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We're back with How I Launched This: A SaaS story! This week, Stephanie Wong (@stephr_wong) talks with Alvin Richards about Redis Labs, a company optimizing the Redis open source in-memory database system to build better managed tools for enterprise clients.Alvin begins the show describing how his love of solving complex development problems and great people skills have put him in a unique position to act as intermediary between engineers and clients, gaining insights into real-world problems and how to solve them. Looking to the future, Alvin's team also anticipates client needs, creating database products that will continue to help clients as their projects evolve.Later in the show, Alvin describes how the Redis system built in the cloud was reworked to also provide on-prem offerings. We learn how Redis Labs was able to fill a gap in the market by offering a database product that both developers and clients could understand, adapt, and use. Alvin introduces us to other Redis Labs products, including Redis for Enterprise which allows tiering between memory forms, in-memory caching, scaling, and more for a flexible database experience.We wrap up the show with a discussion of what it's like coordinating the development of such a large open source project and why Redis Labs supports open source. Alvin offers advice to other companies, stressing the importance of building solutions with both the creator and client in mind and educating clients and developers to use the software effectively. We talk about the future of open source in SaaS companies and how important it will be for scaling SaaS technology. Alvin concludes by encouraging everyone to ultimately find joy in what they do.Episode Links:RedisRedis LabsDockerMemorystoreMongoDBElasticRedis University

ix, 158 pages : 24 cm

ix, 158 pages : 24 cm

An object model and the corresponding instance diagram embody all the concepts-object identity, structure, behavior, interaction, inheritance, and encapsulation-of the object-oriented paradigm. In an object-oriented data model, an entity is represented as an instance (object) of a class that has a set of properties and operations (methods) applied to the objects. A class, and hence an object, may inherit properties and methods from related classes. Objects and classes are dynamic and can be created at any time. With an object model, database implementation may begin. As with many other areas in computer science, true understanding of a novel concept comes only from hands-on work. In the case of object-oriented database systems, this means constructing simple object models and writing programs to implement and process them. This tutorial gives the fundamentals to tackle these tasks.

An object model and the corresponding instance diagram embody all the concepts-object identity, structure, behavior, interaction, inheritance, and encapsulation-of the object-oriented paradigm. In an object-oriented data model, an entity is represented as an instance (object) of a class that has a set of properties and operations (methods) applied to the objects. A class, and hence an object, may inherit properties and methods from related classes. Objects and classes are dynamic and can be created at any time. With an object model, database implementation may begin. As with many other areas in computer science, true understanding of a novel concept comes only from hands-on work. In the case of object-oriented database systems, this means constructing simple object models and writing programs to implement and process them. This tutorial gives the fundamentals to tackle these tasks.

A user of a database management system has an intuitive idea of a transaction as a sequence of database commands that he or she submits. The user expects this sequence of commands to be executed in the order of submission, without interference from other database commands submitted by other users. Techniques for doing this while concurrently supporting multiple database users are well known for conventional (i.e., not multilevel) database systems [2]. Transaction management theory for conventional database systems is not only mature, but useful in practice. The corresponding theory for multilevel secure database systems is still developing but some progress has been made [3,5,6,7,8,9,10].

This book is for the beginners students of database. It include all new and old methods of database.

The Department of Defense (DOD) has an extensive family of models used to simulate the mission level interaction of weapon systems. Interoperability and reuse of the underlying data files used to create simulation scenarios pose great challenges in this regard. Unlike traditional data integration methods common to federated database research, the emerging field of agent-oriented information systems (AOIS) views data as the central focus of an application while also providing an overall architectural framework for application development. We develop an AOIS solution relevant to this problem domain by combining object-oriented data modeling (OMT), a persistent programming language using a commercial object oriented database (ObjectStore ), and an agent- oriented analysis and design methodology (MaSE). Requirements from a contractor-led effort at the Air Force Research Laboratory (AFRL) known as CERTCORT are the basis for analysis and design of our system. We implement prototypical information-layer applications to conceptually demonstrate the reusability and integration of scenarios across simulation models.

