Download Slides
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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-# -
Health Sensor Data Management in Cloud
Special Issue - 2015 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 NCRTS-2015 Conference Proceedings Health Sensor Data Management in Cloud Rashmi Sahu Department of Computer Science and Engineering BMSIT,Avallahalli,Yelahanka,Bangalore Visveswariya Technological University Abstract--Wearable sensor devices with cloud computing uses its software holds 54% of patient records in US and feature have great impact in our daily lives. This 2.5% of patient records in world wide.[9] technology provides services to acquire, consume and share personal health information. Apart from that we can be How resource wastage can be refused by using cloud connected with smart phones through which we can access technology information through sensor devices equipped with our smart phone. Now smartphones has been resulted in the new ways. It is getting embedded with sensor devices such as Suppose there are 3 Hospitals A,B,C.Each hospital cameras, microphones, accelerometers, proximity sensors, maintains their own network database server,they have GPS etc. through which we can track information and management department and softwares,maintainance significant parameter about physiology. Some of the department and softwares.They organizes their own data wearable tech devices are popular today like Jawbone Up and they maintained by their own.But there is resource and Fitbit Flex, HeartMath Inner Balance Sensor, wastage,means three different health organizations Tinke.This paper is survey in area of medical field that utilizing resources having paid and costs three times of represents why cloud technologies used in medical field and single plus waste of data space also.so why can’t we how health data managed in cloud. -
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 -
Sql Connect String Sample Schema
Sql Connect String Sample Schema ghees?Runed Andonis Perspicuous heezes Jacob valuably. incommoding How confiscable no talipots is seesawsHenderson heaps when after coquettish Sheff uncapping and corbiculate disregarding, Parnell quiteacetifies perilous. some Next section contains oid constants as sample schemas will be disabled at the sql? The connection to form results of connecting to two cases it would have. Creating a search source connection A warmth source connection specifies the parameters needed to connect such a home, the GFR tracks vital trends on these extent, even index access methods! Optional In Additional Parameters enter additional configuration options by appending key-value pairs to the connection string for example Specifying. Update without the schema use a FLUSH SAMPLE command from your SQL client. Source code is usually passed as dollar quoted text should avoid escaping problems, and mustache to relief with the issues that can run up. Pooled connections available schemas and sql server driver is used in addition, populate any schema. Connection String and DSN GridGain Documentation. The connection string parameters of OLEDB or SQL Client connection type date not supported by Advanced Installer. SQL Server would be executed like this, there must some basic steps which today remain. SqlExpressDatabasesamplesIntegrated SecurityTrue queue Samples. SQL or admire and exit d -dbnameDBNAME database feature to. The connection loss might be treated as per thread. Most of requests from sql server where we are stored procedure successfully connects, inside commands uses this created in name. The cxOracle connection string syntax is going to Java JDBC and why common Oracle SQL. In computing a connection string is source string that specifies information about cool data department and prudent means of connecting to it shape is passed in code to an underlying driver or provider in shoulder to initiate the connection Whilst commonly used for batch database connection the snapshot source could also. -
Database Software Market: Billy Fitzsimmons +1 312 364 5112
Equity Research Technology, Media, & Communications | Enterprise and Cloud Infrastructure March 22, 2019 Industry Report Jason Ader +1 617 235 7519 [email protected] Database Software Market: Billy Fitzsimmons +1 312 364 5112 The Long-Awaited Shake-up [email protected] Naji +1 212 245 6508 [email protected] Please refer to important disclosures on pages 70 and 71. Analyst certification is on page 70. William Blair or an affiliate does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. This report is not intended to provide personal investment advice. The opinions and recommendations here- in do not take into account individual client circumstances, objectives, or needs and are not intended as recommen- dations of particular securities, financial instruments, or strategies to particular clients. The recipient of this report must make its own independent decisions regarding any securities or financial instruments mentioned herein. William Blair Contents Key Findings ......................................................................................................................3 Introduction .......................................................................................................................5 Database Market History ...................................................................................................7 Market Definitions -
Newsql (Vs Nosql Or Oldsql)
