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Practical Enterprise Data Lake Insights

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best;

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Data Lake for Enterprises

A practical guide to implementing your enterprise data lake using Lambda Architecture as the base About This Book * Build a full;

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Data Lake Development With Big Data

architectural approaches to building a Data Lake. It follows a use case-based approach where practical implementation scenarios of each key component;

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data;

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Database Modeling with Microsoft® Visio for Enterprise Architects

their job done. Although primarily focused on tool features, the book also provides an introduction to data modeling, and includes practical;

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Data Lakes

principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples;

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Practical Data Science

lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use;

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Enterprise Operations Management Handbook, Second Edition

data center. Topics include business issues, technology issues, and operational issues. This current, practical reference also reviews such;

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Enterprise Operations Management Handbook

data center. Topics include business issues, technology issues, and operational issues. This current, practical reference also reviews such;

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Practical Data Science with SAP Machine Learning Techniques for Enterprise Data

Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul;

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Data Lake Architecture

Organizations invest incredible amounts of time and money obtaining and then storing big data in data stores called data lakes. But how;

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Splunk 7.x Quick Start Guide

Learn how to architect, implement, and administer a complex Splunk Enterprise environment and extract valuable insights from business data;

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Enterprise Ontology

business processes, data and rules, to the benefit of the latter. Discussing the theoretical foundations of enterprise ontology and its practical;

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Enterprise Ontology

business processes, data and rules, to the benefit of the latter. Discussing the theoretical foundations of enterprise ontology and its practical;

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Effective Business Intelligence with QuickSight

From data to actionable business insights using Amazon QuickSight! About This Book * A practical hands-on guide to improving your;

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Mashup Patterns

a practical description, specific use cases, and crucial insights into the stability of mashups built with it. Ogrinz concludes by;

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Data Lake Analytics on Microsoft Azure

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses;

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Next Generation Big Data

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments;

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Oracle Enterprise Manager Cloud Control 12c

This book is a practical step-by-step tutorial with screenshots for carrying out tasks showing you how to manage and administer your data;

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Research and Practical Issues of Enterprise Information Systems

This book constitutes the refereed proceedings of the 12th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise;

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Administrative Healthcare Data

. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide.;

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Enterprise Data Architecture

This book is an essential read for Data Architects or indeed anyone wanting to improve the benefit that their organisation can derive from;

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Building the Digital Enterprise

The digital economy is at a tipping point. This practical book defines digital ecosystems, discusses digital design using converging;

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Time Series Analysis Using SAS Enterprise Guide

theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive;

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Data Model Patterns

Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization;

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Threat Forecasting

, along with tactics on how to use the data to their advantage to reduce risk. Drawing upon years of practical experience and using;

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Enterprise Android

The definitive guide to building data-driven Android applications for enterprise systems Android devices represent a rapidly growing share;

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