The Department of Defense (DOD) has an extensive family of models used to simulate the mission level interaction of weapon systems. Interoperability and reuse of the underlying data files used to create simulation scenarios pose great challenges in this regard. Unlike traditional data integration methods common to federated database research, the emerging field of agent-oriented information systems (AOIS) views data as the central focus of an application while also providing an overall architectural framework for application development. We develop an AOIS solution relevant to this problem domain by combining object-oriented data modeling (OMT), a persistent programming language using a commercial object oriented database (ObjectStore ), and an agent- oriented analysis and design methodology (MaSE). Requirements from a contractor-led effort at the Air Force Research Laboratory (AFRL) known as CERTCORT are the basis for analysis and design of our system. We implement prototypical information-layer applications to conceptually demonstrate the reusability and integration of scenarios across simulation models.

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/15-optimizer3.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/15-optimizer3.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/15-optimizer3.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/15-optimizer3.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

In this paper, which is the first in a series of papers associated with cataclysmic variables and related objects, we introduce the CATUABA code, a numerical machinery written for analysis of the MOCCA simulations, and show some first results by investigating the present-day population of cataclysmic variables in globular clusters. Emphasis was given on their properties and the observational selection effects when observing and detecting them. In this work we analysed in this work six models, including three with Kroupa distributions of the initial binaries. We found that for models with Kroupa initial distributions, considering the standard value of the efficiency of the common envelope phase adopted in BSE, no single cataclysmic variable was formed only via binary stellar evolution, i. e., in order to form them, strong dynamical interactions have to take place. We show and explain why this is inconsistent with observational and theoretical results. Our results indicate that the population of cataclysmic variables in globular clusters is, mainly, in the last stage of their evolution and observational selection effects can drastically change the expected number of observed cataclysmic variables. We show that the probability of observing them during the outbursts is extremely small and conclude that the best way of looking for cataclysmic variables in globular clusters is by searching for variabilities during quiescence, instead of during outbursts. For that, one would need a very deep observation which could reach magnitudes $\gtrsim$ 27 mag. Finally, we argue that cataclysmic variables in globular clusters are not necessarily magnetic.

This article is from BMC Bioinformatics , volume 15 . Abstract Background: Bacterial pathogenicity represents a major public health concern worldwide. Secretion systems are a key component of bacterial pathogenicity, as they provide the means for bacterial proteins to penetrate host-cell membranes and insert themselves directly into the host cells’ cytosol. Burkholderia mallei is a Gram-negative bacterium that uses multiple secretion systems during its host infection life cycle. To date, the identities of secretion system proteins for B. mallei are not well known, and their pathogenic mechanisms of action and host factors are largely uncharacterized. Description: We present the Database of Burkholderia malleiSecretion Systems (DBSecSys), a compilation of manually curated and computationally predicted bacterial secretion system proteins and their host factors. Currently, DBSecSys contains comprehensive experimentally and computationally derived information about B. mallei strain ATCC 23344. The database includes 143 B. mallei proteins associated with five secretion systems, their 1,635 human and murine interacting targets, and the corresponding 2,400 host-B. mallei interactions. The database also includes information about 10 pathogenic mechanisms of action for B. mallei secretion system proteins inferred from the available literature. Additionally, DBSecSys provides details about 42 virulence attenuation experiments for 27 B. mallei secretion system proteins. Users interact with DBSecSys through a Web interface that allows for data browsing, querying, visualizing, and downloading. Conclusions: DBSecSys provides a comprehensive, systematically organized resource of experimental and computational data associated with B. mallei secretion systems. It provides the unique ability to study secretion systems not only through characterization of their corresponding pathogen proteins, but also through characterization of their host-interacting partners.The database is available at https://applications.bhsai.org/dbsecsys.

