New York Finance

Jan 12 2018

SoftTree SQL Assistant – Productivity tools for database developers and DBAs

#sql,intellisense,intelliprompt,autocomplete,schema #compare,auto-complete,oracle,sql*plus,sqlplus,sql #server,db2,redshift,mysql,postgresql,sql #editor,microsoft #access,database #sql,sql #query #analyzer,query #browser,toad,sql #management #studio,mysql #workbench,intellisense #code #completion,sql #code,table #columns #lookup, #procedure #parameters #lookup,database #query #tool,sql #query,sybase,eclipse,mysql,ms #access,sql #prompt,red-gate,red #gate # SQL Assistant equips database developers and DBAs with the productivity tools they need to speed up the database development process, improve code quality and accuracy. SQL Assistant can boost your database development productivity by 300%. SQL Assistant supports all major databases. It is shipped pre-configured with support for Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, Amazon Redshift, IBM Netezza, Teradata, Pivotal Greenplum, SQLite, SAP (Sybase) ASE and SQL Anywhere. Other major features …

Oct 9 2017

FWaf – Machine learning driven Web Application Firewall #machine #learning,machine #learning #waf,ai #waf,ai #driven #waf,machine #learning #and #web #application #firewall,machine #learning #intrusion #detection,machine #learning #firewall,artificial #intelligence #firewall,machine #learning #and #security,machine #learning #and #computer #security,machine #learning #and #hacking,malicious #web #queries,malicious #web #queries #dataset,machine #learning #web #query,hacking,fsecurify,free #security,free #security #resources,free #security #for #everyone,free #hacking #resources

# fWaf Machine learning driven Web Application Firewall Lately, I have been thinking of ways of applying machine learning to a security project that I can do and share with all of you. A few days ago, I happened to come across a website called ZENEDGE which is offering AI driven web application firewall. I liked the concept and thought of making something similar and sharing it with the community. So, lets make one. fWaf Machine learning driven Web Application Firewall Dataset: The first thing to do was to find labelled data but the data I could find was quite …

Aug 22 2017

How to connect to MS SQL Server database #tutorial,html,javascript,asp,vbscript,sql,php,authoring,programming,training,learning,beginner’s #guide,howto,reference,examples,samples,source #code,tags,demos,tips,links,faq,tag #list,forms,frames,color #table,webcheatsheet,active #server #pages,internet,database,development,web #building,webmaster,html #guide,php #hypertext #preprocessor, #structured #query #language

# How to connect to MS SQL Server database In this tutorial we will show you how to connect to MS SQL Server database. Everything is commented so you won’t have trouble. Connect with a DSN DSN stands for ‘Data Source Name’. It is an easy way to assign useful and easily rememberable names to data sources which may not be limited to databases alone. If you do not know how to set up a system DSN read our tutorial How to set up a system DSN . % ‘declare the variables Dim ConnectionDim RecordsetDim SQL ‘declare the SQL statement …

Aug 8 2017

Microsoft Access Union Query: Union vs #union #query, #microsoft #access, #ms #access, #union, #union #all, #syntax, #query, #queries, #duplicates, #sample, #data

# Union vs. Union All Query Syntax for SQL Server and Microsoft Access Union Query Overview The purpose of the SQL UNION and UNIONALL commands are to combine the results of two or more queries into a single result set consisting of all the rows belonging to all the queries in the union. The question becomes whether or not to use the ALL syntax. The main difference between UNION ALL and UNION is that, UNION only selects distinct values, while UNION ALL selects all values (including duplicates). The syntax for UNION is as follows: [SQL Statement 1]UNION [SQL Statement 2] …

Jul 31 2017

Create Pivoted Tables in 3 Steps #cte, #pivot, #sql #server, #pivot #query, #t-sql, #database #development, #sql #server #2005

# Create Pivoted Tables in 3 Steps The PIVOT operator, which was introduced in SQL Server 2005, lets you create results that are pivoted, essentially using the data from one of the columns as column headers. For example, suppose you want to create a report that breaks down sales by year and month so that you can compare sales months for different years. Using the 2005 or 2008 version of the AdventureWorks database, you can create a query summarizing the data with the code in Listing 1. Table 1 shows an excerpt from the results. As you can see, looking …