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Search results “Oracle push predicates”
Part 2 Predicate Pushdown
 
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Oracle Big Data SQL - Learn about partition pruning, storage indexes and predicate push down. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Query Push Down to MySQL Database
 
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In this video lecture we will see how to push down the query to databases like mysql, oracle or teradata and get the results back from the databases. In this approach execution will be done at JDBC source which can be MySQL or Oracle or Teradata. Books I Follow: Apache Spark Books: Learning Spark: https://amzn.to/2pCcn8W High Performance Spark: https://amzn.to/2Goy9ac Advanced Analytics with Spark: https://amzn.to/2pD57Ke Apache Spark 2.0 Cookbook: https://amzn.to/2pEbAUp Mastering Apache Spark 2.0: https://amzn.to/2udDEUg Scala Programming: Programming in Scala: https://amzn.to/2uiTGfl Hadoop Books: Hadoop: The Definitive Guide: https://amzn.to/2pDheH4 Hive: Programming Hive: https://amzn.to/2Gqwz7o HBase: HBase The Definitive Guide: https://amzn.to/2Gj9rI2 Python Books: Learning Python: https://amzn.to/2pDqo6m
Views: 236 TalentOrigin
How to understand and use the query optimizer – Couchbase Connect 2016
 
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Every flight has a flight plan. Every query has a query plan. You must have seen its text form, called EXPLAIN PLAN. Query optimizer is responsible for creating this query plan for every query, and it tries to create an optimal plan for every query. In Couchbase, the query optimizer has to choose the most optimal index for the query, decide on the predicates to push down to index scans, create appropriate spans (scan ranges) for each index, understand the sort (ORDER BY) and pagination (OFFSET, LIMIT) requirements, and create the plan accordingly. When you think there is a better plan, you can hint the optimizer with USE INDEX. This talk will teach you how the optimizer selects the indices, index scan methods, and joins. It will teach you the analysis of the optimizer behavior using EXPLAIN plan and how to change the choices optimizer makes. Speaker: Keshav Murthy, Director, Query Development, Couchbase Slideshare: http://www.slideshare.net/Couchbase/how-to-understand-and-use-the-query-optimizer Visit our website for more information: https://www.couchbase.com/
Views: 448 Couchbase
IDUG Tech Talk: How We Code SQL - Does It Matter?
 
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Presented by Jacek Rafalak, ASSECO POLAND SA This presentation would be based on application developer experiences with coding efficient SQL. Introduction to basic concepts on how data can be accessed, what is Indexable , stage1, stage2, boolean term predicates. There will be examples of re-writing queries according to few rules of thumb so it execute more efficiently, What SQL to use, what trying to avoid, how you can influence access path with adding extra predicates, with special 'tricks', etc. This joined presentation with IBM, will also mention how DB2 can do query rewrite for you. With focus on V10 and V11 query re-write possibility: V10: How DB2 modifies IN predicates, simplification of join operations, removal of pre-evaluated predicates, predicates that DB2 generates and predicates generated through transitive closure V11 - How DB2 11 simplify YEAR(col), DATE(col), and SUBSTR(col,1,len) Simplify stage 2 BETWEEN predicate Improve indexability of CASE expression predicate Simplify always true or always false predicate Enhance correlated to non-correlated subquery transformation Predicate push-down enhancement Jacek Rafalak has 16 years' experience working with DB2 on the mainframe platform, database administration and software support. Since 2001 he has worked for DB2 for z/OS Center of Competency and Operation of Systems for Social Security (KSI) in Standard Environments Maintenance Team in Warsaw, Poland at Asseco Poland SA. He is responsibile for DB2 for z/OS Utilities and applications performance. IBM Certified Database Administrator DB2 z/OS. IBM Champion for Information Management. Poland DB2 Users Group leader.
scale.bythebay.io: Kuassi Mensah, Turning a Relational RDBMS Table into a Spark Datasource
 