This article is from BMC Bioinformatics , volume 15 . Abstract Background: Bacterial pathogenicity represents a major public health concern worldwide. Secretion systems are a key component of bacterial pathogenicity, as they provide the means for bacterial proteins to penetrate host-cell membranes and insert themselves directly into the host cells’ cytosol. Burkholderia mallei is a Gram-negative bacterium that uses multiple secretion systems during its host infection life cycle. To date, the identities of secretion system proteins for B. mallei are not well known, and their pathogenic mechanisms of action and host factors are largely uncharacterized. Description: We present the Database of Burkholderia malleiSecretion Systems (DBSecSys), a compilation of manually curated and computationally predicted bacterial secretion system proteins and their host factors. Currently, DBSecSys contains comprehensive experimentally and computationally derived information about B. mallei strain ATCC 23344. The database includes 143 B. mallei proteins associated with five secretion systems, their 1,635 human and murine interacting targets, and the corresponding 2,400 host-B. mallei interactions. The database also includes information about 10 pathogenic mechanisms of action for B. mallei secretion system proteins inferred from the available literature. Additionally, DBSecSys provides details about 42 virulence attenuation experiments for 27 B. mallei secretion system proteins. Users interact with DBSecSys through a Web interface that allows for data browsing, querying, visualizing, and downloading. Conclusions: DBSecSys provides a comprehensive, systematically organized resource of experimental and computational data associated with B. mallei secretion systems. It provides the unique ability to study secretion systems not only through characterization of their corresponding pathogen proteins, but also through characterization of their host-interacting partners.The database is available at https://applications.bhsai.org/dbsecsys.

This article is from BMC Bioinformatics , volume 15 . Abstract Background: Bacterial pathogenicity represents a major public health concern worldwide. Secretion systems are a key component of bacterial pathogenicity, as they provide the means for bacterial proteins to penetrate host-cell membranes and insert themselves directly into the host cells’ cytosol. Burkholderia mallei is a Gram-negative bacterium that uses multiple secretion systems during its host infection life cycle. To date, the identities of secretion system proteins for B. mallei are not well known, and their pathogenic mechanisms of action and host factors are largely uncharacterized. Description: We present the Database of Burkholderia malleiSecretion Systems (DBSecSys), a compilation of manually curated and computationally predicted bacterial secretion system proteins and their host factors. Currently, DBSecSys contains comprehensive experimentally and computationally derived information about B. mallei strain ATCC 23344. The database includes 143 B. mallei proteins associated with five secretion systems, their 1,635 human and murine interacting targets, and the corresponding 2,400 host-B. mallei interactions. The database also includes information about 10 pathogenic mechanisms of action for B. mallei secretion system proteins inferred from the available literature. Additionally, DBSecSys provides details about 42 virulence attenuation experiments for 27 B. mallei secretion system proteins. Users interact with DBSecSys through a Web interface that allows for data browsing, querying, visualizing, and downloading. Conclusions: DBSecSys provides a comprehensive, systematically organized resource of experimental and computational data associated with B. mallei secretion systems. It provides the unique ability to study secretion systems not only through characterization of their corresponding pathogen proteins, but also through characterization of their host-interacting partners.The database is available at https://applications.bhsai.org/dbsecsys.

Association for Computing Machinery: Transactions on Database Systems 1984: Volume 9 , Issue CONTENTS. Digitized from IA1534630-02 . Previous issue: sim_acm-transactions-on-database-systems_1983-12_8_4 . Next issue: sim_acm-transactions-on-database-systems_1984-03_9_1 .

Association for Computing Machinery: Transactions on Database Systems 1987: Volume 12 , Issue CONTENTS. Digitized from IA1534630-02 . Previous issue: sim_acm-transactions-on-database-systems_1986-12_11_4 . Next issue: sim_acm-transactions-on-database-systems_1987-03_12_1 .

Association for Computing Machinery: Transactions on Database Systems 1987: Volume 12 , Issue CONTENTS. Digitized from IA1534630-02 . Previous issue: sim_acm-transactions-on-database-systems_1986-12_11_4 . Next issue: sim_acm-transactions-on-database-systems_1987-03_12_1 .

Association for Computing Machinery: Transactions on Database Systems 1987: Volume 12 , Issue CONTENTS. Digitized from IA1534630-02 . Previous issue: sim_acm-transactions-on-database-systems_1986-12_11_4 . Next issue: sim_acm-transactions-on-database-systems_1987-03_12_1 .

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/07-compilation.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/07-compilation.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

This document is an white paper about how to connect reverse engineering and programing skills to extract data from a proprietary implementation of a database system to build EML-Tools for data format conversion into raw data. This article shows how to access data of a source software system without any interface for data conversion. We discuss how raw data can be transfered into structural format by using XML or any other custom designed software solution. For demonstration purposes only, we will use a CRM system called Harmony(r) by Harmony(r) Software AG, the programing language Python and methods of computer security, which are used to get quick access to the raw data. All trademarks are property of their owners, as Harmony(r) is of Harmony Software AG.

