Master Data Management & Reference Data Management 🛰️

I am not able to open the documentation for the linkhttps://support.ataccama.com/home/docs/aip/13.2.0/big-data-engine.It showing error. Could you please share the link

There is no limit on the number of rows written to the drill-through table. If not specified, all rows will be written.The maximum number of columns is not a specific number and depends on the DB. See this Wikipedia page for detailed information by DB type. 

There are two ways to do this, using two different driversRight-click Databases > New Database Connection. Connect via the JDBC driver:select MS SQL in the Database type fieldadd integratedSecurity=true to the end of the connection string.For example jdbc:sqlserver://localhost:1433;databaseName=test1;integratedSecurity=true  Connect via the jTDS driver:select jTDS - MS SQL in the Database type fieldspecify a connection string in the following formatjdbc:jtds:sqlserver://localhost:9876/test1;domain=companyfill in Username and Password 

Disruption starts with good data. We believe good data empowers your company to innovate and grow. It’s easy to start—offer a suite of free software for the data people.Ataccama ONE ProfilerProfile a whole database schema with a few clicks or simply drag and drop a file. Profile data directly from your browser.Start profiling data We also have a collection of example data sets and a PostgreSQL database (loaded with example data) for you to explorer in the free profiler.https://app.ataccama.com/welcome/example-datasetsWe have example data sets for various industries including;Automotive Banking Biotechnology Consulting Education Government Healthcare Insurance IT Services Retail / E-commerce Transportation Telecommunications.Lets try the PostgresSQL database as a connection source from the Education example data set.After clicking the Connect to the database button, we are directed to the Data Sources section of the free profiler. Here we can see I can the education_datasource in my lis

Installing KerberosIn Linux MSSQL with Windows integrated security requires the installation of the Kerberos client. In terminal run the following to install Kerberos on your workstation: yum install krb5-server krb5-libs krb5-workstation Create a krb5.conf file. Below is an example, but be noted that yours may differ: [libdefaults]forwardable = trueticket_lifetime = 24hdns_lookup_realm = falsedns_lookup_kdc = falsedefault_ccache_name = /tmp/krb5cc_%{uid}#default_tgs_enctypes = aes des3-cbc-sha1 rc4 des-cbc-md5#default_tkt_enctypes = aes des3-cbc-sha1 rc4 des-cbc-md5[domain_realm][logging]default = FILE:/var/log/krb5kdc.logadmin_server = FILE:/var/log/kadmind.logkdc = FILE:/var/log/krb5kdc.log[realms][EXAMPLE.NET](http://example.net/) = {admin_server = 123.123.123.123kdc = [abc.example.net](http://abc.example.net/)} In terminal run:  kinit -V -c krb5cc firstname.lastname@EXAMPLE.NETEnter your password and wait for the message: Authenticated to Kerberos Authenticate to the SQL server Se

If we had the following Instance Data containing the source system and master id groups for each of the instance records and we would like to calculate the count of source per master id. Step by step guide. Create our input data as a text file. Create a new plan and add the following steps to the plan; 1x Text File Reader 1x Representative Creator 2x Text File Writer Connect the steps as follows Configure the Text File Reader to read from the input data we created in step 1. and add 2 shadow columns. These shadow columns could alternatively be added via an Alter Format step. The columns will hold our count per source system (A | B)   Double click on the Representative Creator step and click on the Group By tab. select the master_id as the column to group by.     Add a Rule to the Representative Creator step by clicking on the Add button or double clicking on the asterisk.  Double click on the newly created Attribute rule and then on the Representative Attributes tab

The standard deviation measures the spread of the data about the mean value. It is useful in comparing sets of data which may have the same mean but a different range.For example, the mean of the following two is the same:18 19 20 21 22 = 18+19+20+21+22 / 5 = 2010 15 20 25 30 = 10+15+20+25+30 / 5 = 20However, the second is clearly more spread out. If a set has a low standard deviation, the values are not spread out too much. Lets do the calculations outside of ONE Desktop, so we know our expected result.ExampleFind the standard deviation of 4, 9, 11, 12, 17, 5, 8, 12, 14?First work out the mean: 4+9+11+12+17+5+8+12+14 / 9 = 10.222Now, subtract the mean individually from each of the numbers given and square the result. This is equivalent to the (x - )² step. x refers to the values given in the question.x 4 9 11 12 17 5 8 12 14 (x -  )2 38.7 1.49 0.60 3.16 45.9 27.3 4.94 3.16 14.3 Now add up these results (this is the 'sigma' in the formula): 38.7+1.

In this Tips & Tricks post, I will show you how to configure a plan to evaluate your data and make a decision on whether to continue processing your data as planned or to stop processing data and exit the plan safely without the plan throwing an error.In this scenario we will generate a data set consisting of 1 column and 100 records. The column will have either a true or false value. We’ll have a business rule that checks the values of the 100 records and stops processing the data if at least one false value is found in the data stream.  Let’s prepare the data pipe initial so that we have input and output data flows.Starting with a blank .plan file we will add a Text File Reader step to store our results and a Random Record Generator step to generate the 100 records.We’ll configure the Random Record Generate step to create 1 column named value, and to create the values true 99 in 100 frequency and false 1 in 100 frequency. This configuration will ensure that when we run the plan 1