An Interview with Oracle's Larry Ellison
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Evolution of Database Technology
Introduction and Database Technology By EM Bakker September 11, 2012 Databases and Data Mining 1 DBDM Introduction Databases and Data Mining Projects at LIACS Biological and Medical Databases and Data Mining CMSB (Phenotype Genotype), DIAL CGH DB Cyttron: Visualization of the Cell GRID Computing VLe: Virtual Lab e-Science environments DAS3/DAS4 super computer Research on Fundamentals of Databases and Data Mining Database integration Data Mining algorithms Content Based Retrieval September 11, 2012 Databases and Data Mining 2 DBDM Databases (Chapters 1-7): The Evolution of Database Technology Data Preprocessing Data Warehouse (OLAP) & Data Cubes Data Cubes Computation Grand Challenges and State of the Art September 11, 2012 Databases and Data Mining 3 DBDM Data Mining (Chapters 8-11): Introduction and Overview of Data Mining Data Mining Basic Algorithms Mining data streams Mining Sequence Patterns Graph Mining September 11, 2012 Databases and Data Mining 4 DBDM Further Topics Mining object, spatial, multimedia, text and Web data Mining complex data objects Spatial and spatiotemporal data mining Multimedia data mining Text mining Web mining Applications and trends of data mining Mining business & biological data Visual data mining Data mining and society: Privacy-preserving data mining September 11, 2012 Databases and Data Mining 5 [R] Evolution of Database Technology September 11, 2012 Databases and Data Mining 6 Evolution of Database Technology 1960s: (Electronic) Data collection, database creation, IMS -
Techjournal New York Oracle Users Group
TechJournal New York Oracle Users Group Fourth Quarter 2009 25th Anniversary/NYC Metro Area Meeting Tuesday, December 8, 2009 The New Yorker Hotel 481 Eighth Ave. (at 34th Street) Sponsored by: Oracle Corporation, Sun Microsystems, Confio Software, Corporate Technologies, Fadel Partners, Oracle GoldenGate, IBM Systems, Texas Memory Systems, Rolta TUSC, and XDuce/LearnDBA Free for Paid 2009 Members Don’t Miss It! In This Issue – Presentation Papers from the December 2008, and March, June, and September 2009 General Meetings How Innovations in Storage Change Your Oracle Playing Field, by Ari Kaplan ADF On-Ramp: What You Need to Know to Use the ADF Fusion Technology Stack, by Peter Koletzke Tuning the Oracle Grid, by Rich Niemiec www.nyoug.org 212.978.8890 Sometimes the problem is obvious. Usually, it’s harder to pinpoint. Amazing what you can accomplish once you have the information you need. When the source of a database-driven application slowdown isn’t immediately obvious, try a tool that can get you up to speed. One that pinpoints database bottlenecks and calculates application wait time at each step. Confio lets you unravel slowdowns at the database level with no installed agents. And solving problems where they exist costs a tenth of working around it by adding new server CPU’s. Now that’s a vision that can take you places. A smarter solution makes everyone look brilliant. Download your FREE trial of Confio Ignite™ at www.confio.com/obvious Download our FREE whitepaper by visiting www.oraclewhitepapers.com/listc/confio NYOUG Officers -
CMU 15-445/645 Database Systems (Fall 2018 :: Query Optimization
Query Optimization Lecture #13 Database Systems Andy Pavlo 15-445/15-645 Computer Science Fall 2018 AP Carnegie Mellon Univ. 2 ADMINISTRIVIA Mid-term Exam is on Wednesday October 17th → See mid-term exam guide for more info. Project #2 – Checkpoint #2 is due Friday October 19th @ 11:59pm. CMU 15-445/645 (Fall 2018) 4 QUERY OPTIMIZATION Remember that SQL is declarative. → User tells the DBMS what answer they want, not how to get the answer. There can be a big difference in performance based on plan is used: → See last week: 1.3 hours vs. 0.45 seconds CMU 15-445/645 (Fall 2018) 5 IBM SYSTEM R First implementation of a query optimizer. People argued that the DBMS could never choose a query plan better than what a human could write. A lot of the concepts from System R’s optimizer are still used today. CMU 15-445/645 (Fall 2018) 6 QUERY OPTIMIZATION Heuristics / Rules → Rewrite the query to remove stupid / inefficient things. → Does not require a cost model. Cost-based Search → Use a cost model to evaluate multiple equivalent plans and pick the one with the lowest cost. CMU 15-445/645 (Fall 2018) 7 QUERY PLANNING OVERVIEW System Catalog Cost SQL Query Model Abstract Syntax Annotated Annotated Tree AST AST Parser Binder Rewriter Optimizer (Optional) Name→Internal ID Query Plan CMU 15-445/645 (Fall 2018) 8 TODAY'S AGENDA Relational Algebra Equivalences Plan Cost Estimation Plan Enumeration Nested Sub-queries Mid-Term Review CMU 15-445/645 (Fall 2018) 9 RELATIONAL ALGEBRA EQUIVALENCES Two relational algebra expressions are equivalent if they generate the same set of tuples. -
Evolution of Database Technology 1960S: (Electronic) Data Collection, Database Creation, IMS (Hierarchical Database System by IBM) and Network DBMS