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This session presents a Spark DataSource implementation for integrating (joining) Big Data in HDFS or NoSQL DBMS with Master Data in RDBMS table. The session describes how to allow parallel and direct access to RDBMS tables from Spark, generate partitions of Spark JDBCRDDs based on the split pattern and rewrites Spark SQL queries into the RDBMS SQL dialect. The session also describes the performance optimizations including hooks in the JDBC driver for faster type conversions, pushing down predicates to the RDBMS, pruning partition based on the where clause, and projecting columns to the RDBMS table to reduce the amount of data returned and processed on Spark. Kuassi Mensah Oracle Corporation Director, Product Management Kuassi Mensah is Director of Product Management at Oracle; his scope includes:(i) Java performance, scalability, HA, and Security with Oracle database.(ii) Hadoop and Spark integration with the Oracle database (iii) Java & JavaScript integration with the Oracle database (OJVM, Nashorn) Mr Mensah holds a MS in CS from the Programming Institute of University of Paris.He is is a frequent speaker at IT events (Oracle Open World, JavaOne, Sangam, OTNYathra, UKOUG, DOAG, OUGN, BGOUG, etc) & author. @kmensah, http://db360.blogspot.com/, https://www.linkedin.com/in/kmensah
Views: 139 FunctionalTV
Chat with Oracle's Real World Performance Team 20140516 May 16
 
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Andrew Holdsworth chats for 30 minutes about real-world performance challenges, and techniques that could help overcome them, and even eliminate them for good. Also, check out the new Real-World Performance Learning Library (http://www.oracle.com/goto/oll/rwp)! Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Turning Relational Database Tables into Spark Datasources
 
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https://developer.oracle.com/code/online | Kuassi Mensah: This session presents a Spark data source for joining big data with master data in an RDBMS. It describes how such an implementation: Allows parallel and direct access to the RDBMS database (with the option of controlling the number of concurrent connections). Introspects the RDBMS table, generates partitions of Spark JDBCRDDs based on the split pattern, and rewrites Spark SQL queries into the RDBMS SQL dialect. Uses hooks in the JDBC driver for faster type conversions. Pushes down predicates to the RDBMS, prunes partitions based on the where clause, and projects columns to the RDBMS to reduce the amount of data returned and processed on Spark. Writes back the result set to the RDBMS table for use by traditional BI tools
Views: 449 Oracle Developers
What Makes the Oracle Exadata DB Machine Special
 
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What Makes the DB Machine Special A Database Machine consists of two sets of Linux* machines. There's one set of Linux machines that we call compute nodes, and these have masses of CPU, masses of RAM, and they run your database instances. There's a second set of Linux machines that have a vast amount of disk space. These are your storage tier, and it's the Exadata software that links the compute nodes to the cell nodes, the cell nodes of the storage machines. Now, you cannot install the Exadata software independently. It comes pre-installed on your DB machine. I think, with earlier releases, it was possible to license Exadata software independently and install it on your own box, but certainly with the current release, you cannot get it unless you buy a DB machine. Well, what does Exadata deliver? It delivers certain capabilities that you cannot get in any other environments, and these are the abilities that we'll be studying in the next few slides. The Smart Scan, that's the one that gets all the publicity. It's the ability to offload a large amount of the SQL processing from the database tier from the compute nodes to the storage tier to the cell nodes. You have a storage tier that is aware of the database and can take over some of the workload of executing your SQL.
Views: 3762 SkillBuilders
Lecture 15: Coreference Resolution
 
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Lecture 15 covers what is coreference via a working example. Also includes research highlight "Summarizing Source Code", an introduction to coreference resolution and neural coreference resolution. ------------------------------------------------------------------------------- Natural Language Processing with Deep Learning Instructors: - Chris Manning - Richard Socher Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component. For additional learning opportunities please visit: http://stanfordonline.stanford.edu/
Lecture - 14 Query Processing and Optimization
 
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Lecture Series on Database Management System by Dr.S.Srinath, IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 106422 nptelhrd
Cloud ALM: Connecting the Development Team to the New Deployment Destination
 
