CQL, and the Road to Redemption
|
|
- Gavin Austin
- 5 years ago
- Views:
Transcription
1 CQL, and the Road to Redemption Eric Evans Cassandra Summit August 8, 2012 #cassandra12
2 Cassandra Query Language (aka CQL) Query language for Apache Cassandra SQL for the most part An alternative query interface Available since Cassandra 0.8.0
3
4
5 Best Troll Ever?
6 Not a troll at all, actually.
7 Status Quo RPC-based query interface Implemented in Thrift Compact binary serialization Loads of supported languages Generated language code Low level; very little abstraction
8 Unstable Relax NOT AGAIN! It ll take you 5 minutes to update your code.
9 Not User Friendly
10 This cannot be unseen! // Your column Column col = new Column(ByteBuffer.wrap( name.getbytes())); col.setvalue(bytebuffer.wrap( value.getbytes())); col.settimestamp(system.currenttimemillis()); // Don t ask ColumnOrSuperColumn cosc = new ColumnOrSuperColumn(); cosc.setcolumn(cosc); // Hang on, here we go... Mutation mutation = new Mutation(); mutation.setcolumnorsupercolumn(cosc); List<Mutation> mutations = new ArrayList<Mutation>(); mutations.add(mutation); Map mutations_map = new HashMap<ByteBuffer, Map<String, List<Mutation>>>(); Map cf_map = new Map<String, List<Mutation>>(); cf_map.set( Standard1, mutations); mutations_map.put(bytebuffer.wrap( key.getbytes()), cf_map); cassandra.batch_mutate(mutations_map, consistency_level);
11 This cannot be unseen! // Your column Column col = new Column(ByteBuffer.wrap( name.getbytes())); col.setvalue(bytebuffer.wrap( value.getbytes())); col.settimestamp(system.currenttimemillis()); // Don t ask ColumnOrSuperColumn cosc = new ColumnOrSuperColumn(); cosc.setcolumn(cosc); // Hang on, here we go... Mutation mutation = new Mutation(); mutation.setcolumnorsupercolumn(cosc); List<Mutation> mutations = new ArrayList<Mutation>(); mutations.add(mutation); Map mutations_map = new HashMap<ByteBuffer, Map<String, List<Mutation>>>(); Map cf_map = new Map<String, List<Mutation>>(); cf_map.set( Standard1, mutations); mutations_map.put(bytebuffer.wrap( key.getbytes()), cf_map); cassandra.batch_mutate(mutations_map, consistency_level);
12 A query interface should be... Simple Intuitive Invisible Performant(?)
13 Alternatives REST RPC (Thrift, Avro, Protobuf, etc) SQL (bahahaha) etc, etc
14 REST Pros Ubiquitous Frequently requested Client uniformity Cons Fails expectations Slow
15 RPC Pros Easy to implement Performant Cons Poor mental fit Heavy dependency
16 SQL Pros Ubiquitous Widely known Excellent mental fit Client uniformity Cons People whinging Security(?)
17 SQL Pros Ubiquitous Widely known Excellent mental fit Client uniformity Cons People whinging Security(?)
18
19 Hello Create or update INSERT INTO users (id, given, surname) VALUES (jericevans, Eric, Evans); -- Create or update UPDATE users SET given = Eric, surname = Evans WHERE id = jericevans; SELECT surname, given FROM users WHERE id = jericevans;
20 ...is it me you re looking for? -- Adding an index CREATE INDEX surnameidx ON users (surname); SELECT id, given FROM users WHERE surname = Evans; -- Limiting the number of rows SELECT id, given FROM users WHERE surname = Evans LIMIT 1000;
21 Querying column ranges -- From column, to column SELECT FROM News WHERE topic = cassandra -- Last N columns SELECT FIRST 10 REVERSED * FROM News WHERE topic = cassandra
22 Counting -- Get your count on UPDATE inventory SET apples = apples + 1 WHERE id = fruit; UPDATE inventory SET carrots = carrots - 1 WHERE id = vegetable;
23 Batching writes BEGIN BATCH INSERT INTO msgs (owner, subject, body) VALUES(jericevans, Hi, Howdy ); UPDATE subjects SET subject = now WHERE owner = jericevans APPLY BATCH
24 A query interface should be... Simple Intuitive Invisible Performant(?)
25 Drivers Not (necessarily) a replacement for high-level, idiomatic libraries Avoids duplicating efforts, (error handling, pooling, etc) Consistently scoped, JDBC, etc Consistently hosted, licensed Discoverable More work needed...
