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Vesti – SQL Server

Ukupno: 11, strana 1 od 1

Aqua Data Studio

 

 

 

Aqua Data studio je alat za upite baze podataka i alat za administraciju koji dizajnerima omogućava jednostavno pravljenje, uređivanje i izvršavanje SQL skripti, kao i pretraživanje i vizuelno modifikovanje strukture baze podataka. Aqua Data Studio pruža integrisano okruženje baze podataka sa jednim konzistentnim interfejsom za sve najpoznatije baze podataka. To omogućava dizajneru ili administratoru baze podataka da izvršava više zadataka istovremeno iz jedne aplikacije. Osobine aplikacije Query Analyzer/prozor QuerySofisticirani Query Analyzer omogućava korisnicima da rade na skriptama baze podataka pomoću specifične RDBMS sintakse i mogućnošću auto-complete za razvijanje i testiranje SQL skripti. Ostale osobine koje ubrzavaju razvoj su SQL-automatizacija, auto-opisivanje i višestruki rezultati sa mogućnošću razvrstavanja. Query Analyzer takođe omogućava povezivanje varijabli na strani klijenta, dopuštajući korisniku da izvršava smeštene procedure ili funkcije pomoću lokalnih povezanih varijabli. Prozor Query pruža dva režima operacija, SplitPane prikaz i MultuTab prikaz za editor i rezultate upita. Pretraživač šema i vizuelno uređivanjeMogućnosti grafičkog pretraživanja vam dopuštaju da shvatite strukturu i zavisnost šema baze podataka samo pomoću jednog klika mišem. Pretraživač šema vam takođe omogućava da vizuelno menjate svaki objekat šeme. Vizuelno uređivanje obuhvata tabele, indekse, procedure, vrste podataka i druge objekte šeme. Vizuelni editori takođe pružaju SQL prikaz svih komandi pre nego što se izvrše. Izdvajanje šema i DDL skriptovanjeGrafičko pretraživanje omogućava izdvajanje definicije strukture svih objekata šeme i skriptovanje SQL DDL i DML sintakse za objekte šema baze podataka (uključujući tabele, prikaze, pokretače, procedure i funkcije). Table Data EditorTable Data Editor vam omogućava da grafički modifikujete rezultate i snimite ih. Zapisivanjem jednog tabelarnog iskaza Select u Query Analyzeru i klikom dugmeta “Execute Edit”, otvara se poseban prozor sa rezultatima upita koje mođete da izmenite i snimite. Takođe, u pretraživaču šema možete da pretražujete tabelu i izaberete Edit Table iz pomoćnog menija da biste izmenili prvih 1000 zapisa u tabeli.
 
   

MailShadow za Google Apps

 

 

 

Veliki broj korisnika Microsoft Outlook-a nema dostupnost Exchange Server-u tako da su njihov e-mail i kalendar vezani su jedan računar. Nedavno je objavljen novi gadget koji je upravo ušao u beta verziju a koji omogućava pristup personalnim podacima na Web-u. Više od 2000 ljudi koji se bave testiranjem softvera prijavilo se da pomogne Cemaphore Systems-u da testira njihov MailShadow za Google Apps. MailShadow je servis koji nudi sinhronizaciju između Microsoft Outlook/Exchange, kalendara, kontakata i Google-ovog Gmail-a u realnom vremenu. MailShadow za Google Apps će krajem narednog meseca ući u Beta 2 izdanje. http://www. cemaphore. com/index. php Pripremio: Milenko Kusurović
 
   

Mapquest je dobio dugo očekivane i željene funkcije

 

 

 