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The deployment destination for enterprise Java is going through its biggest transformation since the creation of the application server. This session explores the marriage of Java PaaS and ALM and discusses how a new integration of these technologies is ready to transform the workflow of application development. It demonstrates how to connect an open-source-based ALM infrastructure to Oracle Cloud in order to get a seamless Hudson- and Git-based continuous delivery loop tailored to continuous delivery of hosted Java applications. The session concludes by showing how you can get started on deploying your existing Java projects to the Oracle Cloud with only a few clicks when using a cloud-connected and -hosted ALM stack. Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Versioning and Migrating with Core Data - Intermediate Core Data Tutorial - raywenderlich.com
 
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Relationships between data is critical to be successful in Core Data. In this video, you'll learn how to create them in Xcode. Watch the full series over here: https://videos.raywenderlich.com/courses/intermediate-core-data/lessons/1 ---- About www.raywenderlich.com: raywenderlich.com is a website focused on developing high quality programming tutorials. Our goal is to take the coolest and most challenging topics and make them easy for everyone to learn – so we can all make amazing apps. We are also focused on developing a strong community. Our goal is to help each other reach our dreams through friendship and cooperation. As you can see below, a bunch of us have joined forces to make this happen: authors, editors, subject matter experts, app reviewers, and most importantly our amazing readers! ---- About Core Data (from Wikipedia) Core Data is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It was introduced in Mac OS X 10.4 Tiger and iOS with iPhone SDK 3.0. It allows data organised by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. The data can be manipulated using higher level objects representing entities and their relationships. Core Data manages the serialised version, providing object lifecycle and object graph management, including persistence. Core Data interfaces directly with SQLite, insulating the developer from the underlying SQL. Just as Cocoa Bindings handle many of the duties of the controller in a model–view–controller design, Core Data handles many of the duties of the data model. Among other tasks, it handles change management, serializing to disk, memory footprint minimization and queries against the data. Core Data owes much of its design to an early NeXT product, Enterprise Objects Framework (EOF). EOF was specifically aimed at object-relational mapping for high-end SQL database engines such as Microsoft SQL Server and Oracle. EOF's purpose was twofold: first, to connect to the database engine and hide the implementation details; second, to read the data out of the simple relational format and translate that into a set of objects. Developers typically interacted with the objects only, which dramatically simplifies development of complex programs, at the cost of some "setup". The EOF object model was deliberately designed to make the resulting programs "document like", in that the user could edit the data locally in memory, and then write out all changes with a single Save command. Throughout its history, EOF "contained" a number of bits of extremely useful code that were not otherwise available under NeXTSTEP/OpenStep. For instance, EOF required the ability to track which objects were "dirty" so the system could later write them out. This was presented to the developer not only as a document-like system, but also in the form of an unlimited "Undo" command stack. Many developers complained that this state management code was far too useful to be isolated in EOF, and it was later moved into the Cocoa API during the transition to Mac OS X. Oddly, what was not translated was EOF itself. EOF was used primarily along with another OpenStep-era product, WebObjects, which was an application server originally based on Objective-C. At the time, Apple was in the process of porting WebObjects to the Java programming language, and as part of this conversion, EOF became much more difficult to use from Cocoa. Enough developers complained about this that Apple apparently decided to do something about it. One critical realization is that the object state management system in EOF did not really have anything to do with relational databases. The same code could be, and was, used by developers to manage graphs of other objects as well. In this role, the really useful parts of EOF were those that automatically built the object sets from the raw data, and then tracked them. It is this concept, and perhaps code, that forms the basis of Core Data. About Swift (from Wikipedia) Swift is a general-purpose, multi-paradigm, compiled programming language developed by Apple Inc. for iOS, macOS, watchOS, tvOS, and Linux. Swift is designed to work with Apple's Cocoa and Cocoa Touch frameworks and the large body of extant Objective-C (ObjC) code written for Apple products. Swift is intended to be more resilient to erroneous code ("safer") than Objective-C, and more concise. It is built with the LLVM compiler framework included in Xcode 6 and later and, on platforms other than Linux, uses the Objective-C runtime library, which allows C, Objective-C, C++ and Swift code to run within one program. Swift supports the core concepts that made Objective-C flexible, notably dynamic dispatch, widespread late binding, extensible programming and similar features. These features also have well-known performance and safety trade-offs, which Swift was designed to address.
Views: 3149 raywenderlich.com
Neo4j Online Meetup #37 :GQL: It’s Time for a Single Property Graph Query Language
 