26 Current lineup JDBC (Java) DB-API 2 (Python) PDO (PHP) Ruby Node.JS
27 And what about interface stability?
28 0.8.0 CQL 1.0
29 CQL types made more consistent w/ SQL count() returns rows, not columns
30
31 CQL
32 CQL A materialized timeline of tweets CREATE COLUMNFAMILY timeline ( username text, posted_at timestamp, body text, posted_by text, PRIMARY KEY (username, posted_at) );
33 CQL 3.0 INSERT INTO timeline (username, posted_at, body, posted_by) VALUES (scotty, :36 stupid klingons..., jtkirk); INSERT INTO timeline (username, posted_at, body, posted_by) VALUES (scotty, green?, spock); INSERT INTO timeline (username, posted_at, body, posted_by) VALUES (scotty, yes, green, jtkirk); INSERT INTO timeline (username, posted_at, body, posted_by) VALUES (scotty, :14 get off my lawn!, bones);
34 In Cassandra s eyes eye scotty (23/03 14:36, body): stupid klingons... (23/03 14:36, posted_by): jtkirk (23/03 16:12, green?...
35 -- Tweets in Scotty s timeline, by date SELECT * FROM timeline WHERE username = scotty AND posted_at > ;
36 Is it a row, or a table? Yes. username posted_at body posted_by scotty 23/03 14:36 stupid klingons... jtkirk scotty 23/03 green? spock scotty 23/03 yes, green jtkirk scotty 25/03 08:14 get off my lawn! bones
37 Also... Column names are strictly UTF-8 Column names are case-insensitive (unless quoted) Old slice notation is gone (<start>..<end>) Static column families are actually static (schema-enforced)
38 NOT AGAIN!
39 CQL beta You are here x
40
41 CQL 3.0 You will be here x 1.2.0
42 A query interface should be... Simple Intuitive Invisible Performant(?)
43 Performance inserts
44 Performance inserts w/ index
45 Performance counter increments
46 Performance reads
47
48 A query interface should be... Simple Intuitive Invisible Performant
49 Help Wanted Writing tests Documentation Feedback Drivers
50 #cassandra12
Getting to know. by Michelle Darling August 2013
Getting to know by Michelle Darling mdarlingcmt@gmail.com August 2013 Agenda: What is Cassandra? Installation, CQL3 Data Modelling Summary Only 15 min to cover these, so please hold questions til the end,
More informationCassandra 2012: What's New & Upcoming. Sam Tunnicliffe
Cassandra 2012: What's New & Upcoming Sam Tunnicliffe sam@datastax.com DSE : integrated Big Data platform Built on Cassandra Analytics using Hadoop (Hive/Pig/Mahout) Enterprise Search with Solr Cassandra
More informationRails on HBase. Zachary Pinter and Tony Hillerson RailsConf 2011
Rails on HBase Zachary Pinter and Tony Hillerson RailsConf 2011 What we will cover What is it? What are the tradeoffs that HBase makes? Why HBase is probably the wrong choice for your app Why HBase might
More informationA Non-Relational Storage Analysis
A Non-Relational Storage Analysis Cassandra & Couchbase Alexandre Fonseca, Anh Thu Vu, Peter Grman Cloud Computing - 2nd semester 2012/2013 Universitat Politècnica de Catalunya Microblogging - big data?
More informationTransitioning from C# to Scala Using Apache Thrift. Twitter Finagle
Transitioning from C# to Scala Using Apache Thrift and Twitter Finagle Steven Skelton September 19, 2013 Empathica Empathica provides Customer Experience Management programs to more than 200 of the world's
More informationCIB Session 12th NoSQL Databases Structures
CIB Session 12th NoSQL Databases Structures By: Shahab Safaee & Morteza Zahedi Software Engineering PhD Email: safaee.shx@gmail.com, morteza.zahedi.a@gmail.com cibtrc.ir cibtrc cibtrc 2 Agenda What is
More informationColumn-Family Stores: Cassandra
NDBI040: Big Data Management and NoSQL Databases h p://www.ksi.mff.cuni.cz/ svoboda/courses/2016-1-ndbi040/ Lecture 10 Column-Family Stores: Cassandra Mar n Svoboda svoboda@ksi.mff.cuni.cz 13. 12. 2016
More informationUtilizing Databases in Grid Engine 6.0
Utilizing Databases in Grid Engine 6.0 Joachim Gabler Software Engineer Sun Microsystems http://sun.com/grid Current status flat file spooling binary format for jobs ASCII format for other objects accounting
More informationCassandra 1.0 and Beyond
Cassandra 1.0 and Beyond Jake Luciani, DataStax jake@datastax.com, 11/11/11 1 About me http://twitter.com/tjake Cassandra Committer Thrift PMC Early DataStax employee Ex-Wall St. (happily) Job Trends from
More informationCassandra- A Distributed Database
Cassandra- A Distributed Database Tulika Gupta Department of Information Technology Poornima Institute of Engineering and Technology Jaipur, Rajasthan, India Abstract- A relational database is a traditional
More informationApache Spark 2.0. Matei
Apache Spark 2.0 Matei Zaharia @matei_zaharia What is Apache Spark? Open source data processing engine for clusters Generalizes MapReduce model Rich set of APIs and libraries In Scala, Java, Python and
More informationA Quick Database Comparison of Db4o and SQL Databases through Cayenne
A Quick Database Comparison of Db4o and SQL Databases through Cayenne Peter Karich August 11, 2007, Bayreuth 1 Contents 1 Design 3 1.1 Pros....................................... 3 1.2 Cons.......................................
