In this research paper, the author would like to take a look at the current Big Data vendors, and present the status quo of the leading Big Data solutions.
The Big Data market has grown significantly in the last years. The offered solutions are very sophisticated and cover a broad range of user requirements, and have become more user friendly. In the recent years, several well-known IT companies released new products that specialize in Big Data analysis. The desire to analyze more and more data to gain a better understanding of e.g. customer needs, manufacturing efficiencies or e.g. to create predictive analysis based on past consumer behavior drove the need to enhance the functionality of existing business intelligence solutions towards a more open Big Data architecture, that allows the analysis of massive amounts of structured and unstructured data.
Inhaltsverzeichnis (Table of Contents)
- 1 Introduction
- 2 The basics of Big Data
- 2.1 Definition
- 2.2 Historic Development
- 2.3 Usage and Application
- 3 Market overview Big Data solutions
- 3.1 Apache Hadoop - Enabling Big Data
- 3.2 Market analysis of Big Data solutions
- 3.3 Cost estimates
- 3.4 Big Data-Solutions of selected vendors
- 3.4.1 IBM
- 3.4.3 Oracle
- 3.4.4 SAP
- 3.4.5 Microsoft
- 4 Summary
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This research paper aims to provide a market overview of Big Data solutions. It explores the fundamental concepts of Big Data, its historical development, and its various applications. The paper also examines the market landscape, focusing on prominent vendors and their offerings.
- Definition and characteristics of Big Data
- Historical development of Big Data technologies
- Applications and use cases of Big Data solutions
- Market analysis of leading Big Data vendors
- Cost considerations of Big Data implementations
Zusammenfassung der Kapitel (Chapter Summaries)
1 Introduction: This introductory chapter sets the stage by recounting the author's early experience with data warehousing and business intelligence, highlighting the growing importance of Big Data analytics driven by the exponential increase in data generated by various sources. It lays out the paper's objective: to examine the current state of Big Data solutions and the prominent vendors in the field.
2 The basics of Big Data: This chapter provides a foundational understanding of Big Data. It defines Big Data, not just as large datasets but also as the methods and systems for analyzing them. It emphasizes that Big Data technology is not a single solution, but rather a confluence of innovations. The chapter then details the four key characteristics of Big Data: Volume, Variety, Velocity, and Veracity, illustrating each with practical examples and citing relevant research. Furthermore, the chapter traces the historical evolution of Big Data, emphasizing the limitations of conventional database systems in handling the burgeoning volume and variety of data, and introducing Apache Hadoop as a pivotal development enabling parallel data processing and real-time analysis. The chapter concludes by highlighting the increasing adoption of Big Data solutions by both large corporations and SMEs.
3 Market overview Big Data solutions: This chapter delves into the market landscape of Big Data solutions. It discusses Apache Hadoop as a cornerstone enabling technology, followed by a detailed market analysis assessing various aspects of the industry. The chapter also provides cost estimates associated with Big Data implementation. Finally, it offers in-depth profiles of several major vendors, including IBM, Oracle, SAP, and Microsoft, outlining their respective Big Data offerings and strategies. The detailed vendor comparisons enable the reader to critically evaluate the advantages and disadvantages of different solutions available in the market. This analysis encompasses both the technological aspects and the strategic implications for businesses considering investment in Big Data solutions.
Schlüsselwörter (Keywords)
Big Data, Data Analytics, Business Intelligence, Apache Hadoop, Market Analysis, Data Warehousing, Data Volume, Data Variety, Data Velocity, Data Veracity, Vendor Comparison, IBM, Oracle, SAP, Microsoft, Cost Estimation, SMEs.
Frequently Asked Questions: Big Data Market Overview
What is the purpose of this research paper?
This research paper aims to provide a comprehensive market overview of Big Data solutions. It explores the fundamental concepts of Big Data, its historical development, its various applications, and the market landscape, focusing on prominent vendors and their offerings.
What are the key themes covered in the paper?
The key themes include the definition and characteristics of Big Data, the historical development of Big Data technologies, applications and use cases of Big Data solutions, market analysis of leading Big Data vendors, and cost considerations of Big Data implementations.
What are the main chapters and their content?
The paper consists of four chapters: Chapter 1 provides an introduction and sets the context. Chapter 2 delves into the basics of Big Data, defining it, exploring its historical development, and outlining its key characteristics (Volume, Variety, Velocity, and Veracity). Chapter 3 offers a market overview of Big Data solutions, including an analysis of Apache Hadoop, a market analysis, cost estimates, and in-depth profiles of major vendors (IBM, Oracle, SAP, and Microsoft). Chapter 4 presents a summary of the findings.
What is Big Data, and what are its key characteristics?
Big Data is defined not only as large datasets but also as the methods and systems for analyzing them. Its key characteristics are Volume, Variety, Velocity, and Veracity. The paper provides practical examples to illustrate each characteristic.
What is the role of Apache Hadoop in Big Data?
Apache Hadoop is discussed as a pivotal technology enabling parallel data processing and real-time analysis, overcoming limitations of conventional database systems in handling large and diverse datasets.
Which vendors are profiled in the market analysis?
The market analysis provides in-depth profiles of IBM, Oracle, SAP, and Microsoft, outlining their Big Data offerings and strategies. The analysis compares their technological aspects and strategic implications for businesses.
What cost considerations are addressed in the paper?
The paper includes a section dedicated to cost estimates associated with Big Data implementation.
What are the key takeaways from the paper?
The paper provides a structured understanding of the Big Data landscape, from its fundamental concepts to a detailed market analysis, including vendor comparisons and cost considerations. It aims to equip readers with the knowledge to critically evaluate Big Data solutions and their potential impact on businesses.
What keywords are associated with this research?
Key words include Big Data, Data Analytics, Business Intelligence, Apache Hadoop, Market Analysis, Data Warehousing, Data Volume, Data Variety, Data Velocity, Data Veracity, Vendor Comparison, IBM, Oracle, SAP, Microsoft, Cost Estimation, and SMEs.
- Quote paper
- Wolfgang Steinhart (Author), 2017, Big Data Software Solutions by IBM, Oracle, SAP and Microsoft. A Market Overview, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/369045