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The time has come to create a single, unified property graph query language. Different languages for different products help no one. We’ve heard from the graph community that a common query language would be powerful: more developers with transferable expertise; portable queries; solutions that leverage multiple graph options; and less vendor lock-in. One language, one skill set. In this session Amy Hodler and Alastair Green will explain the GQL proposal and run a Q&A session. https://gql.today/#vote
Views: 584 Neo4j
Jean-Pierre Dijcks, Oracle - On the Ground - #theCUBE
 
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Jean-Pierre Dijcks, Master Product Manager at Oracle, sits down with host Peter Burris at Oracle’s Redwood Shores Headquarters for a special On the Ground segment. @theCUBE
Querying the PowerCenter Repository
 
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This video demonstrates Metaquery 3.0 along with running some sample queries to retrieve data from PowerCenter repository.
Views: 6464 Informatica Support
E-cig FDA Deeming Regulations with Dimitris Agrafiotis and Tony Abboud
 
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FDA Deeming Regs DeMISTified webinar with @VapinGreek and VTA's Tony Abboud. http://www.whitecloudelectroniccigarettes.com 0:15 Introductions 1:30 Aaron Biebert A Billion Lives Webinar June 6th 2:50 Background on the Vapor Technology Association (VTA) 4:45 Vape and the FDA Conference in Washington DC 7:15 Illinois Age Restriction on Smoking 8:22 Difference Between Cole/Bishop Amendment and HR2058 11:00 VTA Strategy to Support Cole/Bishop Amendment 15:15 Is the Cole/Bishop Amendment Permanent? 16:30 What to do After Cole/Bishop 17:30 Requirements under Cole/Bishop 19:35 What's Next for VTA? 20:30 Introduction to Dimitris Agrafiotis @VapinGreek 20:50 SEVIA USA 23:10 Chinese Interest in Vaping Market 25:00 Plans for SEVIA to Operate in UK 26:40 Starting a State-Level Advocacy Group 28:30 New Jersey Flavor Ban 30:00 Recent Victories in Vaping Industry 31:45 Advocacy Advice for Consumers Getting Started 33:30 Moving Forward Thoughts Q&A 34:40 Is there any chance vapor and tobacco could be regulated separately? 39:20 Are there any states that have tried to enforce that vape stores carry a tobacco retailer's permit? 42:30 If Congressman Cole thought HR2058 was "dead" wouldn't he withdraw the bill? 47:40 Is there a strategy for an injunction against the FDA? 52:00 Comments on Senator Johnson and his letter to the FDA 54:54 Final Thoughts Check out previous webinars Dr. Michael Siegel - http://bit.ly/1TCYlir Cynthia Cabrera - http://bit.ly/25kyBtm
How to read an excel file using SequeLink driver in Power Center
 
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This video describes how to: - Defined DSN using 32-bit ODBC administrator. Add DSN & DataSourceSOCODBCConnStr attribute in Sequelink using Sequelink console. - Define the same DSN in odbc.ini on Informatica server
Views: 1838 Informatica Support
Java 8 Interview Questions & OCJP certification - part I
 
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Java 8 questions which will push you hard to findout the answers & which would ultimately lead you to become master in Java 8 skill. Answers to the questions are missing right now, reason for it is when you get the whole stuff at once then you don't learn about the birth of the new concepts, so it's my request to try finding the answer yourself, I'll also post answers to these questions very soon. Until then "Keep Learning & Keep Sharing".
Views: 416 Neeraj Sachdeva
Rebuilding the Getty Provenance Index as Linked Data
 
