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Towards Efficient Data Analysis And Management Of Semi Structured Data
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Book Synopsis Towards Efficient Data Analysis and Management of Semi-structured Data by : Shirish Tatikonda
Download or read book Towards Efficient Data Analysis and Management of Semi-structured Data written by Shirish Tatikonda and published by . This book was released on 2010 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of managing tree-structured data, first, we develop an indexing mechanism that extracts discriminant features from the database and indexes them using a simple tunable inverted structure. Such an index is complemented with an efficient holistic query processing technique that retrieves the matches by operating entirely on space-efficient sequential representation of trees. Second, we propose a framework that enables the development of application-specific hash functions that convert variable-sized graph and tree structured data into fixed-sized hash values. We demonstrate the usability of this framework by developing a hash-based distributed data placement service for semi-structured data. We argue that this service is capable of supporting large scale data management and data mining algorithms.
Book Synopsis Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation by : Stanisław Kozielski
Download or read book Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation written by Stanisław Kozielski and published by Springer. This book was released on 2017-05-16 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroń, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression.
Book Synopsis Scaling Up Machine Learning by : Ron Bekkerman
Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Book Synopsis Towards Efficient Data Processing Methods for In-memory Architectures by : Zuyu Zhang
Download or read book Towards Efficient Data Processing Methods for In-memory Architectures written by Zuyu Zhang and published by . This book was released on 2019 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics is a process that distills data into meaningful insights. Data analytics platforms today encounter numerous challenges, and this thesis focuses on two key ones: First, the volume of data continues to grow at an alarming rate, and in many cases surpasses the speed that other computing components (such as hardware) are speeding up. Thus there are unending needs to pursue higher and higher performance for data analytics applications. Second, the diversity of data analytics is growing, and it is not unusual for organizations today to have multiple different styles of analytics, sometimes on the same data. Today to support multiple analytics styles it is not unusual for enterprises to have separate data platforms, with one platform for each analytics category / style. It, however, would be far more effective if multiple analytics styles can be supported in a single data platform. This thesis focuses on this aspect, and furthermore narrows down the scope to both SQL and graph analytics. The goal is to reuse the query execution and storage layer in a relational database engine to support specialized (and more highly-tuned) graph analysis. The key outcome is that specialized graph algorithms can be implemented using the same systems infrastructure that has been used to build a relational system, and thus leveraging that infrastructure for two (and in general more than two) applications. We first examine an important data partitioning primitive, and for in-memory settings. Data partitioning, in many cases, is the key performance bottleneck, and we study it within the context of a relational query processing system. For broader research use in this area, we propose the Partition Benchmark, which composes of a broad set of data parameters including the different tuple sizes and data formats. We observed that a simple textbook implementation and the software-managed buffer methods are quite versatile across various data settings. Then we describe a unified data platform that supports both SQL and graph analytics. We outline the design and implementation of a key mechanism, namely a general scheduling framework, and a underlying 'work-order' based scheduling mechanism that allows supporting both analytics types. We demonstrate our ability to run SQL queries using the Star Schema Benchmark, and exploit the triangle counting problem as a typical graph analytics use case.
Book Synopsis Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) by : Gaikar Vilas Bhau
Download or read book Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) written by Gaikar Vilas Bhau and published by Springer Nature. This book was released on 2022-12-22 with total page 1514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Book Synopsis Hands-On Big Data Modeling by : James Lee
Download or read book Hands-On Big Data Modeling written by James Lee and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.
Book Synopsis Innovation unleashed: AITEK 6 by : Bruno Ciroussel
Download or read book Innovation unleashed: AITEK 6 written by Bruno Ciroussel and published by BoD - Books on Demand. This book was released on 2023-08-24 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the cutting-edge concepts of the manual AITEK 6 platform: auto-ML, custom vector base, autonomous process management and predictive dashboards with innovative knowledge cartridges.
Book Synopsis Leaders and Innovators by : Tho H. Nguyen
Download or read book Leaders and Innovators written by Tho H. Nguyen and published by John Wiley & Sons. This book was released on 2016-08-26 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated, strategic approach to higher-value analytics Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics shows how businesses leverage enterprise analytics to gain strategic insights for profitability and growth. The key factor is integrated, end-to-end capabilities that encompass data management and analytics from a business and IT perspective; with analytics running inside a database where the data reside, everyday analytical processes become streamlined and more efficient. This book shows you what analytics is, what it can do, and how you can integrate old and new technologies to get more out of your data. Case studies and examples illustrate real-world scenarios in which an optimized analytics system revolutionized an organization's business. Using in-database and in-memory analytics along with Hadoop, you'll be equipped to improve performance while reducing processing time from days or weeks to hours or minutes. This more strategic approach uncovers the opportunities hidden in your data, and the detailed guidance to optimal data management allows you to break through even the biggest data challenges. With data coming in from every angle in a constant stream, there has never been a greater need for proactive and agile strategies to overcome these struggles in a volatile and competitive economy. This book provides clear guidance and an integrated strategy for organizations seeking greater value from their data and becoming leaders and innovators in the industry. Streamline analytics processes and daily tasks Integrate traditional tools with new and modern technologies Evolve from tactical to strategic behavior Explore new analytics methods and applications The depth and breadth of analytics capabilities, technologies, and potential makes it a bottomless well of insight. But too many organizations falter at implementation—too much, not enough, or the right amount in the wrong way all fail to deliver what an optimized and integrated system could. Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics shows you how to create the system your organization needs to dramatically improve performance, increase profitability, and drive innovation at all levels for the present and future.