Database Technology Erwin M. Bakker & Stefan Manegold https://homepages.cwi.nl/~manegold/DBDM/ http://liacs.leidenuniv.nl/~bakkerem2/dbdm/ [email protected] [email protected] 9/21/18 Databases and Data Mining 1 Evolution of Database Technology 1960s: (Electronic) Data collection, database creation, IMS (hierarchical database system by IBM) and network DBMS 1970s: Relational data model, relational DBMS implementation 1980s: RDBMS, advanced data models (extended-relational, OO, deductive, etc.) Application-oriented DBMS (spatial, scientific, engineering, etc.) 9/21/18 Databases and Data Mining 2 Evolution of Database Technology 1990s: Data mining, data warehousing, multimedia databases, and Web databases 2000 - Stream data management and mining Data mining and its applications Web technology Data integration, XML Social Networks (Facebook, etc.) Cloud Computing global information systems Emerging in-house solutions In Memory Databases Big Data 9/21/18 Databases and Data Mining 3 1960’s Companies began automating their back-office bookkeeping in the 1960s COBOL and its record-oriented file model were the work-horses of this effort Typical work-cycle: 1. a batch of transactions was applied to the old-tape-master 2. a new-tape-master produced 3. printout for the next business day. COmmon Business-Oriented Language (COBOL 2002 standard) 9/21/18 Databases and Data Mining 4 COBOL A quote by Prof. dr. E.W. Dijkstra (Turing Award 1972) 18 June 1975: “The use of COBOL cripples the mind; its teaching should, therefore, be regarded as a criminal offence.” September 2015: 9/21/18 Databases and Data Mining 5 COBOL Code (just an example!) 01 LOAN-WORK-AREA. -
IBM Cloudant: Database As a Service Fundamentals
Front cover IBM Cloudant: Database as a Service Fundamentals Understand the basics of NoSQL document data stores Access and work with the Cloudant API Work programmatically with Cloudant data Christopher Bienko Marina Greenstein Stephen E Holt Richard T Phillips ibm.com/redbooks Redpaper Contents Notices . 5 Trademarks . 6 Preface . 7 Authors. 7 Now you can become a published author, too! . 8 Comments welcome. 8 Stay connected to IBM Redbooks . 9 Chapter 1. Survey of the database landscape . 1 1.1 The fundamentals and evolution of relational databases . 2 1.1.1 The relational model . 2 1.1.2 The CAP Theorem . 4 1.2 The NoSQL paradigm . 5 1.2.1 ACID versus BASE systems . 7 1.2.2 What is NoSQL? . 8 1.2.3 NoSQL database landscape . 9 1.2.4 JSON and schema-less model . 11 Chapter 2. Build more, grow more, and sleep more with IBM Cloudant . 13 2.1 Business value . 15 2.2 Solution overview . 16 2.3 Solution architecture . 18 2.4 Usage scenarios . 20 2.5 Intuitively interact with data using Cloudant Dashboard . 21 2.5.1 Editing JSON documents using Cloudant Dashboard . 22 2.5.2 Configuring access permissions and replication jobs within Cloudant Dashboard. 24 2.6 A continuum of services working together on cloud . 25 2.6.1 Provisioning an analytics warehouse with IBM dashDB . 26 2.6.2 Data refinement services on-premises. 30 2.6.3 Data refinement services on the cloud. 30 2.6.4 Hybrid clouds: Data refinement across on/off–premises. 31 Chapter 3. -
15-445/645 Database Systems (Fall 2020) Carnegie Mellon University Prof
Lecture #02: Intermediate SQL 15-445/645 Database Systems (Fall 2020) https://15445.courses.cs.cmu.edu/fall2020/ Carnegie Mellon University Prof. Andy Pavlo 1 Relational Languages Edgar Codd published a major paper on relational models in the early 1970s. Originally, he only defined the mathematical notation for how a DBMS could execute queries on a relational model DBMS. The user only needs to specify the result that they want using a declarative language (i.e., SQL). The DBMS is responsible for determining the most efficient plan to produce that answer. Relational algebra is based on sets (unordered, no duplicates). SQL is based on bags (unordered, allows duplicates). 2 SQL History Declarative query lanaguage for relational databases. It was originally developed in the 1970s as part of the IBM System R project. IBM originally called it “SEQUEL” (Structured English Query Language). The name changed in the 1980s to just “SQL” (Structured Query Language). The language is comprised of different classes of commands: 1. Data Manipulation Language (DML): SELECT, INSERT, UPDATE, and DELETE statements. 2. Data Definition Language (DDL): Schema definitions for tables, indexes, views, and other objects. 3. Data Control Language (DCL): Security, access controls. SQL is not a dead language. It is being updated with new features every couple of years. SQL-92 is the minimum that a DBMS has to support to claim they support SQL. Each vendor follows the standard to a certain degree but there are many proprietary extensions. 3 Aggregates An aggregation function takes in a bag of tuples as its input and then produces a single scalar value as its output. -
Reflections of Generosity Annual Report of Private Giving