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Rebuilding the Getty Provenance Index as Linked Data Joshua Gomez Getty Research Institute Emily Pugh Getty Research Institute For more information see https://wp.me/p1LncT-6kw CNI Spring 2016 Membership Meeting April 4-5, 2016 San Antonio, TX https://www.cni.org/
Snow Tha Product - “Nights" (feat. W. Darling)
 
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Snow Tha Product - “Nights" (feat. W. Darling) Download: http://smarturl.it/DownloadNights Stream: http://smarturl.it/StreamNights Connect with Snow https://twitter.com/SnowThaProduct https://www.facebook.com/SnowThaProduct https://www.instagram.com/snowthaproduct https://soundcloud.com/snowthaproduct http://www.snowthaproduct.com/
Views: 6898283 SNOWTHAPRODUCT
Reynold Xin | Spark Summit 2017
 
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Reynold Xin, Databricks, at #Spark Summit on #theCUBE
Caller Disagrees On Voter ID
 
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Thom talks with a caller who says a state id should be required of every voter. If you liked this clip of The Thom Hartmann Program, please do us a big favor and share it with your friends... and hit that "like" button! http://www.thomhartmann.com Follow Us on Twitter: http://www.twitter.com/thom_hartmann Subscribe to The Thom Hartmann Program for more: http://www.youtube.com/subscription_center?add_user=thomhartmann
Cypher Everywhere: Neo4j, Hadoop/Spark and the Unexpected — A. Green, M. Rydberg, D. Solovyov, Neo4j
 
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Cypher started in Neo4j. It's now used by SAP HANA Graph, Redis Graph and Agens Graph over PostgreSQL, among others. The Neo4j Graph Platform will include Cypher for Apache Spark, with Hadoop and other integrations, allowing the data lake to be projected into graphs. Speakers: Alastair Green, Mats Rydberg, Dimitry Solovyov Location: GraphConnect NYC 2017
Views: 318 Neo4j
Michael Stonebraker, 2014 ACM Turing Award Recipient
 
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Discusses his life, research, and business experience in the relational database management field. Topics cover his early life and education, development of INGRES and founding of the Ingres Corporation and later he extended the use of the relational structure into areas other than business data. For more information: http://amturing.acm.org/award_winners/stonebraker_1172121.cfm
Azure Red Shirt Dev Tour NYC 2017 | Part 2
 
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Join Scott Guthrie and some members of the Cloud Developer Advocate team in a tour of Azure services and tools. By the end of this viewing you'll have learned something new and be able to quickly get started trying something in Azure. Visit https://aka.ms/redshirtdemos for a list of all the things demonstrated in this event and to try them out yourself.
Views: 882 Microsoft Azure
Running open-source Databases on Google Cloud Platform (Google Cloud Next '17)
 
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Learn about the various options for running open-source databases on GCP, both self-managed and fully-managed. We will also do a deep dive with Quizlet about how to run MySQL effectively and efficiently on GCP. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl
#156: Enterprise Decision Making with Anthony Scriffignano, Chief Data Scientist, Dun & Bradstreet
 