Kada vam treba reč za papirnu maramicu, najverovatnije ćete reći Kleenex. Isto tako Xerox i mašine za kopiranje su skoro postali sinonimi. A za veliki broj ljudi, Mapquest je prva asocijacija na onlajn mape. Ogroman broj ljudi i dalje koristi Mapquest kao primarni onlajn servis za direkcije, iako i Google Maps i ostali servisi već dugo poseduju funkcije koje Mapquest nema. Ali izgleda da AOL (kompanija koja je vlasnik Mapquest-a) nema planove da ostavi Mapquest da sedi na lovorikama. Kompanija je izbacila novu verziju Mapquest bet-e i prateći Mapquest beta blog. TechCrunch izveštava da je današnja beta sutrašnji standardni interfejs. Mapquest planira da izbaci nova ažuriranja za glavni web sajt do kraja godine. Dakle šta je novo? Pre svega, sada dobijate mapu na prvoj strani, ne samo polja za unos teksta. Drugo, više ne morate da unesete ulicu, grad i državu u odvojena polja. Postoji unifikovano polje u vrhu, sličnu kao ono na Google Maps-u. Standardni pogled je pogled na pravce. Ali vi takođe možete da pretražujete biznise i mesta, na primer, "coffee shops" in "New York. " I dalje morate da pazite da ukucate ime mesta u jedno polje i ime lokacije u drugo, inače ćete sigurno biti nezadovoljni vašim rezultatima. Evo još nekoliko funkcija koje su nam se svidele: Odštampajte mapu sa onim nivoom detalja koji želite Uklonite ikone sa puta ako blokiraju imena ulica ili druge važne informacije Promenite vaša standardna podešavanja, uključujući pogled na mapu i iz vazduha, podesite kućne i radne lokacije i tako dalje Dobijte direkcije za puteve sa više stajališta Minimizirajte tekstualni panel sa strane i makisimizirajte mapu Adresa: Mapquest beta
 
   

NoSQL weekly 44

 

 

 