More informationCSCI-1680 RPC and Data Representation. Rodrigo Fonseca
CSCI-1680 RPC and Data Representation Rodrigo Fonseca Today Defining Protocols RPC IDL Problem Two programs want to communicate: must define the protocol We have seen many of these, across all layers E.g.,
More informationThe new face of Cassandra. Michaël
The new face of Cassandra Michaël Figuière @mfiguiere Speaker Michaël Figuière @mfiguiere 2 Ring Architecture Cassandra 3 Ring Architecture Replica Replica Replica 4 Linear Scalability Client Writes/s
More informationNetworking & The Web. HCID 520 User Interface Software & Technology
Networking & The HCID 520 User Interface Software & Technology Uniform Resource Locator (URL) http://info.cern.ch:80/ 1991 HTTP v0.9 Uniform Resource Locator (URL) http://info.cern.ch:80/ Scheme/Protocol
More informationIBM Db2 Event Store Simplifying and Accelerating Storage and Analysis of Fast Data. IBM Db2 Event Store
IBM Db2 Event Store Simplifying and Accelerating Storage and Analysis of Fast Data IBM Db2 Event Store Disclaimer The information contained in this presentation is provided for informational purposes only.
More informationAn Information Asset Hub. How to Effectively Share Your Data
An Information Asset Hub How to Effectively Share Your Data Hello! I am Jack Kennedy Data Architect @ CNO Enterprise Data Management Team Jack.Kennedy@CNOinc.com 1 4 Data Functions Your Data Warehouse
More informationCBRN Data Import/Export Tool (CDIET) Presented by: Darius Munshi
CBRN Data Import/Export Tool (CDIET) Presented by: Darius Munshi 1 Cubic Company Proprietary 2 Presentation Outline Introduction to CDIET Benefits provided to user Scope Statement Timeline for development
More informationComparing SQL and NOSQL databases
COSC 6397 Big Data Analytics Data Formats (II) HBase Edgar Gabriel Spring 2014 Comparing SQL and NOSQL databases Types Development History Data Storage Model SQL One type (SQL database) with minor variations
More informationColumn-Family Databases Cassandra and HBase
Column-Family Databases Cassandra and HBase Kevin Swingler Google Big Table Google invented BigTableto store the massive amounts of semi-structured data it was generating Basic model stores items indexed
More informationApp Engine: Datastore Introduction
App Engine: Datastore Introduction Part 1 Another very useful course: https://www.udacity.com/course/developing-scalableapps-in-java--ud859 1 Topics cover in this lesson What is Datastore? Datastore and
More informationEveryone who has been involved with IT for more than a few
Introduction to MySQL Everyone who has been involved with IT for more than a few months has at least heard of MySQL. The acquisition of MySQL AB by Sun Microsystems brought a great deal of additional attention
More informationSimba ODBC Driver with SQL Connector for Apache Cassandra
Simba ODBC Driver with SQL Connector for Apache Cassandra 2.0.16 The release notes provide details of enhancements and features in Simba ODBC Driver with SQL Connector for Apache Cassandra 2.0.16, as well
More informationOral Questions and Answers (DBMS LAB) Questions & Answers- DBMS
Questions & Answers- DBMS https://career.guru99.com/top-50-database-interview-questions/ 1) Define Database. A prearranged collection of figures known as data is called database. 2) What is DBMS? Database
More informationAsanka Padmakumara. ETL 2.0: Data Engineering with Azure Databricks
Asanka Padmakumara ETL 2.0: Data Engineering with Azure Databricks Who am I? Asanka Padmakumara Business Intelligence Consultant, More than 8 years in BI and Data Warehousing A regular speaker in data