Reflections of Generosity Annual Report of Private Giving For the year ending June 30, 2018 Index Reflections of Generosity In Gratitude for Our Engaged Community ....................................... 6 Collective Visioning .......................................................................... 8 Financial Highlights Supporting Excellence ...................................................................... 12 Collective Generosity A Story Told Together ........................................................................ 16 The Gift of Time: CCS Summer Research Fellowships ...................... 18 Alumni Generosity Leaving Legacies and Living Legends ............................................... 22 Homegrown Support ......................................................................... 24 A Passion for Unconventional Science .............................................. 26 A Video Board to Spark Hoopla......................................................... 28 Faculty Generosity Dear Friends, An Evolving and Rewarding Partnership ........................................... 32 Enduring Influence ............................................................................ 34 As we reflect on philanthropic giving to UC Santa Barbara over the past year, we are overwhelmed and inspired by you — our steadfast supporters — whose vision continues to advance the excellence and diversity of our Friends Generosity great institution. We are tremendously thankful for your generosity and your appreciation for the crucial role of Making -
SHENZHEN REPORT ZJU - SFU Dual Degree Program IT Factory Survey
SHENZHEN REPORT ZJU - SFU Dual Degree Program IT Factory Survey July 22 , 2016 - July 27, 2016 Shenzhen, Guangdong Province China Contents Introduction to Shenzhen How does the old fishing town become one of the most renowed global major metropolis of finance and technology? p.4 Oracle Research & Development Center Co., Preface Ltd (Shenzhen Branch) Eighth floor, Gaoxin South 1st Road, Nanshan District, Shenzhen, Guangdong, China Before starting the IT Survey Report, we Shenzhen Visit TP-Link Technologies Co,. Ltd. p.6 Group of Computing Science Dual Degree Program of Zheji- 相册 Fifth South Building, Keyuan Road, ang University would like to thank Oracle Research & De- Nanshan District, Shenzhen, velopment Center Co.,Ltd. (Shenzhen Branch) and TP-LINK Guangdong, China Technologies Co., Ltd. for letting us come visit the respective companies. We are happy to have a chance to get in touch with many aspects from what we surveyed. Through our p.14 talks and oberservations with the staffs of the respective companies, we gained great knowledges about almost every Conclusion relevant things that surrounds the companies. It has been Summary of our survey Comparison between two companies a very resourceful seven journey in Shenzhen for us, and we ED What are some influences we receive through out are looking forward to visit back again and use what we have seven-day journey? What is our next step? learned from our researches to excel all of our best in the future co-ops we get to work on. p.20 A brief introduction to SHENZHEN The city is home to the Shenzhen Stock Starting from a High-Techonology The presences of big tech companies in Exchange as well as the headquarters of numer- Shenzhen indeed provides great opportunities to fishing port.. -
Enterprise Resource Planning Effects on Supply Chain Management Performance
ERP EFFECTS ON SUPPLY CHAIN MANAGEMENT PERFORMANCE Enterprise Resource Planning Effects on Supply Chain Management Performance Approved: _____________________________ Date: _________________ Paper/Project Advisor Enterprise Resource Planning Effects on Supply Chain Management Performance A Seminar Paper Presented to The Graduate Faculty University of Wisconsin-Platteville In Partial Fulfillment Of the Requirement for the Degree Master of Science in Integrated Supply Chain Management By Joshua Wadley 2014 2 Acknowledgments First and foremost, my advisor deserves acknowledgement. Mr. David Heimerdinger invests a tremendous amount of time and effort into every one of his students, and has been a wonderful advisor to me. His tireless effort and generosity to his students is truly astounding and I could not have asked for a more dedicated mentor. With Mr. Eric MacKay now taking on the reasonability of being the advisor for the Integrated Supply Chain Management program, I wish him all the best of luck but am sure he will be ok with a great teacher such as Mr. Heimerdinger. Additionally, Dr. Wendy Brooke deserves recognition. From the moment I took my first course with her in my first semester of my masters program, until now, nearing completion of my seminar research, she was always there if I needed assistance along the way. Although I have had to start and complete my degree via distance learning in the war torn country of Afghanistan, my family, teachers and company, have always supported me and my goals one hundred percent, and again I say thank you!! i Abstract This research investigates the impact of enterprise resource planning systems when integrated into supply chain management. -