News 10gen Releases Cloud-Based Monitoring and Alerting Solution for MongoDB 10gen, the company behind MongoDB, has announced the general availability of MongoDB Monitoring Service (MMS), a new monitoring service that is available free of charge to all MongoDB users. MMS provides visibility into current and historical operations to facilitate proactive alerts, support and response on system performance and availability. Cloudera Integrates Hadoop Distro with R Analytics Revolution Analytics has announced that it will integrate Cloudera's Distribution with Apache Hadoop (CDH3) with its Revolution R Enterprise platform to create a joint offer called "RevoConnectR for Apache Hadoop. " The product is meant to enable R developers to access Hadoop data stores and write MapReduce jobs directly with R. Articles, Tutorials and Talks A Graph-Based Movie Recommender Engine This post demonstrates how to build a graph-based movie recommender engine using the publicly available MovieLens dataset, the graph database Neo4j, and the graph traversal language Gremlin. Spring + MongoDB: Type Safe Queries This blog post walks you through how you can use QueryDSL to provide type-safe queries when using Spring and MongoDB. Counting Triangles A triangle exists when a vertex has two adjacent vertexes that are also adjacent to each other. Using friendship as an example: If two of your friends are also friends with each other, then the three of you form a friendship triangle. This concept is useful for understanding social networks and graph analysis in general (e. g. it can be used to compute the clustering coefficient of a graph). This post compares the solution of counting triangles using Hadoop, PIG, and Vertica. Wiki PageRank with Hadoop This tutorial shows how to create a PageRanking for Wikipedia with the use of Hadoop. The Wikipedia (en) has 3. 7M articles at the moment and is still growing. Each article has many links to other articles. With those incomming and outgoing links we can determine which page is more important than others, which basically is what PageRanking does. Beating Google With CouchDB, Celery and Whoosh (Part 1) This is the first post in a series of posts that will show you how to create a search engine using standard Python tools like Django, Celery and Whoosh with CouchDB as the backend. Hadoop for Archiving Email This post explores a specific use case for Apache Hadoop, one that is not commonly recognized, but is gaining interest behind the scenes. It has to do with converting, storing, and searching email messages using the Hadoop platform for archival purposes. Nokia: Lessons Learnt Migrating a Very Large and Highly Relational Database into a "Classic" NoSQL Enda Farrell discusses how they ported Nokia's places registry to NoSQL, the reasons, the complexity involved and the lessons learned along the way in terms of people, tools and data. Castle: Re-inventing storage for Big Data Castle, an open-source project, is a ground-up overhauling of RAID, file systems, and the POSIX interface. The target is 1 million random inserts per second to disk on a $1,000 commodity box, and we're nearly there. Castle is also the core of the Acunu Data Platform, which delivers up to 100x higher performance for applications written for Cassandra and other tools. Optimizing your CouchDB Calls by 99% In this talk, Tim Anglade explains the best practices that he has observed, tried and implemented, from a large pool of examples that includes the customer apps he has  helped optimize and debug, as well as his own. Fine-Tune Your Apache Hadoop Security Settings The article covers some of the features of the Apache Hadoop security infrastructure that will help cluster administrators fine-tune the security settings of their clusters. Scaling with RavenDB In this webcast, Oren Eini and Nick VanMatre, Solutions Architect at Archstone, sit down to discuss the scaling options for Archstone's newest project, a re-architecture of their internal and external apartment-management applications. Discussed are the options for scaling RavenDB, including sharding, replication and multi-master setups. Scaling with Riak at Showyou This is a presentation on how Showyou uses the Riak datastore at Showyou. com, as well as work they have been doing on a custom Riak backend for search and analytics. Getting Started with MMS This post shows you how to get started with MMS(MongoDB Monitoring Service), which is a free hosted monitoring service for MongoDB. How Tapad Uses Different DBs for Different Needs In this interview, Dag Liodden, VP of Engineering at Tapad talks about their NoSQL strategy and how they optimize their platform with different types of data stores for their various needs. Machine Learning and Hadoop Building a Real-Time Location-Based Urban Geofencing Game with Socket. io, Redis, Node. js and Sinatra Synchrony Replacing RabbitMQ with MongoDB Three Use Cases For Riak Interesting Projects, Tools and Libraries Monotable Monotable aims to provide a reliable distributed key-value data store, intended primarily for storing large numbers of small files. Monotable is implemented in a combination of Ruby and C. DataFu DataFu is a collection of user-defined functions for working with large-scale data in Hadoop and Pig.   