More informationHBase Solutions at Facebook
HBase Solutions at Facebook Nicolas Spiegelberg Software Engineer, Facebook QCon Hangzhou, October 28 th, 2012 Outline HBase Overview Single Tenant: Messages Selection Criteria Multi-tenant Solutions
More informationTurning Relational Database Tables into Spark Data Sources
Turning Relational Database Tables into Spark Data Sources Kuassi Mensah Jean de Lavarene Director Product Mgmt Director Development Server Technologies October 04, 2017 3 Safe Harbor Statement The following
More informationIBM DB2 JSON An overview of DB capabilities as a JSON document store
IBM DB2 JSON An overview of DB2 10.5 capabilities as a JSON document store Olivier Bernin IBM Session Code: 4 April 16 th, 14:45 Platform: DB2 LUW Agenda Introduction what's JSON, requirements, setting
More informationCollecting, Outputting & Inputting Data in AnyLogic
Collecting, Outputting & Inputting Data in AnyLogic Nathaniel Osgood Using Modeling to Prepare for Changing Healthcare Needs Duke-NUS April 16, 2014 Recording of Results A frequent modeler need is to record
More informationBig Data Development CASSANDRA NoSQL Training - Workshop. November 20 to (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI
Big Data Development CASSANDRA NoSQL Training - Workshop November 20 to 24 2016 (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI ISIDUS TECH TEAM FZE PO Box 9798 Dubai UAE, email training-coordinator@isidusnet
More informationElliotte Rusty Harold August From XML to Flat Buffers: Markup in the Twenty-teens
Elliotte Rusty Harold elharo@ibiblio.org August 2018 From XML to Flat Buffers: Markup in the Twenty-teens Warning! The Contenders XML JSON YAML EXI Protobufs Flat Protobufs XML JSON YAML EXI Protobuf Flat
More informationSpotify. Scaling storage to million of users world wide. Jimmy Mårdell October 14, 2014
Cassandra @ Spotify Scaling storage to million of users world wide! Jimmy Mårdell October 14, 2014 2 About me Jimmy Mårdell Tech Product Owner in the Cassandra team 4 years at Spotify
More informationCSCI-1680 RPC and Data Representation John Jannotti
CSCI-1680 RPC and Data Representation John Jannotti Original Slides from Rodrigo Fonseca Today Defining Protocols RPC IDL Problem Two programs want to communicate: must define the protocol We have seen
More informationNetworking & The Web. HCID 520 User Interface Software & Technology
Networking & The Web HCID 520 User Interface Software & Technology Uniform Resource Locator (URL) http://info.cern.ch:80/ 1991 HTTP v0.9 Uniform Resource Locator (URL) http://info.cern.ch:80/ Scheme/Protocol
More informationDATABASE SYSTEMS. Database programming in a web environment. Database System Course, 2016
DATABASE SYSTEMS Database programming in a web environment Database System Course, 2016 AGENDA FOR TODAY Advanced Mysql More than just SELECT Creating tables MySQL optimizations: Storage engines, indexing.
More informationOverview. * Some History. * What is NoSQL? * Why NoSQL? * RDBMS vs NoSQL. * NoSQL Taxonomy. *TowardsNewSQL
* Some History * What is NoSQL? * Why NoSQL? * RDBMS vs NoSQL * NoSQL Taxonomy * Towards NewSQL Overview * Some History * What is NoSQL? * Why NoSQL? * RDBMS vs NoSQL * NoSQL Taxonomy *TowardsNewSQL NoSQL
More informationTopics. Big Data Analytics What is and Why Hadoop? Comparison to other technologies Hadoop architecture Hadoop ecosystem Hadoop usage examples
Hadoop Introduction 1 Topics Big Data Analytics What is and Why Hadoop? Comparison to other technologies Hadoop architecture Hadoop ecosystem Hadoop usage examples 2 Big Data Analytics What is Big Data?
