Catalog Search Results
Author
Pub. Date
[2022]
Language
English
Description
Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of the book, you'll have...
2) Data Control
Author
Pub. Date
2020.
Language
English
Description
Businesses are becoming increasingly aware of the importance of data and information. As such, they are eager to develop ways to Ňmanageň them, to enrich them and take advantage of them. Indeed, the recent explosion of a phenomenal amount of data, and the need to analyze it, brings to the forefront the well-known hierarchical model: 䟚ta, Information, Knowledgeň. 䟚taň- this new intangible manna - is produced in real time. It arrives in a continuous...
Author
Pub. Date
2021.
Language
English
Description
From a global pandemic to extreme weather, the events of 2020 and 2021 have caused organizations to make quick and constant adjustments to their strategy and operations. This transformation is likely to continue and have a major impact on analytics. Not only do responders to Experian's annual Global Data Management survey confirm more demand for data insights, but most of them also believe the lack of agility hurt their organization's responses to...
Author
Pub. Date
[2022]
Language
English
Description
By 2025, the estimated global volume of data is expected to reach 180 ZB, more than double the amount collected in 2020. Yet despite data's increased presence and value within organizations, solutions for ensuring data quality have received little attention. This report examines how adequate observability combined with best practices for data logging and monitoring can help organizations efficiently redistribute their management of data quality and...
6) Data lakes
Series
Pub. Date
2020
Language
English
Description
The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics...
7) Scalable big data architecture: a practitioner's guide to choosing relevant big data architecture
Author
Series
Pub. Date
[2016]
Language
English
Author
Pub. Date
2015.
Language
English
Description
Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go About This Book Teaches you everything you need to know to get started with Apache Oozie from scratch and manage your data pipelines effortlessly Learn to write data ingestion workflows with the help of real-life examples from the author's own personal experience Embed Spark jobs to run your machine learning models on top of Hadoop Who This...
Author
Pub. Date
[2017]
Language
English
Description
"The world of Hadoop and 'Big Data' can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems! This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities...
Author
Pub. Date
2021.
Language
English
Description
Start your AWS data engineering journey with this easy-to-follow, hands-on guide and get to grips with foundational concepts through to building data engineering pipelines using AWS Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses...
Author
Pub. Date
2023.
Language
English
Description
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer who depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work. Author Andy Petrella helps...
Author
Pub. Date
2023
Language
English
Description
Discover how Snowflake's unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipes Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn core modeling techniques tied to practical examples using native Snowflake architecture Adopt a universal modeling language to communicate business value to functional teams Go beyond physical modeling with SQL recipes...
Author
Pub. Date
[2022]
Language
English
Description
Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud-based, data warehousing platform. This book provides a detailed how-to explanation, and assumes familiarity with Snowflake core concepts and principles. It is a project-oriented book with a hands-on approach to designing, developing, and implementing your Data Cloud with security at the center. As you work through...
Author
Pub. Date
[2022]
Language
English
Description
Understand the essentials of the Snowflake Database and the overall Snowflake Data Cloud. This book covers how Snowflake's architecture is different from prior on-premises and cloud databases. The authors also discuss, from an insider perspective, how Snowflake grew so fast to become the largest software IPO of all time. Snowflake was the first database made specifically to be optimized with a cloud architecture. This book helps you get started using...
Author
Pub. Date
[2015]
Language
Español
Description
E-Renovarse o morir nos presenta las siete tendencias digitales que marcarán nuestro futuro y que supondrán un punto de inflexión en nuestra vidas: realidad aumentada, gamificación, drones, impresoras 3D, bioimpresión, Internet de las Cosas y Big Data. A través de sus historias de éxito (y fracaso) entenderás de forma muy amena su aplicación en la empresa, en la lucha contra las enfermedades, el mundo del deporte, la educación,...
Author
Series
Pub. Date
2015.
Language
English
Description
"This IBM Redbooks publication demonstrates and documents how to implement and manage an IBM PowerLinux cluster for big data focusing on hardware management, operating systems provisioning, application provisioning, cluster readiness check, hardware, operating system, IBM InfoSphere BigInsights, IBM Platform Symphony, IBM Spectrum Scale (formerly IBM GPFS), applications monitoring, and performance tuning. This publication shows that IBM PowerLinux...
Author
Series
Advances in information systems set volume 1
Pub. Date
2015.
Language
English
Description
A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for).
Today's decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by...
Author
Pub. Date
2014.
Language
English
Description
Lead your organization into the industrial revolution of analytics with “The Analytics Revolution”.
The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. “The Analytics Revolution”...
Author
Pub. Date
2023
Language
English
Description
A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data Explorer Free PDF included with this book Key Features Augment advanced analytics projects with your IoT and application data Expand your existing Azure Synapse environments with unstructured data Build industry-level projects on integration, experimentation, and dashboarding with Azure...
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