It is used at LinkedIn in many of our off-line workflows for data derived products like "People You May Know" and "Skills". Professor, a MongoDB Profile Viewer Professor is a web application with corresponding command-line tool to read, summarize, and interpret MongoDB profiler output (for MongoDB 2. 0 and later). Cherrys Cherrys is a Redis backend for CherryPy sessions. New Releases Riak 1. 0 The features of Riak 1. 0 Include: Secondary Indices - allows a developer to tag Riak objects for indexing, and query the index to retrieve a list of matching keys Riak Pipe - a new feature for higher-latency data processing; a new take on Map/Reduce style data processing Integration of Riak Search - the powerful search engine built for Riak is now tightly integrated with the core 1. 0 package Lager - a new, simple and effective logging framework for Riak 1. 0 LevelDB Support - Riak 1. 0 includes available support for the LevelDB storage engine, further increasing user choice in deploying Riak Administration Improvements - new tools make it easier to scale, manage and access a Riak cluster for developers and administrators Upcoming Events and Webinars Introduction to MongoDB and PHP This webinar is an introduction to using MongoDB with PHP. The presenter will demonstrate how to connect to the database, perform CRUD operations and perform queries. Finally, he will summarize the community tools and libraries available for PHP and discuss why one would use them. Introduction to Platform MapReduce The presenter will introduce the Platform MapReduce architecture and enterprise-required features such as High Availability support. The discussions will cover development and IT topics including integration and advanced management of Hadoop programs. The session will include interactive demonstrations of the platform. Mongo Boston Mongo Boston is an annual one-day conference dedicated to MongoDB Hadoop User Group UK October Hadoop meetup has three great talks this time around the theme of data integration. Informatica - Data integration and transformation Flume for data loading into HDFS / Hive (Songkick) Data Management for Hadoop Mongo Munich 2011 Mongo Munich is a one-day conference dedicated to MongoDB. LA-HUG - Getting Started with MapReduce: Hadoop For Beginners We'll have a high-level overview of the Hadoop ecosystem and what it's used for, and the companies involved in LA-HUG will have an opportunity to present the ways they leverage Hadoop for real-world applications. Books Hers is a list of the new books that are published this month. MongoDB and Python: Patterns and processes for the popular document-oriented database Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios. Professional NoSQL This comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases. The author begins with a helpful introduction on the subject of NoSQL, explains its characteristics and typical uses, and looks at where it fits in the application stack. Unique insights help you choose which NoSQL solutions are best for solving your specific data storage needs. HBase: The Definitive Guide If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away. Big Data Glossary To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment. NoSQL Jobs of the Week Backend Engineer at Chartbeat (New York, NY, United States) Our traffic numbers are growing, and so is our list of feature/project ideas  We are therefore looking for a backend engineer that can help with scaling, extending, and evolving our backend infrastructure to handle all this.   The person we hire will play a very integral part in engineering. We expect the person to work on everything from architecture, implementation, infrastructure management, and firefighting -- just like the rest of us. Sr. Search Engineer at Jive Software (Palo Alto, California, United State) Motivated by big scale challenges? Have a passion for big data problems related to search? The Jive Big Data team is looking for experienced search engineers to build and improve big data processing pipelines and search indexing on top of Apache Hadoop and HBase. Our team works extensively with open source software on big data, social graph, and machine learning problems. Server-Side Engineer at shopkick (Palo Alto, California, United States)
 