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#156: Enterprise Decision Making with Anthony Scriffignano, Chief Data Scientist, Dun & Bradstreet How can we use data to make better business decisions? In this episode, we address this question with Anthony Scriffignano, the Chief Data Scientist at Dun & Bradstreet. Anthony Scriffignano has over 35 years experience in information technologies, Big-4 management consulting, and international business. Sciffignano leverages deep data expertise and global relationships to position Dun & Bradstreet with strategic customers, partners, and governments. A key thought leader in D&B’s worldwide efforts to discover, curate, and synthesize business information in multiple languages, geographies, and contexts, he has also held leadership positions in D&B’s Technology and Operations organizations. Dr. Scriffignano has extensive background in linguistics and advanced computer algorithms, leveraging that background as primary inventor on multiple patents and patents pending for D&B. Scriffignano regularly presents at various business and academic venues in the U.S., Europe, Latin America, and Asia as a keynote speaker, guest instructor, and forum panelist. Topics have included emerging trends in data and information stewardship relating to the “Big Data” explosion of data available to organizations, multilingual challenges in business identity, and strategies for change leadership in organizational settings. Scriffignano also confers with key customers on emerging trends in global data science. He was profiled by InformationWeek in a special coverage series “Big Data. Big Decisions” and by BizCloud regarding big data problem formulation and data privacy. He was also published in the May, 2014 edition of CIO review (“The Future Belongs to the Informed”). Scriffignano has also held senior positions with other multinational organizations. This experience includes extremely large ERP implementations and worldwide organizational change and technology adaptation efforts. He has advised firms in financial services, manufacturing (chemicals and pharmaceuticals) and information technologies. He maintains CPIM certification from APICS, the internationally-recognized Association for Operations Management, in production and inventory management. For more information, see https://www.cxotalk.com/enterprise-decision-making-anthony-scriffignano-chief-data-scientist-dun-bradstreet ------------------ Check out all the CXOTALK episodes: https://cxotalk.com/episodes ------------------ Follow us on Twitter: https://twitter.com/cxotalk ------------------
Views: 2333 CXOTALK
DB2 for z/OS Best Practice: Application Best Practices Specific to DB2 for z/OS Data Sharing
 
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Running applications in a data sharing environment generally follows the same best practices as running any DB2 for z/OS application. Applications have a role to play in continuous availability. Only relatively minor changes are required to avoid locking hot spots. This presentation explores specific best practices of application design and database design in a data sharing environment. It drills into the topics of locking considerations, high-volume inserts, sequential keys, bind options, and batch processing. It also describes how to deploy applications in a data sharing environment with minimal down time.
Views: 1011 World of Db2
Cloud-Based Automated Software Reliability Services
 
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Google Tech Talk July 22, 2010 ABSTRACT Presented by Professor George Candea http://people.epfl.ch/george.candea This talk proposes cloud-based automated software reliability services (SRS), a step toward making testing and debugging of code as easy as using webmail. SRS is automatic, without human involvement from the service user's or provider's side; this is unlike today's "testing as a service" businesses, which employ humans to write tests. First, I will outline four of the SRS components we envision: a "home edition" on-demand testing service for consumers to verify the software they are about to install on their PC or mobile device; a "programmer's sidekick" enabling developers to thoroughly and promptly test their code with minimal upfront resource investment; a public "certification service," akin to Underwriters Labs, that independently assesses the reliability, safety, and security of software; and an "automated debugging" service that helps developers fix code based on bug reports from the field. Then I will present in detail execution synthesis, the technique that makes automated debugging (the latter SRS component) a reality. Given a program and a bug report, execution synthesis combines static analysis and symbolic execution to "synthesize" a thread schedule and various required program inputs that cause the reported bug to manifest. The synthesized execution can then be played back deterministically in a regular debugger, like gdb. We have found this determinism to be particularly useful in debugging concurrency bugs. Our technique requires no runtime tracing or program modifications, thus incurring no runtime overhead and being practical for use in production systems. We evaluate it on popular software (e.g., the SQLite database, ghttpd Web server, HawkNL network library, UNIX utilities) and find that, starting from mere bug reports, it can reproduce on its own several real concurrency and memory safety bugs in less than three minutes.
Views: 7353 GoogleTechTalks
Innovation Survival: Innovation in Science
 
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Google Tech Talk April 8, 2010 ABSTRACT Presented by W. David Schwaderer. Innovation is essential for all progress and competitive survival. It provides a democratic vehicle for individuals and upstarts to challenge and neutralize powerful incumbents. Yet, because change accompanies innovation, it is a double-edged sword. This presentation examines the historical reception transformative scientific breakthroughs initially received before widespread adoption. By example, it teaches principles that can help ensure change agents personally, and their organizations, are on the delivering side of innovation's sharp edge. W. David Schwaderer has a Masters Degree in Applied Mathematics from the California Institute of Technology and an MBA from the University of Southern California. He has worked at IBM, EDS, Adaptec, Symantec, and Silicon Valley startups. He has authored six commercial software programs for a variety of machine architectures using several different languages, dozens of articles, and ten technical books that explain complex technology in approachable ways. David's soon-to-be-published 11th book follows over 10 years of research and is titled "Innovation Survival - Concept, Courage, Chance, and Change".
Views: 24531 GoogleTechTalks
08/28/18 MNPS Board Meeting
 