More informationgrpc - A solution for RPCs by Google Distributed Systems Seminar at Charles University in Prague, Nov 2016 Jan Tattermusch - grpc Software Engineer
grpc - A solution for RPCs by Google Distributed Systems Seminar at Charles University in Prague, Nov 2016 Jan Tattermusch - grpc Software Engineer About me Software Engineer at Google (since 2013) Working
More informationDATABASE SYSTEMS. Introduction to MySQL. Database System Course, 2016
DATABASE SYSTEMS Introduction to MySQL Database System Course, 2016 AGENDA FOR TODAY Administration Database Architecture on the web Database history in a brief Databases today MySQL What is it How to
More informationInstalling Data Sync Version 2.3
Oracle Cloud Data Sync Readme Release 2.3 DSRM-230 May 2017 Readme for Data Sync This Read Me describes changes, updates, and upgrade instructions for Data Sync Version 2.3. Topics: Installing Data Sync
More informationHadoop File Formats and Data Ingestion. Prasanth Kothuri, CERN
Prasanth Kothuri, CERN 2 Files Formats not just CSV - Key factor in Big Data processing and query performance - Schema Evolution - Compression and Splittability - Data Processing Write performance Partial
More informationCSE 344 JULY 9 TH NOSQL
CSE 344 JULY 9 TH NOSQL ADMINISTRATIVE MINUTIAE HW3 due Wednesday tests released actual_time should have 0s not NULLs upload new data file or use UPDATE to change 0 ~> NULL Extra OOs on Mondays 5-7pm in
More information10 Million Smart Meter Data with Apache HBase
10 Million Smart Meter Data with Apache HBase 5/31/2017 OSS Solution Center Hitachi, Ltd. Masahiro Ito OSS Summit Japan 2017 Who am I? Masahiro Ito ( 伊藤雅博 ) Software Engineer at Hitachi, Ltd. Focus on
More informationNoSQL Databases An efficient way to store and query heterogeneous astronomical data in DACE. Nicolas Buchschacher - University of Geneva - ADASS 2018
NoSQL Databases An efficient way to store and query heterogeneous astronomical data in DACE DACE https://dace.unige.ch Data and Analysis Center for Exoplanets. Facility to store, exchange and analyse data
More informationPython, PySpark and Riak TS. Stephen Etheridge Lead Solution Architect, EMEA
Python, PySpark and Riak TS Stephen Etheridge Lead Solution Architect, EMEA Agenda Introduction to Riak TS The Riak Python client The Riak Spark connector and PySpark CONFIDENTIAL Basho Technologies 3
More informationOracle TimesTen Scaleout: Revolutionizing In-Memory Transaction Processing
Oracle Scaleout: Revolutionizing In-Memory Transaction Processing Scaleout is a brand new, shared nothing scale-out in-memory database designed for next generation extreme OLTP workloads. Featuring elastic
More informationCSCE Java. Dr. Chris Bourke. Prior to Lab. Peer Programming Pair-Up. Lab 15 - Databases & Java Database Connectivity API
CSCE 155 - Java Lab 15 - Databases & Java Database Connectivity API Dr. Chris Bourke Prior to Lab Before attending this lab: 1. Read and familiarize yourself with this handout. Some additional resources
More informationScaling Up HBase. Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech. CSE6242 / CX4242: Data & Visual Analytics
http://poloclub.gatech.edu/cse6242 CSE6242 / CX4242: Data & Visual Analytics Scaling Up HBase Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech Partly based on materials
More informationDown the event-driven road: Experiences of integrating streaming into analytic data platforms
Down the event-driven road: Experiences of integrating streaming into analytic data platforms Dr. Dominik Benz, Head of Machine Learning Engineering, inovex GmbH Confluent Meetup Munich, 8.10.2018 Integrate
More informationA Tutorial on Apache Spark
A Tutorial on Apache Spark A Practical Perspective By Harold Mitchell The Goal Learning Outcomes The Goal Learning Outcomes NOTE: The setup, installation, and examples assume Windows user Learn the following:
More informationAerospace Integrated Data Exchange Architecture (IDEA)
Aerospace Integrated Data Exchange Architecture (IDEA) Jeff Lang (310) 336-5935 jeffrey.a.lang@aero.org The Aerospace Corporation 2008 IDEA Features IDEA has been used by The Aerospace Corporation s Concept
More informationCopy Data From One Schema To Another In Sql Developer
Copy Data From One Schema To Another In Sql Developer The easiest way to copy an entire Oracle table (structure, contents, indexes, to copy a table from one schema to another, or from one database to another,.
More informationDATABASE SYSTEMS. Introduction to MySQL. Database System Course, 2016
DATABASE SYSTEMS Introduction to MySQL Database System Course, 2016 AGENDA FOR TODAY Administration Database Architecture on the web Database history in a brief Databases today MySQL What is it How to
More informationStream Processing Platforms Storm, Spark,.. Batch Processing Platforms MapReduce, SparkSQL, BigQuery, Hive, Cypher,...