   

Nova knjiga po najpovoljnijoj ceni - SQL SERVER 2008 Majstor

 

 

 

Nakon izlaska knjige iz štampe, knjižarska cena će biti 2268. 00 dinara. Instaliranje, konfigurisanje i upravljanje. Optimizovanje, rešavanje problema i bezbednost baza podataka. Upoznajte veoma moćne nove funkcionalnosti SQL Servera 2008. U knjizi su opisane sledeće teme: SQL Server 2008, instaliranje i konfigurisanje Razumevanje mesta SQL Servera unutar Microsoft arhitekture Pouzdano i efikasno stavljanje podataka na raspolaganje korisnicima Primena nove Transparent Data funkcionalnosti koje pruža SQL Server 2008 Integrisanje XML tehnologije u SQL Server Kreiranje indeksiranih arhitektura u cilju maksimalne koristi i minimalnih troškova Pregledanje novih geometrijskih i geografskih tipova podataka u savremenim poslovima Link ka knjizi i korpi za naručivanje.  
 
   

Novo pdf poglavlje u e-knjigama: SQL Server 2008 proceduralno programiranje

 

 

 

Preuzmite danas poglavlje u pdf formatu iz e-knjiga. Link. U knjizi su opisane sledeće teme: SQL Server 2008, instaliranje i konfigurisanje Razumevanje mesta SQL Servera unutar Microsoft arhitekture Pouzdano i efikasno stavljanje podataka na raspolaganje korisnicima Primena nove Transparent Data funkcionalnosti koje pruža SQL Server 2008 Integrisanje XML tehnologije u SQL Server Kreiranje indeksiranih arhitektura u cilju maksimalne koristi i minimalnih troškova Pregledanje novih geometrijskih i geografskih tipova podataka u savremenim poslovima  
 
   

Putovanje kroz vreme

 

 

 

Ronald Malet, profesor teorijske fizike na Univerzitetu u Konektikatu u svojim zadnjim javnim nastupima je istakao kako je uveren da je na pragu otvaranja mogućnosti za putovanje u prošlost. Kao osnova za taj veliki proboj trebalo bi da poslužiti novootkrivena tehnika usporavanja rotirajućeg zraka svetlosti. Malet i njegovi saradnici ističu da , ukoliko sve bude prema proračunima, putovanje kroz vreme bi moglo uskoro postati dostupno čak i za komercijalne svrhe. Jedini problem pri izradi Maletove mašine trenutno predstavlja činjenica da je usporavanje svetlosti trenutno moguće jedino uz temperature bliske apsolutnoj nuli. Malo je živih bića koja bi mogla prezivjeti takvu vrstu putovanja. Ipak, i taj problem nije nerešiv. Potreban je još samo mali iskorak na nivou razvoja tehnologije, pa će i usporavanje svetlosti, baš kao i postizanje antigravitacije, biti ostvarivo u sasvim normalnim uvslovima. Konstruiranje Maletove mašine otvorilo bi nam prolaz u budućnost i omogućilo našim potomcima da ostvare kontakt s nama. Ali, oni ne bi mogli putovati u još dalju prošlost. Kako stvari sada stoje vremenska putovanja bila bi ograničena trenutkom konstruiranja prve vremenske mašine. Egipatski faraoni, kineski carevi i ostale istorijske ličnosti bi tako ostali „izvan dometa”  budućih vremenskih putnika, barem dok neki novi Ronald Malet ne reši i taj problem. Ceo tekst Pripremio: Milenko Kusurović
 
