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Beyond Relational Databases
EXPERT ANALYSIS BY MARCOS ALBE, SUPPORT ENGINEER, PERCONA Beyond Relational Databases: A Focus on Redis, MongoDB, and ClickHouse Many of us use and love relational databases… until we try and use them for purposes which aren’t their strong point. Queues, caches, catalogs, unstructured data, counters, and many other use cases, can be solved with relational databases, but are better served by alternative options. In this expert analysis, we examine the goals, pros and cons, and the good and bad use cases of the most popular alternatives on the market, and look into some modern open source implementations. Beyond Relational Databases Developers frequently choose the backend store for the applications they produce. Amidst dozens of options, buzzwords, industry preferences, and vendor offers, it’s not always easy to make the right choice… Even with a map! !# O# d# "# a# `# @R*7-# @94FA6)6 =F(*I-76#A4+)74/*2(:# ( JA$:+49>)# &-)6+16F-# (M#@E61>-#W6e6# &6EH#;)7-6<+# &6EH# J(7)(:X(78+# !"#$%&'( S-76I6)6#'4+)-:-7# A((E-N# ##@E61>-#;E678# ;)762(# .01.%2%+'.('.$%,3( @E61>-#;(F7# D((9F-#=F(*I## =(:c*-:)U@E61>-#W6e6# @F2+16F-# G*/(F-# @Q;# $%&## @R*7-## A6)6S(77-:)U@E61>-#@E-N# K4E-F4:-A%# A6)6E7(1# %49$:+49>)+# @E61>-#'*1-:-# @E61>-#;6<R6# L&H# A6)6#'68-# $%&#@:6F521+#M(7#@E61>-#;E678# .761F-#;)7-6<#LNEF(7-7# S-76I6)6#=F(*I# A6)6/7418+# @ !"#$%&'( ;H=JO# ;(\X67-#@D# M(7#J6I((E# .761F-#%49#A6)6#=F(*I# @ )*&+',"-.%/( S$%=.#;)7-6<%6+-# =F(*I-76# LF6+21+-671># ;G';)7-6<# LF6+21#[(*:I# @E61>-#;"# @E61>-#;)(7<# H618+E61-# *&'+,"#$%&'$#( .761F-#%49#A6)6#@EEF46:1-# -
Data Platforms Map from 451 Research
1 2 3 4 5 6 Azure AgilData Cloudera Distribu2on HDInsight Metascale of Apache Kaa MapR Streams MapR Hortonworks Towards Teradata Listener Doopex Apache Spark Strao enterprise search Apache Solr Google Cloud Confluent/Apache Kaa Al2scale Qubole AWS IBM Azure DataTorrent/Apache Apex PipelineDB Dataproc BigInsights Apache Lucene Apache Samza EMR Data Lake IBM Analy2cs for Apache Spark Oracle Stream Explorer Teradata Cloud Databricks A Towards SRCH2 So\ware AG for Hadoop Oracle Big Data Cloud A E-discovery TIBCO StreamBase Cloudera Elas2csearch SQLStream Data Elas2c Found Apache S4 Apache Storm Rackspace Non-relaonal Oracle Big Data Appliance ObjectRocket for IBM InfoSphere Streams xPlenty Apache Hadoop HP IDOL Elas2csearch Google Azure Stream Analy2cs Data Ar2sans Apache Flink Azure Cloud EsgnDB/ zone Platforms Oracle Dataflow Endeca Server Search AWS Apache Apache IBM Ac2an Treasure Avio Kinesis LeanXcale Trafodion Splice Machine MammothDB Drill Presto Big SQL Vortex Data SciDB HPCC AsterixDB IBM InfoSphere Towards LucidWorks Starcounter SQLite Apache Teradata Map Data Explorer Firebird Apache Apache JethroData Pivotal HD/ Apache Cazena CitusDB SIEM Big Data Tajo Hive Impala Apache HAWQ Kudu Aster Loggly Ac2an Ingres Sumo Cloudera SAP Sybase ASE IBM PureData January 2016 Logic Search for Analy2cs/dashDB Logentries SAP Sybase SQL Anywhere Key: B TIBCO Splunk Maana Rela%onal zone B LogLogic EnterpriseDB SQream General purpose Postgres-XL Microso\ Ry\ X15 So\ware Oracle IBM SAP SQL Server Oracle Teradata Specialist analy2c PostgreSQL Exadata -
Data Modeler User's Guide
Oracle® SQL Developer Data Modeler User's Guide Release 18.1 E94838-01 March 2018 Oracle SQL Developer Data Modeler User's Guide, Release 18.1 E94838-01 Copyright © 2008, 2018, Oracle and/or its affiliates. All rights reserved. Primary Author: Celin Cherian Contributing Authors: Chuck Murray Contributors: Philip Stoyanov 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. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency- specific supplemental regulations. As such, use, duplication, disclosure, modification, and adaptation of the programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, shall be subject to license terms and license restrictions applicable to the programs. -
Programming in HTML5 with Javascript and CSS3 Ebook