Data Ingestion ETL, Distcp, Kafka, OpenRefine, Query & Exploration SQL, Search, Cypher, Stream Processing Platforms Storm, Spark,.. Batch Processing Platforms MapReduce, SparkSQL, BigQuery, Hive, Cypher,...
More informationA Distributed System Case Study: Apache Kafka. High throughput messaging for diverse consumers
A Distributed System Case Study: Apache Kafka High throughput messaging for diverse consumers As always, this is not a tutorial Some of the concepts may no longer be part of the current system or implemented
More informationPHP. MIT 6.470, IAP 2010 Yafim Landa
PHP MIT 6.470, IAP 2010 Yafim Landa (landa@mit.edu) LAMP We ll use Linux, Apache, MySQL, and PHP for this course There are alternatives Windows with IIS and ASP Java with Tomcat Other database systems
More informationExam Questions C
Exam Questions C2090-610 DB2 10.1 Fundamentals https://www.2passeasy.com/dumps/c2090-610/ 1.If the following command is executed: CREATE DATABASE test What is the page size (in kilobytes) of the database?
More informationFront End Programming
Front End Programming Mendel Rosenblum Brief history of Web Applications Initially: static HTML files only. Common Gateway Interface (CGI) Certain URLs map to executable programs that generate web page
More informationCreating a target user and module
The Warehouse Builder contains a number of objects, which we can use in designing our data warehouse, that are either relational or dimensional. OWB currently supports designing a target schema only in
More informationSpotfire Advanced Data Services. Lunch & Learn Tuesday, 21 November 2017
Spotfire Advanced Data Services Lunch & Learn Tuesday, 21 November 2017 CONFIDENTIALITY The following information is confidential information of TIBCO Software Inc. Use, duplication, transmission, or republication
More informationBuilding a Cassandra based applica1on from scratch. Patrick McFadin Cassandra Summit 2012 #cassandra12
Building a Cassandra based applica1on from scratch Patrick McFadin Cassandra Summit 2012 #cassandra12 This is me Chief Architect at Hobsons Hobsons is an educa1on services company. More here: www.hobsons.com
More informationCertified Apache Cassandra Professional VS-1046
Certified Apache Cassandra Professional VS-1046 Certified Apache Cassandra Professional Certification Code VS-1046 Vskills certification for Apache Cassandra Professional assesses the candidate for skills
More informationCSCI/CMPE Object-Oriented Programming in Java JDBC. Dongchul Kim. Department of Computer Science University of Texas Rio Grande Valley
CSCI/CMPE 3326 Object-Oriented Programming in Java JDBC Dongchul Kim Department of Computer Science University of Texas Rio Grande Valley Introduction to Database Management Systems Storing data in traditional
More informationBut before understanding the Selenium WebDriver concept, we need to know about the Selenium first.
As per the today s scenario, companies not only desire to test software adequately, but they also want to get the work done as quickly and thoroughly as possible. To accomplish this goal, organizations
More informationMySQL. The Right Database for GIS Sometimes
MySQL The Right Database for GIS Sometimes Who am I? Web/GIS Software Engineer with Cimbura.com BS in IT, MGIS Michael Moore I like making and using tools (digital or physical) GIS Web Services I m most
More informationEXAMGOOD QUESTION & ANSWER. Accurate study guides High passing rate! Exam Good provides update free of charge in one year!
EXAMGOOD QUESTION & ANSWER Exam Good provides update free of charge in one year! Accurate study guides High passing rate! http://www.examgood.com Exam : C2090-610 Title : DB2 10.1 Fundamentals Version
More informationAccount Activity Migration guide & set up
Account Activity Migration guide & set up Agenda 1 2 3 4 5 What is the Account Activity (AAAPI)? User Streams & Site Streams overview What s different & what s changing? How to migrate to AAAPI? Questions?
More informationIntroduction to GraphQL and Relay. Presenter: Eric W. Greene
Introduction to GraphQL and Relay Presenter: Eric W. Greene Welcome to the Webinar! Welcome to the webinar on GraphQL and Relay!!! We will review a few slides, then experiment with GraphQL and review GraphQL
More informationMicrosoft vision for a new era
Microsoft vision for a new era United platform for the modern service provider MICROSOFT AZURE CUSTOMER DATACENTER CONSISTENT PLATFORM SERVICE PROVIDER Enterprise-grade Global reach, scale, and security
More informationBuilding loosely coupled and scalable systems using Event-Driven Architecture. Jonas Bonér Patrik Nordwall Andreas Källberg
Building loosely coupled and scalable systems using Event-Driven Architecture Jonas Bonér Patrik Nordwall Andreas Källberg Why is EDA Important for Scalability? What building blocks does EDA consists of?