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Coverage of the Metro Nashville Board of Public Education meeting held August 28, 2018
Views: 227 MetroNashville
The Great Gildersleeve: Leila Returns / The Waterworks Breaks Down / Halloween Party
 
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The Great Gildersleeve (1941--1957), initially written by Leonard Lewis Levinson, was one of broadcast history's earliest spin-off programs. Built around Throckmorton Philharmonic Gildersleeve, a character who had been a staple on the classic radio situation comedy Fibber McGee and Molly, first introduced on Oct. 3, 1939, ep. #216. The Great Gildersleeve enjoyed its greatest success in the 1940s. Actor Harold Peary played the character during its transition from the parent show into the spin-off and later in a quartet of feature films released at the height of the show's popularity. On Fibber McGee and Molly, Peary's Gildersleeve was a pompous windbag who became a consistent McGee nemesis. "You're a haa-aa-aa-aard man, McGee!" became a Gildersleeve catchphrase. The character was given several conflicting first names on Fibber McGee and Molly, and on one episode his middle name was revealed as Philharmonic. Gildy admits as much at the end of "Gildersleeve's Diary" on the Fibber McGee and Molly series (Oct. 22, 1940). He soon became so popular that Kraft Foods—looking primarily to promote its Parkay margarine spread — sponsored a new series with Peary's Gildersleeve as the central, slightly softened and slightly befuddled focus of a lively new family. Premiering on August 31, 1941, The Great Gildersleeve moved the title character from the McGees' Wistful Vista to Summerfield, where Gildersleeve now oversaw his late brother-in-law's estate and took on the rearing of his orphaned niece and nephew, Marjorie (originally played by Lurene Tuttle and followed by Louise Erickson and Mary Lee Robb) and Leroy Forester (Walter Tetley). The household also included a cook named Birdie. Curiously, while Gildersleeve had occasionally spoken of his (never-present) wife in some Fibber episodes, in his own series the character was a confirmed bachelor. In a striking forerunner to such later television hits as Bachelor Father and Family Affair, both of which are centered on well-to-do uncles taking in their deceased siblings' children, Gildersleeve was a bachelor raising two children while, at first, administering a girdle manufacturing company ("If you want a better corset, of course, it's a Gildersleeve") and then for the bulk of the show's run, serving as Summerfield's water commissioner, between time with the ladies and nights with the boys. The Great Gildersleeve may have been the first broadcast show to be centered on a single parent balancing child-rearing, work, and a social life, done with taste and genuine wit, often at the expense of Gildersleeve's now slightly understated pomposity. Many of the original episodes were co-written by John Whedon, father of Tom Whedon (who wrote The Golden Girls), and grandfather of Deadwood scripter Zack Whedon and Joss Whedon (creator of Buffy the Vampire Slayer, Firefly and Dr. Horrible's Sing-Along Blog). The key to the show was Peary, whose booming voice and facility with moans, groans, laughs, shudders and inflection was as close to body language and facial suggestion as a voice could get. Peary was so effective, and Gildersleeve became so familiar a character, that he was referenced and satirized periodically in other comedies and in a few cartoons. http://en.wikipedia.org/wiki/Great_Gildersleeve
Views: 130138 Remember This
Brunch with Bernie - June 29, 2012
 
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US Senator Bernie Sanders (I-VT) joins Thom Hartmann for their weekly town hall meeting. If you liked this clip of The Thom Hartmann Program, please do us a big favor and share it with your friends... and hit that "like" button! http://www.thomhartmann.com Follow Us on Twitter: http://www.twitter.com/thom_hartmann Subscribe to The Thom Hartmann Program for more: http://www.youtube.com/subscription_center?add_user=thomhartmann
CJA 01.03: Panel 2 - Santa Fe
 