spine = 1.28” Programming in HTML5 with JavaScript and CSS3 and CSS3 JavaScript in HTML5 with Programming Designed to help enterprise administrators develop real-world, About You job-role-specific skills—this Training Guide focuses on deploying This Training Guide will be most useful and managing core infrastructure services in Windows Server 2012. to IT professionals who have at least Programming Build hands-on expertise through a series of lessons, exercises, three years of experience administering and suggested practices—and help maximize your performance previous versions of Windows Server in midsize to large environments. on the job. About the Author This Microsoft Training Guide: Mitch Tulloch is a widely recognized in HTML5 with • Provides in-depth, hands-on training you take at your own pace expert on Windows administration and has been awarded Microsoft® MVP • Focuses on job-role-specific expertise for deploying and status for his contributions supporting managing Windows Server 2012 core services those who deploy and use Microsoft • Creates a foundation of skills which, along with on-the-job platforms, products, and solutions. He experience, can be measured by Microsoft Certification exams is the author of Introducing Windows JavaScript and such as 70-410 Server 2012 and the upcoming Windows Server 2012 Virtualization Inside Out. Sharpen your skills. Increase your expertise. • Plan a migration to Windows Server 2012 About the Practices CSS3 • Deploy servers and domain controllers For most practices, we recommend using a Hyper-V virtualized • Administer Active Directory® and enable advanced features environment. Some practices will • Ensure DHCP availability and implement DNSSEC require physical servers. -
Package 'Databaseconnector'
Package ‘DatabaseConnector’ April 15, 2021 Type Package Title Connecting to Various Database Platforms Version 4.0.2 Date 2021-04-12 Description An R 'DataBase Interface' ('DBI') compatible interface to various database plat- forms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Im- pala', 'Google BigQuery', and 'SQLite'). Also includes support for fetching data as 'Andromeda' objects. Uses 'Java Database Connectivity' ('JDBC') to con- nect to databases (except SQLite). SystemRequirements Java version 8 or higher (https://www.java.com/) Depends R (>= 2.10) Imports rJava, SqlRender (>= 1.7.0), methods, stringr, rlang, utils, DBI (>= 1.0.0), urltools, bit64 Suggests aws.s3, R.utils, withr, testthat, DBItest, knitr, rmarkdown, RSQLite, ssh, Andromeda, dplyr License Apache License VignetteBuilder knitr URL https://ohdsi.github.io/DatabaseConnector/, https: //github.com/OHDSI/DatabaseConnector 1 2 R topics documented: BugReports https://github.com/OHDSI/DatabaseConnector/issues Copyright See file COPYRIGHTS RoxygenNote 7.1.1 Encoding UTF-8 R topics documented: connect . .3 createConnectionDetails . .6 createZipFile . .9 DatabaseConnectorDriver . 10 dbAppendTable,DatabaseConnectorConnection,character,data.frame-method . 10 dbClearResult,DatabaseConnectorResult-method . 11 dbColumnInfo,DatabaseConnectorResult-method . 12 dbConnect,DatabaseConnectorDriver-method . 13 dbCreateTable,DatabaseConnectorConnection,character,data.frame-method . 13 dbDisconnect,DatabaseConnectorConnection-method -
Lab 6: Testing Software Studio Datalab, CS, NTHU Notice
Lab 6: Testing Software Studio DataLab, CS, NTHU Notice • This lab is about software development good practices • Interesting for those who like software development and want to go deeper • Good to optimize your development time Outline • Introduction to Testing • Simple testing in JS • Testing with Karma • Configuring Karma • Karma demo: Simple test • Karma demo: Weather Mood • Karma demo: Timer App • Conclusions Outline • Introduction to Testing • Simple testing in JS • Testing with Karma • Configuring Karma • Karma demo: Simple test • Karma demo: Weather Mood • Karma demo: Timer App • Conclusions What is testing? Is it important? Actually, we are always doing some kind of testing.. And expecting some result.. And expecting some result.. Sometimes we just open our app and start clicking to see results Why test like a machine? We can write programs to automatically test our application! Most common type of test: Unit test Unit test • “Unit testing is a method by which individual units of source code are tested to determine if they are fit for use. A unit is the smallest testable part of an application.” - Wikipedia Good unit test properties • It should be automated and repeatable • It should be easy to implement • Once it’s written, it should remain for future use • Anyone should be able to run it • It should run at the push of a button • It should run quickly The art of Unit Testing, Roy Osherove Many frameworks for unit tests in several languages Common procedure • Assertion: A statement that a predicate is expected to always be true at that point in the code. -Wikipedia Common procedure • We write our application and want it to do something, so we write a test to see if it’s behaving as we expect Common procedure • Pseudocode: But how to do that in JS? Outline • Introduction to Testing • Simple testing in JS • Testing with Karma • Configuring Karma • Karma demo: Simple test • Karma demo: Weather Mood • Karma demo: Timer App • Conclusions Simple testing: expect library and jsbin Test passed: Test didn’t pass: This is ok for testing some simple functions. -