More informationBig Data Hadoop Course Content
Big Data Hadoop Course Content Topics covered in the training Introduction to Linux and Big Data Virtual Machine ( VM) Introduction/ Installation of VirtualBox and the Big Data VM Introduction to Linux
More informationCSCI-1680 RPC and Data Representation. Rodrigo Fonseca
CSCI-1680 RPC and Data Representation Rodrigo Fonseca Administrivia TCP: talk to the TAs if you still have questions! ursday: HW3 out Final Project (out 4/21) Implement a WebSockets server an efficient
More informationmicrosoft
70-775.microsoft Number: 70-775 Passing Score: 800 Time Limit: 120 min Exam A QUESTION 1 Note: This question is part of a series of questions that present the same scenario. Each question in the series
More informationDistributed Programming and Remote Procedure Calls (RPC): Apache Thrift. George Porter CSE 124 February 19, 2015
Distributed Programming and Remote Procedure Calls (RPC): Apache Thrift George Porter CSE 124 February 19, 2015 End-to-end RPC protocol RPC Components Defines messages, message exchange behavior, Programming
More information10/18/2017. Announcements. NoSQL Motivation. NoSQL. Serverless Architecture. What is the Problem? Database Systems CSE 414
Announcements Database Systems CSE 414 Lecture 11: NoSQL & JSON (mostly not in textbook only Ch 11.1) HW5 will be posted on Friday and due on Nov. 14, 11pm [No Web Quiz 5] Today s lecture: NoSQL & JSON
More informationHow Graphs and Java make GraphHopper efficient and fast. By Berlin Buzzwords,
How Graphs and Java make GraphHopper efficient and fast By Peter @timetabling Berlin Buzzwords, 2014-05-27 _ Available at graphhopper.com/public/slides How int[][] helped GraphHopper scaling How Graphs
More informationJSON - Overview JSon Terminology
Announcements Introduction to Database Systems CSE 414 Lecture 12: Json and SQL++ Office hours changes this week Check schedule HW 4 due next Tuesday Start early WQ 4 due tomorrow 1 2 JSON - Overview JSon
More informationCross-Platform Data Models and API Using grpc
Cross-Platform Data Models and API Using grpc Sebastian Hagedorn, Felix Lamouroux Outline 1. Motivation & Goals 2. Choosing the Right Cross-Platform Technology 3. Introduction to Protocol Buffers and grpc
More informationImproving Application Performance by Submitting Scripts to Batch using Zend Server for IBM i
Improving Application Performance by Submitting Scripts to Batch using Zend Server for IBM i Mike Pavlak Solution Consultant mike.p@zend.com Insert->Header 1 & Footer Agenda Overview of Zend Server Advantages
More informationEmbedded SQL. Host Language (record-oriented) 3. Process a tuple at a time. 1. Query. 4. Close Cursor
Embedded SQL Host Language (record-oriented) 3. Process a tuple at a time 1. Query 4. Close Cursor DBMS (set-oriented) 2. Evaluate query. Provide cursor to query result. 1 JDBC Java DataBase Connectivity
More informationCGS 3066: Spring 2017 SQL Reference
CGS 3066: Spring 2017 SQL Reference Can also be used as a study guide. Only covers topics discussed in class. This is by no means a complete guide to SQL. Database accounts are being set up for all students
More informationNCSS: Databases and SQL
NCSS: Databases and SQL Tim Dawborn Lecture 1, January, 2016 Motivation SQLite SELECT WHERE JOIN Tips 2 Outline 1 Motivation 2 SQLite 3 Searching for Data 4 Filtering Results 5 Joining multiple tables
More informationSQL. Often times, in order for us to build the most functional website we can, we depend on a database to store information.