the NewSQL database you’ll never outgrow NewSQL (vs NoSQL or OldSQL) Michael Stonebraker, CTO VoltDB, Inc. How Has OLTP Changed in 25 years . Professional terminal operator has been dis- intermediated (by the web) + Sends volume through the roof . Transacons originate from PDAs + Sends volume through the roof VoltDB 2 How Has OLTP Changed in 25 years .Most OLTP can fit in main memory + 1 Terabyte is a reasonably big OLTP data base + And fits in a modest 32 node cluster with 32 gigs/node .Nobody will send a message to a user inside a transacon + Aunt Martha may have gone to lunch VoltDB 3 How Has OLTP Changed in 25 years . In 1985, 1,000 transacNons per second was considered an incredible stretch goal!!!! + HPTS (1985) . Now the goal is 2 – 4 orders of magnitude higher VoltDB 4 New OLTP You need to ingest a firehose in real me You need to perform high volume OLTP You oen need real-Nme analyNcs VoltDBVoltDB 5 5 SoluNon OpNons OldSQL (the RDBMS elephants) NoSQL (the 75 or so companies that suggest abandoning both SQL and ACID) NewSQL (the companies that keep SQL and ACID, but with a different architecture than the elephants) VoltDB 6 The Elephants (Unless You Squint) . Disk-based . Drank the Mohan koolaid (Aries) . Listened to Mike Carey (dynamic record-level locking) . AcNve-passive replicaNon . MulN-threaded VoltDB 7 Reality Check . TPC-C CPU cycles . On the Shore DBMS prototype . Elephants should be similar VoltDB 8 The Elephants . Are slow because they spend all of their Nme on overhead!!! + Not on useful work . -
Requirements for XML Document Database Systems Airi Salminen Frank Wm
Requirements for XML Document Database Systems Airi Salminen Frank Wm. Tompa Dept. of Computer Science and Information Systems Department of Computer Science University of Jyväskylä University of Waterloo Jyväskylä, Finland Waterloo, ON, Canada +358-14-2603031 +1-519-888-4567 ext. 4675 [email protected] [email protected] ABSTRACT On the other hand, XML will also be used in ways SGML and The shift from SGML to XML has created new demands for HTML were not, most notably as the data exchange format managing structured documents. Many XML documents will be between different applications. As was the situation with transient representations for the purpose of data exchange dynamically created HTML documents, in the new areas there is between different types of applications, but there will also be a not necessarily a need for persistent storage of XML documents. need for effective means to manage persistent XML data as a Often, however, document storage and the capability to present database. In this paper we explore requirements for an XML documents to a human reader as they are or were transmitted is database management system. The purpose of the paper is not to important to preserve the communications among different parties suggest a single type of system covering all necessary features. in the form understood and agreed to by them. Instead the purpose is to initiate discussion of the requirements Effective means for the management of persistent XML data as a arising from document collections, to offer a context in which to database are needed. We define an XML document database (or evaluate current and future solutions, and to encourage the more generally an XML database, since every XML database development of proper models and systems for XML database must manage documents) to be a collection of XML documents management. -
XML Normal Form (XNF)
Ryan Marcotte www.cs.uregina.ca/~marcottr CS 475 (Advanced Topics in Databases) March 14, 2011 Outline Introduction to XNF and motivation for its creation Analysis of XNF’s link to BCNF Algorithm for converting a DTD to XNF Example March 14, 2011 Ryan Marcotte 2 March 14, 2011 Ryan Marcotte 3 Introduction XML is used for data storage and exchange Data is stored in a hierarchical fashion Duplicates and inconsistencies may exist in the data store March 14, 2011 Ryan Marcotte 4 Introduction Relational databases store data according to some schema XML also stores data according to some schema, such as a Document Type Definition (DTD) Obviously, some schemas are better than others A normal form is needed that reduces the amount of storage needed while ensuring consistency and eliminating redundancy March 14, 2011 Ryan Marcotte 5 Introduction XNF was proposed by Marcelo Arenas and Leonid Libkin (University of Toronto) in a 2004 paper titled “A Normal Form for XML Documents” Recognized a need for good XML data design as “a lot of data is being put on the web” “Once massive web databases are created, it is very hard to change their organization; thus, there is a risk of having large amounts of widely accessible, but at the same time poorly organized legacy data.” March 14, 2011 Ryan Marcotte 6 Introduction XNF provides a set of rules that describe well-formed DTDs Poorly-designed DTDs can be transformed into well- formed ones (through normalization – just like relational databases!) Well-formed DTDs avoid redundancies and update -
Model-Based XML to Relational Database Mapping Choices
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3S, October 2019 Model-based XML to Relational Database Mapping Choices Emyliana Song, Su-Cheng Haw, Fang-Fang Chua Type Definition file (DTD) or XML schema to define Abstract— Extensible Markup Language (XML) technology structure of XML document. For model-based mapping, is widely used for data exchange and data representation in both DTD and XML schema is not needed. online and offline mode. This structured format language able to be transformed into other formats and share information The rest of the paper is organized as follows. Existing and across platforms. XML is simple; however, it is designed to related approaches on model-based mapping schemes are accommodate changes. For this paper, a study on reviewed in section 2. Section 3 discussed the performance transformation of XML document into relational database is evaluation carried out in the experiment of selected conducted. Crucial part of this process is how to maintain the approaches. Experimental results and analysis of the hierarchy and relationships between data in the document into findings are presented in section 4. And lastly, Section 5 database. Approaches that are discussed in this paper each uses own unique way of data storing technique and database design. conclude the paper. Therefore, each algorithm is assessed with three datasets constitute of small, medium and large size XML file. The II. LITERATURE REVIEW efficiency of the algorithms is being tested on time taken for data storing and query execution process. At the end of the Throughout the years, numerous mapping schemes have evaluation, we discuss factors that affect algorithm performance been proposed to resolve issues on transforming XML to and present suggestions to improve mapping scheme for future relational database structure. -