Open Source Used in SD-AVC 2.2.0
Open Source Used In SD-AVC 2.2.0 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-189242242 Open Source Used In SD-AVC 2.2.0 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-189242242 Contents 1.1 @angular/angular 5.1.0 1.1.1 Available under license 1.2 @angular/material 5.2.3 1.2.1 Available under license 1.3 angular 1.5.9 1.3.1 Available under license 1.4 angular animate 1.5.9 1.5 angular cookies 1.5.9 1.6 angular local storage 0.5.2 1.7 angular touch 1.5.9 1.8 angular ui router 0.3.2 1.9 angular ui-grid 4.0.4 1.10 angular-ui-bootstrap 2.3.2 1.10.1 Available under license 1.11 angular2-moment 1.7.0 1.11.1 Available under license 1.12 angularJs 1.5.9 1.13 bootbox.js 4.4.0 1.14 Bootstrap 3.3.7 1.14.1 Available under license 1.15 Bootstrap 4 4.0.0 1.15.1 Available under license 1.16 chart.js 2.7.2 1.16.1 Available under license 1.17 commons-io 2.5 1.17.1 Available under license Open Source Used In SD-AVC 2.2.0 2 1.18 commons-text 1.4 1.18.1 -
Amazon Aurora Mysql Database Administrator's Handbook
Amazon Aurora MySQL Database Administrator’s Handbook Connection Management March 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 DNS Endpoints .................................................................................................................... 2 Connection Handling in Aurora MySQL and MySQL ......................................................... 3 Common Misconceptions .................................................................................................... 5 Best Practices ...................................................................................................................... 6 Using Smart Drivers ........................................................................................................ -
Background Goal Unit Testing Regression Testing Automation
Streamlining a Workflow Jeffrey Falgout Daniel Wilkey [email protected] [email protected] Science, Discovery, and the Universe Bloomberg L.P. Computer Science and Mathematics Major Background Regression Testing Jenkins instance would begin running all Bloomberg L.P.'s main product is a Another useful tool to have in unit and regression tests. This Jenkins job desktop application which provides sufficiently complex systems is a suite would then report the results on the financial tools. Bloomberg L.P. of regression tests. Regression testing Phabricator review and signal the author employs many computer programmers allows you to test very high level in an appropriate way. The previous to maintain, update, and add new behavior which can detect low level workflow required manual intervention to features to this product. bugs. run tests. This new workflow only the The product the code base was developer to create his feature branch in implementing has a record/playback order for all tests to be run automatically. Goal feature. This was leveraged to create a Many of the tasks that a programmer regression testing framework. This has to perform as part of a team can be framework leveraged the unit testing automated. The goal of this project was framework wherever possible. to work with a team to automate tasks At various points during the playback, where possible and make them easier callback methods would be invoked. An example of the new workflow, where a Jenkins where impossible. These methods could have testing logic to instance will automatically run tests and update the make sure the application was in the peer review. -
Research Document