   

RealAccount – automatski potpis

 

 

 

Ukoliko koristite jedan korisnički račun unutar Microsoft Outlooka, ali više e-mail računa (mail account), tada sigurno imate problem sa automatskim potpisom (default signature) za svaki od e-mail računa. Tu će vam sigurno pomoći ovaj program jer omogućava postavljanje proizvoljnog potpisa za odabranu mail poruku. Više informacija Pripremio: Milenko Kusurović
 
   

The best NoSQL database options for the enterprise

 

 

 

The best NoSQL database options for the enterprise NoSQL databases are growing in popularity, as developers search for scalable and flexible storage that can handle the proliferation of unstructured data and increasingly complex web applications.  According to Allied Market Research, the NoSQL market is expected to hit $4. 2 billion (£3. 1 billion) globally by 2020. The term NoSQL was coined by Italian computer scientist Carlo Strozzi in 1998 to describe a lightweight relational database he was developing without a SQL interface.   SQL databases retain the bulk of the market, and industry giants Oracle, Microsoft and IBM still dominate the landscape, but a range of NoSQL alternatives have emerged to challenge the established vendors. Here's our pick of the best, in no particular order. 1. MongoDB Open source NoSQL database MongoDB is a user-friendly, secure, highly scalable option with a vast ecosystem of partners, at a fraction of the cost of SQL market leader Oracle's MySQL.  The document-orientated database is currently used by more than half of all Fortune 100 companies. In 2016 the company entered the database-as-a-service (DaaS) market with MongoDB Atlas, a cloud-hosted database service initially only available on Amazon Web Services (AWS), which it later made available as a managed service in the cloud on a pay-per-hour basis. It also offers a backend as a service tool called MongoDB Stitch to help developers integrate third-party services into their applications without the need to regularly write boilerplate code or compromise security. The tool gives developers an API to MongoDB that lets them configure the different services they want to include in their application. 2. Apache Cassandra Apache Cassandra is a wide column store database designed for high scalability and availability that offers continuous availability across multiple data centers and the cloud. Cassandra is known for low latency, simple administration and high performance under heavy loads. Typical uses for the database include IoT applications, product catalogues, user activity tracking, messaging, and social media analytics. It's a popular choice for companies with large, active, mission-critical datasets, such as eBay, GitHub, Instagram and Netflix. 3. Amazon DynamoDB Amazon DynamoDB is a fully managed cloud database supports both document and key-value store models and is designed for any applications that need consistent, single-digit millisecond latency at any scale. Features include DynamoDB Accelerator (DAX) in-memory cache to support performance at scale, support for key-value data structures, storing, querying, and updating documents and integration with other AWS products. DynamoDB is known for the ease with which it lets users scale, monitor, and manage their tables and its ability to handle larger high-performance use cases. 4. Couchbase Couchbase is a powerful NoSQL data platform designed to make more sophisticated and responsive enterprise web, mobile, and IoT applications by quickly liberating data at scale across any channel or device. Couchbase uses a schemaless JSON data model to ease adaptation to changing demands, is always available with virtually no downtime and can potentially support millions of concurrent users. 5. DataStax NoSQL DataStax leverages the open source Apache Cassandra database to deliver high performance under heavy loads, and market-leading scalability. According to stress tests commissioned by DataStax and run by independent database firm EndPoint, Cassandra significantly outperforms market rivals Couchbase, MongoDB and HBase in both throughput and latency. The DataStax Enterprise platform incorporates graph, search, analytics, administration, developer tooling and monitoring and can analyse app performance in real-time to create instant insights. It also offers excellent availability. DataStax claims that Cassandra architecture allows an application to lose an entire datacentre and still perform as if nothing happened. 6. Oracle NoSQL Oracle customers have had the option to choose from the software collosus' SQL and NoSQL database offerings since the latter was added to the company's roster in 2011. The Oracle NoSQL Database combines many of the most attractive features of its NoSQL market rivals, with the reliability and performance expected of Oracle and its vast team of experienced database experts. It combines strong performance, security, and availability in a scalable, distributed database that is flexible and stable. It also makes the ostensibly counter-intuitive possibility of running SQL queries on a NoSQL database possible. This can be useful for users who don't write Java applications or know the relevant APIs, as it's easier to integrate new data being captured in NoSQL databases if it's accessible via SQL. 7. MarkLogic MarkLogic is an operational and transactional Enterprise NoSQL database provider that bills itself as the "the world's best database for integrating data from silos". The platform is designed to integrate data from disconnected databases and then building applications on that data at a faster speed and lower cost than traditional databases. It does this through a flexible, adaptable and scalable data model. It's known for its ability to execute without sacrificing availability and enterprise-level security. Features include integrated search, semantics, bitemporal and tiered storage. MarkLogic customers include the BBC, Boeing, US Navy, and numerous leading global banks. 8. Apache HBase Apache HBase is an open source database system that runs on top of the Hadoop Distributed File System (HDFS). It's a column-orientated database, which sets it apart from document-based databases such as MongoDB. Storing data in columns makes searching related data faster, which makes them suitable for heavy analytic workloads and reporting on data. Apache HBase's close connection to Hadoop has played a key role in its growing popularity and is the source of features including a distributed filesystem and data node fault tolerance. HDFS provides it with strictly consistent reads and writes, automatic and configurable sharding of tables and automatic failover support between RegionServers. 9. Redis Redis is an open-source, in-memory NoSQL database used to boost application performance. Known for its blazing speed, Redis also offers high availability, a flexible data model, and easy deployment. The key value store can quickly process large and complex datasets and is particularly useful for rapidly changing data that is being regularly accessed, such as real-time analytics. The core open source database is available for free, but the company also offers a serverless, hosted and managed cloud service called Redis Cloud service and the on premise Redis Labs Enterprise Cluster (RLEC) In testing by Avalon Consulting on a real-world high volume real-time write-intensive application that was commissioned by Redis Labs, RLEC outperformed Couchbase, DataStax Enterprise, Cassandra and Aerospike on both throughput and latency. 10. MapR-DB MapR-DB is an in-Hadoop NoSQL database management system that adds real-time analytics to big data applications. It is one of the key components of the MapR “converged data platform”, which combines its NoSQL operations with analytics from Hadoop and Spark, real-time database capabilities and event streaming with web-scale storage to develop and run apps in the same physical cluster Hadoop allows it to process large volumes of data across numerous commodity servers, while Spark supports faster application development and higher performance.   The main strengths of MapR-DB are the integration of these sophisticated analytics engines, its native JSON support, and its speed, dependability, and ease-of-use. 11. ArangoDB ArangoDB is a native multi-model database that uses a single declarative query language. It provides a scalable and flexible infrastructure to model data and build applications using a combination of JSON documents, graphs and a key-value store. The native multi-mode approach lets you combine different models and features in the same query.  This approach is particularly useful for developing new products or services where requirements are likely to change and require quick reactions. It also supports collaboration in software development. For example, if one team is developing an application using a document database, and another is working on a graph database, the two can easily exchange their experience. ORIGINAL              
 
   

Twitter - kako da Excel koristite kao Twitter klijent

 

 

 

Excel kao Twitter klijent Kompletan članak. Twitter za svakodnevne poslove Kompletan članak. 6 poslova gde možete da koristite Twitter.
 
   

Wakoopa – tragač softvera

 

 

 

Wakoopa je društvena mreža za softvera. Ovaj sajt je savršeno mesto za pronalaženje softvera. Posle registracije na vašem računaru se instalira mali „tragač” koji može da skenira vašu mašinu i analizira softver koji vi koristite. Ovaj sajt je dobar zato što vam daje uvid u softver koji se koristi ali i preporuke, mišljenja, savete itd. Veoma interesantan servis, probajte. Pripremio: Milenko Kusurović
 
   

 

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