Check the channel for more related content

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/21-yellowbrick.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/21-yellowbrick.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

Association for Computing Machinery: Transactions on Database Systems 1995: Volume 20 , Issue CONTENTS. Digitized from IA1534630-02 . Previous issue: sim_acm-transactions-on-database-systems_1994-12_19_4 . Next issue: sim_acm-transactions-on-database-systems_1995-03_20_1 .

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/03-data2.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/03-data2.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

In today's world, Web-Based Distance Education Systems have a great importance. Web-based Distance Education Systems are usually known as Learning Management Systems (LMS). In this article, a database design, which was developed to create an educational institution as a Learning Management System, is described. In this sense, developed Learning Management System consists of basis of Virtual Education Institutions. In this study, a fully relational database design has been realized in compliance with SCORM standards and got ready to be used as Virtual Education Institutions. This system can be used for any required education institute and it can be run within the same interface. In LMS that will be generated, a faculty or institute can be defined and academic and all administrative processes of the defined institute can be managed with the designed system. Proposed database design has been used in a LMS of Afyon Kocatepe University. In this system, many processes like indexing, uploading, downloading, production and editing of web based learning materials can also be performed easily and safely. (Contains 17 figures.)

Title from cover

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/18-databricks.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/18-databricks.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

The key elements of research performed during the year long effort of this project are: Investigate the effects of heterogeneity in distributed real time systems; Study the requirements to TRAC towards building a heterogeneous database system; Study the effects of performance modeling on distributed database performance; and Experiment with an ORACLE based heterogeneous system.

Andy Pavlo (https://www.cs.cmu.edu/~pavlo/) Slides: https://15721.courses.cs.cmu.edu/spring2024/slides/01-modernolap.pdf Notes: https://15721.courses.cs.cmu.edu/spring2024/notes/01-modernolap.pdf 15-721 Advanced Database Systems (Spring 2024) Carnegie Mellon University https://15721.courses.cs.cmu.edu/spring2024/

TRI 1 2019/2020

TRI 1 2019/2020

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Computer systems have enjoyed an exponential growth in processor speed for the last 20 years, while DRAM main memory speed improves only moderately. Today a cache miss to main memory takes hundreds of processor cycles, and this gap between processor and DRAM speeds is widening exponentially. Recent database performance studies have pointed out that about 50% or more of the execution time of database systems in main memory is often wasted due to cache misses. On the other hand, several decades of database studies have invented many I/O techniques to better tolerate the disk-to-memory gap. Increasingly larger main memories in server systems can hold more and more hot data in databases. Therefore, the memory-to-cache gap is becoming the major performance problem for database systems. In this talk, I rethink database system designs to exploit modern computer architecture features. In particular, I exploit the CPU cache hierarchy and software prefetch instructions supported by most modern processors for relational database systems. Cache prefetching can load data into the cache before use, thus reducing the impact of cache misses. I focus on important structures and algorithms with intriguing, non-contiguous memory access patterns: the B+-Tree index, and the hash join algorithm. I will present novel prefetching techniques for B+-trees and hash joins. I will report on the results of extensive performance studies, demonstrating the dramatic performance improvements of the prefetching techniques over traditional algorithms and other cache friendly schemes. ©2005 Microsoft Corporation. All rights reserved.

Computer systems have enjoyed an exponential growth in processor speed for the last 20 years, while DRAM main memory speed improves only moderately. Today a cache miss to main memory takes hundreds of processor cycles, and this gap between processor and DRAM speeds is widening exponentially. Recent database performance studies have pointed out that about 50% or more of the execution time of database systems in main memory is often wasted due to cache misses. On the other hand, several decades of database studies have invented many I/O techniques to better tolerate the disk-to-memory gap. Increasingly larger main memories in server systems can hold more and more hot data in databases. Therefore, the memory-to-cache gap is becoming the major performance problem for database systems. In this talk, I rethink database system designs to exploit modern computer architecture features. In particular, I exploit the CPU cache hierarchy and software prefetch instructions supported by most modern processors for relational database systems. Cache prefetching can load data into the cache before use, thus reducing the impact of cache misses. I focus on important structures and algorithms with intriguing, non-contiguous memory access patterns: the B+-Tree index, and the hash join algorithm. I will present novel prefetching techniques for B+-trees and hash joins. I will report on the results of extensive performance studies, demonstrating the dramatic performance improvements of the prefetching techniques over traditional algorithms and other cache friendly schemes. ©2005 Microsoft Corporation. All rights reserved.