Research Document Student Name: James Heneghan Student ID: C00155861 Course ID: CW_KCSOF_B Project Name: Take Me There Supervisor: Joseph Kehoe Institute: Institute of Technology Carlow Date: 16/10/2014 1 Contents Introduction ............................................................................................................................................ 3 Galileo Board ........................................................................................................................................... 3 Details of the Architecture .................................................................................................................. 3 Communication ................................................................................................................................... 3 Accelerometer......................................................................................................................................... 4 Cloud Hosting .......................................................................................................................................... 4 Google Maps API ..................................................................................................................................... 4 Google Maps JavaScript API ................................................................................................................ 4 Google Static Maps API ...................................................................................................................... -
Javascript Unlocked Table of Contents
JavaScript Unlocked Table of Contents JavaScript Unlocked Credits About the Author About the Reviewer www.PacktPub.com Support files, eBooks, discount offers, and more Why subscribe? Free access for Packt account holders Preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. Diving into the JavaScript Core Make your code readable and expressive Function argument default value Conditional invocation Arrow functions Method definitions The rest operator The spread operator Mastering multiline strings in JavaScript Concatenation versus array join Template literal Multi-line strings via transpilers Manipulating arrays in the ES5 way Array methods in ES5 Array methods in ES6 Traversing an object in an elegant, reliable, safe, and fast way Iterating the key-value object safely and fast Enumerating an array-like object The collections of ES6 The most effective way of declaring objects Classical approach Approach with the private state Inheritance with the prototype chain Inheriting from prototype with Object.create Inheriting from prototype with Object.assign Approach with ExtendClass Classes in ES6 How to – magic methods in JavaScript Accessors in ES6 classes Controlling access to arbitrary properties Summary 2. Modular Programming with JavaScript How to get out of a mess using modular JavaScript Modules Cleaner global scope Packaging code into files Reuse Module patterns Augmentation Module standards How to use asynchronous modules in the browser Pros and cons How to – use synchronous modules on the server Pros and cons UMD JavaScript’s built-in module system Named exports Default export The module loader API Conclusion Transpiling CommonJS for in-browser use Bundling ES6 modules for synchronous loading Summary 3. -
Database Language SQL: Integrator of CALS Data Repositories
Database Language SQL: Integrator of CALS Data Repositories Leonard Gallagher Joan Sullivan U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Information Systems Engineering Division Computer Systems Laboratory Gaithersburg, MD 20899 NIST Database Language SQL Integrator of CALS Data Repositories Leonard Gallagher Joan Sullivan U.S. DEPARTMENT OF COMMERCE Technology Administration National Institute of Standards and Technology Information Systems Engineering Division Computer Systems Laboratory Gaithersburg, MD 20899 September 1992 U.S. DEPARTMENT OF COMMERCE Barbara Hackman Franklin, Secretary TECHNOLOGY ADMINISTRATION Robert M. White, Under Secretary for Technology NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY John W. Lyons, Director Database Language SQL: Integrator of CALS Data Repositories Leonard Gallagher Joan Sullivan National Institute of Standards and Technology Information Systems Engineering Division Gaithersburg, MD 20899, USA CALS Status Report on SQL and RDA - Abstract - The Computer-aided Acquisition and Logistic Support (CALS) program of the U.S. Department of Defense requires a logically integrated database of diverse data, (e.g., documents, graphics, alphanumeric records, complex objects, images, voice, video) stored in geographically separated data banks under the management and control of heterogeneous data management systems. An over-riding requirement is that these various data managers be able to communicate with each other and provide shared access to data and