Book Synopsis Frontiers in Civil and Hydraulic Engineering, Volume 2 by : Mohamed A. Ismail
Download or read book Frontiers in Civil and Hydraulic Engineering, Volume 2 written by Mohamed A. Ismail and published by CRC Press. This book was released on 2023-03-23 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Civil and Hydraulic Engineering focuses on the research of architecture and hydraulic engineering in civil engineering. The proceedings feature the most cutting-edge research directions and achievements related to civil and hydraulic engineering. Subjects in the proceedings including: Engineering Structure Intelligent Building Structural Seismic Resistance Monitoring and Testing Hydraulic Engineering Engineering Facility The works of this proceedings can promote development of civil and hydraulic engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Book Synopsis Intelligent Data Analysis by : Deepak Gupta
Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-04-27 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Book Synopsis International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 by : Jemal H. Abawajy
Download or read book International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 written by Jemal H. Abawajy and published by Springer. This book was released on 2019-07-31 with total page 2132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to be able to secure our cyberfuture. The approaches and findings described in this book are of interest to businesses and governments seeking to secure our data and underpin infrastructures, as well as to individual users.
Book Synopsis SQL for Data Analytics by : Upom Malik
Download or read book SQL for Data Analytics written by Upom Malik and published by . This book was released on 2019-08-22 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.
Book Synopsis SQL for Data Analytics by : Jun Shan
Download or read book SQL for Data Analytics written by Jun Shan and published by Packt Publishing Ltd. This book was released on 2022-08-29 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets Key Features Master each concept through practical exercises and activities Discover various statistical techniques to analyze your data Implement everything you've learned on a real-world case study to uncover valuable insights Book Description Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional. What you will learn Use SQL to clean, prepare, and combine different datasets Aggregate basic statistics using GROUP BY clauses Perform advanced statistical calculations using a WINDOW function Import data into a database to combine with other tables Export SQL query results into various sources Analyze special data types in SQL, including geospatial, date/time, and JSON data Optimize queries and automate tasks Think about data problems and find answers using SQL Who this book is for If you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.
Book Synopsis Diginomics Research Perspectives by : Lars Hornuf
Download or read book Diginomics Research Perspectives written by Lars Hornuf and published by Springer Nature. This book was released on 2022-09-10 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on traditional fields of business studies and economics and how digitalization has affected them. It provides an overview about the lessons learned from academic research and highlights implications for practitioners. Digitalization has not only changed the ways business administration and economics are taught, but also the substance at the core of the two disciplines. Chapters from expert contributors define and carefully evaluate the developments that have occurred over the last decades. The authors further provide an assessment of how industry branches have adapted and in which form regulators have engaged. Attention is given to the theoretical and empirical findings from recent scholarly literature. Furthermore, the authors provide some novel insights from their own research at the University of Bremen. This book appeals to business administration, economics, and entrepreneurship scholars and practitioners alike.
Book Synopsis Converging Pharmacy Science and Engineering in Computational Drug Discovery by : Tripathi, Rati Kailash Prasad
Download or read book Converging Pharmacy Science and Engineering in Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and published by IGI Global. This book was released on 2024-04-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Book Synopsis Data Analytics and Machine Learning by : Pushpa Singh
Download or read book Data Analytics and Machine Learning written by Pushpa Singh and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Towards Resource-efficient Data Analytics by : Aarati Kakaraparthy
Download or read book Towards Resource-efficient Data Analytics written by Aarati Kakaraparthy and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is exploding at an exponential rate, accompanied by an increase in consumption of resources to store and process the data. Being resource-efficient is a critical aspect of systems for data analytics. To this end, we investigate three opportunities of improving the resource efficiency arising from 1) adapting to the hardware, 2) adapting to the workload, and 3) re-evaluating the abstractions provided by the system. For (1), we study widely used storage devices, namely solid state drives (SSDs). The internaloperation and algorithms used by commercial SSDs are not readily accessible to the user, and we develop novel benchmarks to uncover an SSD's hidden parameters . Learning hidden parameters allows us to improve the SELECT operation performance of SQLite3 and MariaDB by 29% and 27% respectively on the Samsung 960 Evo SSD, while also increasing the lifetime of the SSD. For (2), we study the hash table - a data structure which is widely used in systems for data analytics. Real-world workloads often have skew, i.e., some keys are accessed more frequently than others. We develop mechanisms to adapt the hash table to skew in the workload in a completely online fashion, resulting in improved cache-efficiency. The proposed technique called VIP Hashing reduces the end-to-end execution time of TPC-H query 9 on DuckDB by 20%. Lastly, for (3), we focus on dataframe libraries used for data analysis. Inspired by the fun-damental technique of normalization used in relational database systems, we describe a technique called splitting to improve the memory efficiciency of dataframes. In our experiments, we found that notebooks running on split dataframes in the Ibis library observe a decrease in memory usage of 19-23% compared to running on regular dataframes.