Often times, in order for us to build the most functional website we can, we depend on a database to store information. If you ve ever used Microsoft Excel or Google Spreadsheets (among others), odds are
More informationL6 Application Programming. Thibault Sellam Fall 2018
L6 Application Programming Thibault Sellam Fall 2018 Topics Interfacing with applications Database APIs (DBAPIS) Cursors SQL!= Programming Language Not a general purpose programming language Tailored for
More informationBuilding Scalable and Extendable Data Pipeline for Call of Duty Games: Lessons Learned. Yaroslav Tkachenko Senior Data Engineer at Activision
Building Scalable and Extendable Data Pipeline for Call of Duty Games: Lessons Learned Yaroslav Tkachenko Senior Data Engineer at Activision 1+ PB Data lake size (AWS S3) Number of topics in the biggest
More informationFairCom White Paper c-treeace Connection Strings
FairCom White Paper c-treeace Connection Strings Contents 1. c-treeace SQL Connection Strings... 1 2. Basic Connection String Attributes and Defaults... 1 3. c-treeace Interactive SQL - ISQL... 2 4. c-treeace
More informationEmergency Bug Fixes (9.7.0)... 1 Fixed Limitations (9.7.0)... 2 Known Limitations (9.7.0)... 3 Informatica Global Customer Support...
Informatica Corporation Dynamic Data Masking Version 9.7.0 Release Notes August 2015 Copyright (c) 1993-2015 Informatica Corporation. All rights reserved. Contents Emergency Bug Fixes (9.7.0)... 1 Fixed
More informationTungsten Replicator for Kafka, Elasticsearch, Cassandra
Tungsten Replicator for Kafka, Elasticsearch, Cassandra Topics In todays session Replicator Basics Filtering and Glue Kafka and Options Elasticsearch and Options Cassandra Future Direction 2 Asynchronous
More informationTextbook. Topic 8: Files and Exceptions. Files. Types of Files
Textbook Topic 8: Files and A common mistake that people make when trying to design something completely foolproof is to underestimate the ingenuity of complete fools. -Douglas Adams 1 Strongly Recommended
More informationpurequery Deep Dive Part 2: Data Access Development Dan Galvin Galvin Consulting, Inc.
purequery Deep Dive Part 2: Data Access Development Dan Galvin Galvin Consulting, Inc. Agenda The Problem Data Access in Java What is purequery? How Could purequery Help within My Data Access Architecture?
More informationUsing the MySQL Document Store
Using the MySQL Document Store Alfredo Kojima, Sr. Software Dev. Manager, MySQL Mike Zinner, Sr. Software Dev. Director, MySQL Safe Harbor Statement The following is intended to outline our general product
More informationCSE 344 APRIL 16 TH SEMI-STRUCTURED DATA
CSE 344 APRIL 16 TH SEMI-STRUCTURED DATA ADMINISTRATIVE MINUTIAE HW3 due Wednesday OQ4 due Wednesday HW4 out Wednesday (Datalog) Exam May 9th 9:30-10:20 WHERE WE ARE So far we have studied the relational
More informationCHAPTER. Oracle Database 11g Architecture Options
CHAPTER 1 Oracle Database 11g Architecture Options 3 4 Part I: Critical Database Concepts Oracle Database 11g is a significant upgrade from prior releases of Oracle. New features give developers, database
More informationMySQL as a Document Store. Ted Wennmark
MySQL as a Document Store Ted Wennmark ted.wennmark@oracle.com Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and
More information8/24/2017 Week 1-B Instructor: Sangmi Lee Pallickara
Week 1-B-0 Week 1-B-1 CS535 BIG DATA FAQs Slides are available on the course web Wait list Term project topics PART 0. INTRODUCTION 2. DATA PROCESSING PARADIGMS FOR BIG DATA Sangmi Lee Pallickara Computer
More informationData Informatics. Seon Ho Kim, Ph.D.
Data Informatics Seon Ho Kim, Ph.D. seonkim@usc.edu HBase HBase is.. A distributed data store that can scale horizontally to 1,000s of commodity servers and petabytes of indexed storage. Designed to operate
More informationManaging Data Resources
Chapter 7 OBJECTIVES Describe basic file organization concepts and the problems of managing data resources in a traditional file environment Managing Data Resources Describe how a database management system
More informationEsper. Luca Montanari. MIDLAB. Middleware Laboratory
Esper Luca Montanari montanari@dis.uniroma1.it Esper Open Source CEP and ESP engine Available for Java as Esper, for.net as NEsper Developed by Codehaus http://esper.codehaus.org/ (write esper complex
More informationITP 140 Mobile Technologies. Databases Client/Server
ITP 140 Mobile Technologies Databases Client/Server Databases Data: recorded facts and figures Information: knowledge derived from data Databases record data, but they do so in such a way that we can produce
More informationSAP HANA Extended Application Services Native Development: Lockheed Martin
SAP HANA Extended Application Services Native Development: Lockheed Martin DEV112 Tim Champagne Lockheed Martin Derek Since Deloitte Consulting Learning Points Learn a real world example of the decision
More information