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Panel 2 - Views from Federal Public Defenders Ad Hoc Committee to Review the Criminal Justice Act New Mexico State Capitol Building, Room 311 490 Old Santa Fe Trail, Santa Fe, NM 87501 Panel Participants: Maureen Franco (FPD, W.D. Tex.) Virginia Grady (FPD, D. Colo. & Wyo.) Jason Hawkins (FPD, N.D. Tex.) Stephen McCue (FPD, D.N.M.)
Views: 57 LawResourceOrg
Web Programming - Computer Science for Business Leaders 2016
 
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noSQL, SQL; APIs; JavaScript
Views: 35205 CS50
Blessed Hope part 2 Crossway Church Texarkana Texas Pastor Michael Mauldin
 
01:09:21
Blessed Hope part 2 Crossway Church Texarkana Texas Pastor Michael Mauldin
Views: 85 John Cook
Jean Grey Chapter 6: Bad Tuesday: Part 1: Naughty Robin
 
07:37
Part 1 of Chapter 6 of Jean Grey. The Cast: Robin as Michael Jean Grey as Mary Poppins Supergirl as Ellen Batgirl as Mrs. Brill Arella as Mrs. Banks Flash as Robinson Eye Krypto as Andrew Emma Frost as Miss Lark Raven as Jane Little Raven as Barbara Disclaimer: The pictures belong to TitansGo.net, Worlds Finest Online, and Marvel Toonzone.net. The audio belongs to Listening Library, and the story belongs to PL Travers. I don't own this or profit from this, so please don't take it down.
Views: 1067 DogoHalibar
Week 8, continued
 
55:24
Views: 29626 CS50
যিকির করার গুরুত্ব এবং সর্ব উত্তম যিকির কোনটি ?শাইখ ইমাম হোসেন
 
01:35:50
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Views: 1283 Noorul Alanoor
The Great Gildersleeve: Gildy's Radio Broadcast / Gildy's New Secretary / Anniversary Dinner
 
01:29:30
Premiering on August 31, 1941, The Great Gildersleeve moved the title character from the McGees' Wistful Vista to Summerfield, where Gildersleeve now oversaw his late brother-in-law's estate and took on the rearing of his orphaned niece and nephew, Marjorie (originally played by Lurene Tuttle and followed by Louise Erickson and Mary Lee Robb) and Leroy Forester (Walter Tetley). The household also included a cook named Birdie. Curiously, while Gildersleeve had occasionally spoken of his (never-present) wife in some Fibber episodes, in his own series the character was a confirmed bachelor. In a striking forerunner to such later television hits as Bachelor Father and Family Affair, both of which are centered on well-to-do uncles taking in their deceased siblings' children, Gildersleeve was a bachelor raising two children while, at first, administering a girdle manufacturing company ("If you want a better corset, of course, it's a Gildersleeve") and then for the bulk of the show's run, serving as Summerfield's water commissioner, between time with the ladies and nights with the boys. The Great Gildersleeve may have been the first broadcast show to be centered on a single parent balancing child-rearing, work, and a social life, done with taste and genuine wit, often at the expense of Gildersleeve's now slightly understated pomposity. Many of the original episodes were co-written by John Whedon, father of Tom Whedon (who wrote The Golden Girls), and grandfather of Deadwood scripter Zack Whedon and Joss Whedon (creator of Buffy the Vampire Slayer, Firefly and Dr. Horrible's Sing-Along Blog). The key to the show was Peary, whose booming voice and facility with moans, groans, laughs, shudders and inflection was as close to body language and facial suggestion as a voice could get. Peary was so effective, and Gildersleeve became so familiar a character, that he was referenced and satirized periodically in other comedies and in a few cartoons. http://en.wikipedia.org/wiki/The_Great_Gildersleeve
Views: 96068 Remember This