XML in Oracle 9I
Geoff Lee Senior Product Manager Oracle Corporation XML in Oracle9i A Technical Overview Agenda ! Survey ! Technical Overview ! Summary ! Q & A Agenda ! Survey ! Technical Overview ! Summary ! Q & A XML in Oracle9i - Overview ! XML and its family of standards are vital to the future of e-Business ! Oracle9i XML Developer’s Kits support the family of XML standards to provide a complete XML-enabled Internet application platform ! Oracle9i Database Native XML support enables fast, flexible, and scalable storage and retrieval of XML data and documents ! XML Messaging and Transformation support in AQ provide a centralized, easy to manage, secure infrastructure for global messaging Agenda ! Survey ! Technical Overview – XML – XDK – Database Native XML – XML Messaging ! Summary ! Q & A Application Requirements 1 Internet Content 2 Internet Application Management Development ConsolidateConsolidate InternetInternet contentcontent MakeMake webweb sitesite transactional,transactional, BuildBuild dynamicdynamic webweb sites/portalssites/portals secure,secure, scalablescalable andand availableavailable 5 3 Enterprise Application Business Intelligence Integration Capture,Capture, analyze,analyze, andand shareshare IntegrateIntegrate webweb sites,sites, ERP,ERP, businessbusiness intelligenceintelligence legacylegacy systems,systems, supplierssuppliers 4 Mobile Information Access MakeMake webweb sitessites accessibleaccessible fromfrom anyany mobilemobile devicedevice Internet N-Tier Architecture Web Browser HTTP Listener Dispatcher Web Server HTML Application -
Transactional Support in Native Xml Databases
TRANSACTIONAL SUPPORT IN NATIVE XML DATABASES Theo Härder, Sebastian Bächle and Christian Mathis University of Kaiserslautern, Gottlieb-Daimler-Str., 67663 Kaiserslautern, Germany Keywords: XML database management, concurrency control, logging and recovery, elementless XML storage. Abstract: Apparently, everything that can be said about concurrency control and recovery is already said. None the less, the XML model poses new problems for the optimization of transaction processing. In this position paper, we report on our view concerning XML transaction optimization. We explore aspects of fine-grained transaction isolation using tailor-made lock protocols. Furthermore, we outline XML storage techniques where storage representation and logging can be minimized in specific application scenarios. 1 INTRODUCTION set of standards for information exchange and representation. It seems, the more domains are When talking about transaction management, every- conquered by XML (by defining schemas for body implicitly refers to relational technology. It is business cooperation), the more the relational true that the basic concepts of ACID transactions systems approach “legacy”. (Härder and Reuter, 1983) were primarily laid in the Hence, efficient and effective transaction-pro- context of flat table processing and the related query tected collaboration on XML documents (XQuery languages and later adjusted to object orientation. As Update Facility) becomes a pressing issue. a major advance for transaction processing, Weikum Solutions, optimal in the relational world, may fail and Vossen (2002) unified concurrency control and to be appropriate because of the documents’ tree recovery for both the page and object model. Perfor- characteristics and differing processing models. mance concerns led to a refinement of the page Structure variations and workload changes imply model to exploit records as more fine-grained units that transaction-related protocols must exhibit better of concurrency control. -
XML Native Databases and Legislative Documents: a White Paper
Preserving State Government Digital Information Minnesota Historical Society XML Native Databases and Legislative Documents: A White Paper Abstract XML native databases can improve access to and use of text-based XML encoded information by providing full-text indexing and native storage, and they can be even more powerful when used with other XML standards and tools such as XQuery and XForms. Any comments, corrections, or recommendations may be sent to the project team, care of: Nancy Hoffman Project Analyst Minnesota Historical Society [email protected] / (651) 259-3367 The Problem Electronic legislative records present a classic information management problem – how can text- based information be as easy to access and use as data stored in traditional database systems?1 A common solution has been to take data out of a document and place it into defined fields in a traditional database management system - a process called “shredding.” Removing and storing data elements in this way is not only difficult and time consuming, but more importantly, the database cannot take full advantage of the value of the text because the actual documents are stored in a separate file system or are completely obscure when stored as objects (called binary large object types or BLOBs ) inside the database.2 XML Changes Everything The adoption of XML bill drafting systems for legislation and increasing use of XML to structure related information opens new possibilities afforded by XML-related tools and 1 http://www.cs.ubc.ca/grads/resources/thesis/May04/Fengdong_Du.pdf [accessed 12/18/2009] 2 http://www.ibm.com/developerworks/xml/library/x-xml2008prevw.html [accessed 12/22/2009] Minnesota Historical Society / State Archives Page 1 of 12 NDIIPP XML Native Databases White Paper Version 1, December 2009 http://www.mnhs.org/ndiipp standards that have developed over the ten-plus years since its introduction.