work with the data through munging, cleaning, and more.
And much more
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
As businesses and the internet change, so will data science. This means it's important to be flexible.
When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in?
If you want to get started in a new, ever-growing, career, don't wait any longer. Buy this book today.
Автор: Bhansali, Neera Название: Strategic Data Warehousing ISBN: 0367385341 ISBN-13(EAN): 9780367385347 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Organization of data warehouses is a vital, but often neglected, aspect of growing an enterprise. Unlike most books on the subject that focus on either the technical aspects of building data warehouses or on business strategies, this valuable reference synthesizes technological know-how with managerial best practices to show how improved alignment between data warehouse plans and business strategies can lead to successful data warehouse adoption capable of supporting an enterprise's entire infrastructure.
Strategic Data Warehousing: Achieving Alignment with Business provides data warehouse developers, business managers, and IT professionals and administrators with an integrated approach to achieving successful and sustainable alignment of data warehouses and business goals. More complete than any other text in the field, this comprehensive reference details the joint roles and responsibilities of the data warehouse and business managers in achieving strategic alignment, business user satisfaction, technical integration, and improved flexibility.
Complete with case studies that depict real-world scenarios, the text:
Examines the organizational, user, data, and technological factors proven to promote successful data warehousing
Includes actionable solutions for achieving strategic alignment
Provides a model that readers can apply in aligning their own data warehouse needs and business goals
Achieving sustainable alignment between the data warehouse and business strategies is a continuous process. Armed with this valuable reference, readers will be able to gain the solid understanding of the organizational, technical, data, and user factors needed to promote a successful data warehouse adoption and become active partners in leveraging this powerful, but often overlooked, information reso
Автор: Cotй Christian, Gutzait Michelle Название: Hands-On Data Warehousing with Azure Data Factory: ETL techniques to load and transform data from various sources, both on-premises and on cloud ISBN: 1789137624 ISBN-13(EAN): 9781789137620 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Azure Data Factory (ADF) is a Microsoft Azure PaaS solution which supports data movement between many on premises and cloud data sources. This book covers custom tailored tutorials to help you develop , maintain and troubleshoot data movement processes and environments using Azure Data Factory V2 and SQL Server Integration Services 2017
Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations
Key Features
Build and scale modern data solutions using the all-in-one Snowflake platform
Perform advanced cloud analytics for implementing big data and data science solutions
Make quicker and better-informed business decisions by uncovering key insights from your data
Book Description
Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.
You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.
As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.
By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.
What You Will Learn
Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
Optimize performance and costs associated with a Snowflake solution
Stage data on object stores and load it into Snowflake
Secure data and share it efficiently for access
Manage transactions and extend Snowflake using stored procedures
Extend cloud data applications using Spark Connector
Who this book is for
This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.
Автор: Kyriazis, Voulodimos, Gogouvitis Название: Data Intensive Storage Services For Cloud Environments ISBN: 1466639342 ISBN-13(EAN): 9781466639348 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the evolution of digitised data, our society has become dependent on services to extract valuable information and enhance decision making by individuals, businesses, and government in all aspects of life. Therefore, emerging cloud-based infrastructures for storage have been widely thought of as the next generation solution for the reliance on data increases. <em>Data Intensive Storage Services for Cloud Environments</em> provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments. This reference source brings together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers.
Автор: Schulz, Greg, Название: Software-Defined Data Infrastructure Essentials ISBN: 149873815X ISBN-13(EAN): 9781498738156 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Нет в наличии. Описание:
Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends.
We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industry veterans. --Gert and Frank Brouwer, Brouwer Storage Consultancy
Software-Defined Data Infrastructures Essentials provides the foundational building blocks to improve your craft in serval areas including applications, clouds, legacy, and more. IT professionals, as well as sales professionals and support personnel, stand to gain a great deal by reading this book.--Mark McSherry, Oracle Regional Sales Manager
Looking to expand your data infrastructure IQ? From CIOS to operations, sales to engineering, this book is a comprehensive reference, a must read for IT infrastructure professionals, beginners to seasoned experts.--Tom Becchetti, Advisory Systems Engineer
Greg Schulz has provided a complete 'toolkit' for storage management along with the background and framework for the storage or data infrastructure professional or those aspiring to become one.--Greg Brunton, Experienced Storage and Data Management Professional
This book examines how cloud-based services challenge the current application of antitrust and privacy laws in the EU and the US. The author looks at the elements of data centers, the way information is organized, and how antitrust, competition and privacy laws in the US and the EU regulate cloud-based services and their market practices. She discusses how platform interoperability can be a driver of incremental innovation and the consequences of not promoting radical innovation. She evaluates applications of predictive analysis based on big data as well as deriving privacy-invasive conduct. She looks at the way antitrust and privacy laws approach consumer protection and how lawmakers can reach more balanced outcomes by understanding the technical background of cloud-based services.
Автор: Altaiar, Has Lee, Jack Pena, Michael Название: Cloud analytics with microsoft azure ISBN: 1839216409 ISBN-13(EAN): 9781839216404 Издательство: Неизвестно Рейтинг: Цена: 36770.00 T Наличие на складе: Невозможна поставка. Описание: Cloud Analytics with Microsoft Azure is an end-to-end guide to processing and analyzing big data using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data.
Автор: Mucchetti Mark Название: Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud ISBN: 1484261852 ISBN-13(EAN): 9781484261859 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intermediate-Advanced user level
Автор: Morgan Nick, Jarkowski Bartosz Название: SAP on Azure Implementation Guide ISBN: 1838983988 ISBN-13(EAN): 9781838983987 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There are typically two main reasons why you may consider migrating SAP to Azure: You need to replace the infrastructure that is currently running SAP, or you want to migrate SAP to a new database. This book will guide you through migrating your SAP data to Azure simply and successfully.
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