Social Media Screening happens all the time (infograph)

How Companies Are Using Social Media To Hire & Fire Employees?

Ever wonder how companies are using social media profiles to screen their employees? We’ve found the answers. Read on to learn just how companies are finding out everything they need to know about you through social media, and how you can ensure that you never get hired.

Source: here

Social-Media-Screening-Infograph





SQLTimer: a SQL Server Timer

the-science-of-timing

thinking_animated_smiley_emoticon

So…you’ve got a fancy Business Intelligence (BI) solution? Predictive Analytics or perhaps Actionable Analytics? Ever thought about the right time to contact your (potential) customers?



SQLTimer might be a handy addition to your BI Suite!
Like a timer for your lighting, it checks every hour whether it’s the right moment to execute jobs for categories like:

BusinessHour: Indicates whether or not it’s the right time to contact your customer during business hours (included in the SQLTimer script)

Other additional time schedules which are downloadable:
Twitter: Indicates whether or not it’s the right time to contact your Twitter users
FaceBook: Indicates whether or not it’s the right time to contact your FaceBook users
LinkedIn: Indicates whether or not it’s the right time to contact your LinkedIn users
GooglePlus: Indicates whether or not it’s the right time to contact your Google+ users
Pinterest: Indicates whether or not it’s the right time to contact your Pinterest users

In this blogpost, I’ll be diving into the SQLTimer itself and the free time schedule called ‘BusinessHour’ (included in the script).

Download the complete script free on:
SQLTimer – How to install


How it works:
Just like the timer for your lightbulb, it is configured on an hourly basis:

SQL-Timer-Execute-TimeSchedule

The values indicate whether it is a bad, better or even the best time to contact your business on a weekly basis:

BusinessHour values:
0) = Outside of business hours
1) = Inside of business hours
2) = Preferred hours

Important note: SQLTimer is setup on a day-to-day basis and thus you might tweak the time schedule a bit for local holidays or other important days in the year:

SQL-Timer-TimeSchedule

SQLTimer objects:
(An existing database is required)
Let’s have a look at all the SQLTimer objects:

SQL-Timer-Objects

*** Tables ***

timer.TimerLogging
This table contains the logging (when a time schedule was executed (StartTime/EndTime) and what value the time schedule had)

SQLTimer’s logging in timer.TimerLogging:

SQL-Timer-Logging

timer.TimeSchedule
This table actually contains the time schedule itself

timer.TimeScheduleConfiguration
This table is all about the configuration

SQLTimer’s configuration in timer.TimeScheduleConfiguration
In case you would like to change the name of the schema, don’t forget to change the configuration settings:

SQL-Timer-TimeScheduleConfiguration


*** Stored Procedures ***

timer.usp_Hourly_Timer
This SP is the timer itself and needs to be scheduled in SQL Agent to be run on an hourly basis

timer.usp_Select_TimeSchedule
You might want to use the timer.usp_Select_TimeSchedule() stored procedure to analyze the time schedule for the coming week:

SQL-Timer-Execute-Select-TimeSchedule

timer.usp_Execute_BusinessHour_Jobs
This SP will execute the preferred jobs (for example: T-SQL code, SP’s or SQL Agent Jobs) for the time schedule ‘BusinessHour’

Here’s how the timer.usp_Execute_BusinessHour_Jobs looks like.
You need to add your T-SQL code, SP’s or SQL Agent Jobs here that need to be executed if the @TimeScheduleValue reaches a certain value.

SQL-Timer-Execute-BusinessHour-Jobs


*** Install the SQLTimer ***

So far about the SQLTimer itself, it’s time to install it!
1) Download the T-SQL script here: SQLTimer – How to install

2) Unzip the ZIP-file and open the *.sql file in SSMS or SSDT

3) Change the database name and uncomment the T-SQL code:

SQL-Timer-T-SQL-Script

4) Execute the T-SQL script
Output of the script:

SQL-Timer-T-SQL-Script-executed

5) Create a SQL Agent Job (Execute T-SQL statements) which executes the timer.usp_Hourly_Timer stored procedure every hour


6) Don’t forget to update the time schedule with your local (company) holidays 🙂
Table: timer.TimeSchedule


Websites:
SQLTimer
BumbleBI IT


Review: Twitter Search functionality for SQL Server (by SQL# – SQLsharp)

sql-sharp-logo
SQL# (SQLsharp)
Expanding the capabilities of T-SQL


SQL# is a small but extensive library of useful functions to help you code more powerful SQL Stored Procedures and User-Defined Functions.

From a Social BI’s perspective, I wanted to review the new Twitter Search functionality of SQL# (SQLsharp), which is available in the Full Version of SQL#.

System specifications:
This review was performed on a laptop with Windows 7 and SQL Server 2008R2 installed on it. Since SQL# uses a lot of the .NET framework and extra coding in DLLs, this should also work on SQL Server 2012 (and SSDT).


Solomon Rutzky did a great job by adding the Twitterizer .Net library (discontinued) and Twitter Search functionality to SQL# in this new version. For documentation about SQL#, click here.


Twitter – SearchTweets
The Full Version of SQL# provides 65 more functions than the Free Version, and it includes the Twitter: SearchTweets. An important note here, if you would only like to send tweets (twitter updates) and use other ‘basic’ Twitter functionalities, the Free Version would suffice:

SQL# – Free Version

Twitter: BlockUser, CreateFavorite, DestroyDirectMessage, DestroyFavorite, DestroyStatus, FollowUser, GetBlocks, GetFavorites, GetFollowers, GetFriends, GetHomeTimeline, GetMentions, GetMessages, GetRetweetedBy, GetRetweets, GetRetweetsOfMe, GetSentMessages, GetStatus, GetUser, GetUserTimeline, Retweet, SendDirectMessage, UnBlockUser, UnFollowUser, Update, xAuth

SQL# – Full Version

Twitter: SearchTweets

For more info about SQL# and perhaps to download the free version of SQL#, go to the website SQLSharp.com


Setup your Twitter Application:
A prerequisite is to have a Twitter Application already setup and connected to your Twitter-account. You’ll need to have the ‘Consumer key‘, ‘Consumer secret‘, ‘Access token‘ and ‘Access token secret‘.