Cherryroad Background
CherryRoad Background CherryRoad provides comprehensive systems implementations, integrations, upgrades, and consulting services that maximize ERP system performance for the public and commercial sectors. Founded in 1983, CherryRoad has earned a solid reputation for combining our technological, organizational, functional, and vertical market expertise into practical solutions that deliver results, specifically with Oracle’s applications. Our flexible approach and methodologies enable us to structure engagements that best meet our clients’ specific needs. We are particularly proud of our high customer retention rate. When asked why they keep returning, a common thread ran through all our clients’ responses – it all comes down to CherryRoad’s people. We only employ seasoned professionals who stay focused on our clients’ business issues and consistently perform to exceed their expectations. We do what it takes to get the job done – on-time and on-budget. Key Services Strategy assessments, enterprise application integration, software Enterprise Solutions implementations, upgrades, training, and production support for Oracle Enterprise Resource Planning (ERP) Cloud and On-Premise applications. Application hosting services for the entire technology stack including physical infrastructure, security network, communications infrastructure, hardware, Cloud Services operating systems, database, and disaster recovery in our world-class data centers. Application Support Oracle application on-site and remote functional and technical support services Services backed by 24x7 help desk support. Strategy/Visioning, Change Management, Software Selection, and Business Management Consulting Process Optimization services. Current and future state architecture definitions, future state roadmap Enterprise Architecture development, and overall information technology (IT) and IT strategy assessment services. Office Locations Headquartered in Morris Plains, NJ, CherryRoad has additional offices in Boca Raton, FL; Chicago, IL; Sacramento, CA; and Bangalore, India. -
Oracle Corporation
ORACLE CORPORATION The Oracle Corporation is an American global computer technology corporation, headquartered in Redwood City, California. The company primarily specializes in developing and marketing computer hardware systems and enterprise software products – particularly its own brands of database management systems. In 2011 Oracle was the second- largest software maker by revenue, after Microsoft.[3] The company also develops and builds tools for database development and systems of middle-tier software, enterprise resource planning (ERP) software, customer relationship management (CRM) software and supply chain management (SCM) software. Larry Ellison, a co-founder of Oracle, served as Oracle's CEO from founding. On September 18, 2014, it was announced that he would be stepping down (with Mark Hurd and Safra Catz to become CEOs). Ellison became executive chairman and CTO.[4] He also served as the Chairman of the Board until his replacement by Jeffrey O. Henley in 2004. On August 22, 2008, the Associated Press ranked Ellison as the top-paid chief executive in the world.[5] Larry Ellison , Ellison was born in New York City but grew up in Chicago. He studied at the University of Illinois at Urbana–Champaign and the University of Chicago without graduating before moving to California in 1966. While working at Ampex in the early 1970s, he became influenced by Edgar F. Codd's research on relational database design, which led in 1977 to the formation of what became Oracle. Oracle became a successful database vendor to mid- and low- Larry Ellison in October 2009. range systems, competing with Sybase and Microsoft SQL Server, Born August 17, 1944 (age 71) which led to Ellison being listed by Forbes Lower East Side, Manhattan, New York, U.S. -
Oracle Database Concepts, 11G Release 2 (11.2) E40540-04
Oracle®[1] Database Concepts 11g Release 2 (11.2) E40540-04 May 2015 Oracle Database Concepts, 11g Release 2 (11.2) E40540-04 Copyright © 1993, 2015, Oracle and/or its affiliates. All rights reserved. Primary Authors: Lance Ashdown, Tom Kyte Contributors: Drew Adams, David Austin, Vladimir Barriere, Hermann Baer, David Brower, Jonathan Creighton, Bjørn Engsig, Steve Fogel, Bill Habeck, Bill Hodak, Yong Hu, Pat Huey, Vikram Kapoor, Feroz Khan, Jonathan Klein, Sachin Kulkarni, Paul Lane, Adam Lee, Yunrui Li, Bryn Llewellyn, Rich Long, Barb Lundhild, Neil Macnaughton, Vineet Marwah, Mughees Minhas, Sheila Moore, Valarie Moore, Gopal Mulagund, Paul Needham, Gregory Pongracz, John Russell, Vivian Schupmann, Shrikanth Shankar, Cathy Shea, Susan Shepard, Jim Stenoish, Juan Tellez, Lawrence To, Randy Urbano, Badhri Varanasi, Simon Watt, Steve Wertheimer, Daniel Wong This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S.