Computer systems have enjoyed an exponential growth in processor speed for the last 20 years, while DRAM main memory speed improves only moderately. Today a cache miss to main memory takes hundreds of processor cycles, and this gap between processor and DRAM speeds is widening exponentially. Recent database performance studies have pointed out that about 50% or more of the execution time of database systems in main memory is often wasted due to cache misses. On the other hand, several decades of database studies have invented many I/O techniques to better tolerate the disk-to-memory gap. Increasingly larger main memories in server systems can hold more and more hot data in databases. Therefore, the memory-to-cache gap is becoming the major performance problem for database systems. In this talk, I rethink database system designs to exploit modern computer architecture features. In particular, I exploit the CPU cache hierarchy and software prefetch instructions supported by most modern processors for relational database systems. Cache prefetching can load data into the cache before use, thus reducing the impact of cache misses. I focus on important structures and algorithms with intriguing, non-contiguous memory access patterns: the B+-Tree index, and the hash join algorithm. I will present novel prefetching techniques for B+-trees and hash joins. I will report on the results of extensive performance studies, demonstrating the dramatic performance improvements of the prefetching techniques over traditional algorithms and other cache friendly schemes. ©2005 Microsoft Corporation. All rights reserved.

Computer systems have enjoyed an exponential growth in processor speed for the last 20 years, while DRAM main memory speed improves only moderately. Today a cache miss to main memory takes hundreds of processor cycles, and this gap between processor and DRAM speeds is widening exponentially. Recent database performance studies have pointed out that about 50% or more of the execution time of database systems in main memory is often wasted due to cache misses. On the other hand, several decades of database studies have invented many I/O techniques to better tolerate the disk-to-memory gap. Increasingly larger main memories in server systems can hold more and more hot data in databases. Therefore, the memory-to-cache gap is becoming the major performance problem for database systems. In this talk, I rethink database system designs to exploit modern computer architecture features. In particular, I exploit the CPU cache hierarchy and software prefetch instructions supported by most modern processors for relational database systems. Cache prefetching can load data into the cache before use, thus reducing the impact of cache misses. I focus on important structures and algorithms with intriguing, non-contiguous memory access patterns: the B+-Tree index, and the hash join algorithm. I will present novel prefetching techniques for B+-trees and hash joins. I will report on the results of extensive performance studies, demonstrating the dramatic performance improvements of the prefetching techniques over traditional algorithms and other cache friendly schemes. ©2005 Microsoft Corporation. All rights reserved.

Bibliography: leaves 23-24

Bibliography: leaves 23-24

Bibliography: leaves 23-24

Title from cover

It is use to learn about  database systems

It is use to learn about  database systems

It is use to learn about  database systems

13 p. 28 cm

The mission of the Accession Medical Standards Analysis & Research Activity (AMSARA) is to support the development of evidence based medical standards for the Department of Defense (DoD) by guiding improvement of medical and administrative databases and conducting epidemiologic and special studies analyses. AMSARA's mission has recently expanded to include analysis and studies of existing disability tri-service evaluation system by the request of the Office of Assistant Secretary of Defense, Health Affairs. The DES Annual Report includes executive summary, methods, history of medical disqualification, pre-existing conditions, accession medical waiver, and hospitalization among service members evaluated for disability, service disability evaluation databases limitations from FY 07 to FY12, data quality and standardization recommendations.

Database systems for real time applications must satisfy timing constraints associated with transactions, in addition to maintaining data consistency. Recently, interests in object oriented databases have been growing for nontraditional applications of database systems, and several real time applications are being developed using an object oriented paradigm. The object-oriented approach seems promising for developing complex real-time database applications. However, it is not clear whether object oriented database systems would be superior than relational database systems for supporting real-time applications. In this paper, we address issues that must be investigated in order to design and develop an object oriented database system for realtime applications. Also, we present a model that integrates features for scheduling real-time transactions with the traditional object-oriented database model.

Tri 1 2022/2023 (Term Id 2210)

Tri 2 2018/2019