Here’s HowTo to setup Twitter, the Twitter application and fetch the required keys:
Documentation: Twitter Setup
How to setup a Twitter Application (API)

So I’ve setup my Twitter Application called ‘PowerPivotBook‘ after the self-study course I wrote earlier:
dev-twitter-com-application-settings


Install SQL# (by executing the provided *.sql file):
To install SQL#, just open the *.sql-file in SQL Server Management Studio (SSMS, or SSDT) and execute it:

Install-SQLSharp-Succes


Set Security to External Access first
After installing SQL#, you’ll first need to set the security of Twitterizer to have ‘external access’. Otherwise you’ll be getting this error:
SetSecurity-first

Execute this SQL-statement to set the security to ‘external access’:
EXEC SQL#.SQLsharp_SetSecurity 2, 'SQL#.Twitterizer'

The result:
SetSecurity-done


Twitter Update functionality (send a Tweet via SSMS):
It’s time to send out a test Tweet and let the world know we’re alive 🙂


DECLARE @ConsumerKey NVARCHAR(100),
@ConsumerSecret NVARCHAR(100),
@AccessToken NVARCHAR(100),
@AccessTokenSecret NVARCHAR(100)

SELECT @ConsumerKey = '', //---Needs to be filled in.
@ConsumerSecret = '', //---Needs to be filled in.
@AccessToken = '', //---Needs to be filled in.
@AccessTokenSecret = '' //---Needs to be filled in.

SELECT SQL#.Twitter_Update(@ConsumerKey, @ConsumerSecret,
@AccessToken, @AccessTokenSecret, 'TweetTest - '+CAST(GETDATE() AS VARCHAR(100)), null, null, null)

Send-TestTweet

The result:
PowerPivotBook

TestTweet-successfull


SQL#.Twitter_SearchTweets() (TVF)
Now it’s time to use the Twitter Search functionality!

DECLARE @ConsumerKey NVARCHAR(100),
@ConsumerSecret NVARCHAR(100),
@AccessToken NVARCHAR(100),
@AccessTokenSecret NVARCHAR(100)

SELECT @ConsumerKey = '', //---Needs to be filled in.
@ConsumerSecret = '', //---Needs to be filled in.
@AccessToken = '', //---Needs to be filled in.
@AccessTokenSecret = '' //---Needs to be filled in.

SELECT * FROM SQL#.Twitter_SearchTweets(@ConsumerKey, @ConsumerSecret,
@AccessToken, @AccessTokenSecret, 'PowerPivot', NULL)

The results:
tweet-search-results

Optional parameters
You’re able to minimize your search area by supplying optional parameters, like for example geo-location (geocode), language (lang) or max number of tweets (count):


DECLARE @Params SQL#.Type_HashTable
SET @Params = ''
SET @Params = @Params.AddItem('count', '100') --Max = 100
SET @Params = @Params.AddItem('lang', 'NL') --LanguageCode (2 letters, ISO2)
SET @Params = @Params.AddItem('geocode','52.3708305359,4.9040098190,50km') --Geocode for 'Amsterdam, NL'

SELECT * FROM SQL#.Twitter_SearchTweets(@ConsumerKey, @ConsumerSecret,
@AccessToken, @AccessTokenSecret, 'weer', @Params)

Twitter-search-optional-parameters


SQL#.Twitter_SearchTweets() (TVF) Return Table specs:

[StatusID] [bigint] NULL,
[Created] [datetime] NULL,
[InReplyToStatusID] [bigint] NULL,
[InReplyToUserID] [int] NULL,
[IsFavorited] [bit] NULL,
[IsTruncated] [bit] NULL,
[Source] [nvarchar](200) NULL,
[StatusText] [nvarchar](200) NULL,
[RecipientID] [int] NULL,
[TimeZone] [nvarchar](100) NULL,
[ScreenName] [nvarchar](100) NULL,
[UserName] [nvarchar](100) NULL,
[UserID] [int] NULL,
[Location] [nvarchar](100) NULL,
[PlaceID] [nvarchar](50) NULL,
[PlaceName] [nvarchar](500) NULL,
[PlaceFullName] [nvarchar](500) NULL,
[PlaceType] [nvarchar](500) NULL,
[PlaceCountry] [nvarchar](500) NULL,
[PlaceLatitude] [float] NULL,
[PlaceLongitude] [float] NULL,
[RateLimit] [int] NULL,
[RateLimitRemaining] [int] NULL,
[RateLimitReset] [datetime] NULL

You’ll be able to fetch the results and feed it into your ETL-process. Social BI is just a few steps away 🙂


Conclusion:
SQL# is a great addition to your cookbook and/or standard functionalities of SQL Server.

Free Version
If you would like to build a TweetBot that tweets automated updates, like for example job vacancies or weather updates, the Free Version of SQL# is a great toolkit. It’s free and easy to install, but as a best practice for security or practical reasons, create a dedicated (new) database for it or even a different SQL Server instance.

Full Version
Today’s BI is all about gathering social data, an easy way to add twitter search data to your BI-stack is by using the SQL# Full Version. Of course an experienced .NET developer can easily set things up with the Twitterizer-kit, but keep in mind that Twitter makes changes to its API and that requires maintenance. Nevertheless, for US$ 200,- (about 2~3 times an average hourly rate) you’ll be getting a lot more functionalities.