Yesterday we were discussing Enterprise Search. Companies are getting rid of their yellow Google search appliances and embracing cloud based services instead. Not just Google Enterprise Search Services but also HP TRIM and KeyVieware hosted in the cloud Most of them work with Big Data for their index. This is in sharp contrast to the desktop search index stores. These services work independently from the connectors that send the data which is a way to future proof the investment in enterprise search. The search service maintains an index pipeline that does reindex only on configuration change not data additions. Connectors can be implemented with a range of popular search engines. Companies pay for the SLAs from the connector. Connectors are available for a growing range of repositories which include File Systems, CIFS and NFS shares, Box.com, S3, etc., relational databases including tables and their snapshots, Content management systems such as Documentum and Sharepoint, Collaboration such as Confluence, Jira, ServiceNow and TeamForge,  CRM software such as SalesForce and RightNow, Websites hosted with Aspider web crawler, Heritrix web crawler and Staging repository as well as a variety of feeds such as FTP, RSS etc. The Service Level Agreements from the connector cover security with sign-on such as LDAP, NTLM and CAS, performance goals such as not to degrade the target repository and content enrichment such as cleansing, parsing, entity extraction and categorization.
#codingexercise
Break lines to make lines as balanced as possible with the typographical considerations to avoid excessive white space, avoid widows and orphans etc.
void BreakLines(int[] optimals)
{
for (int k =1; k <=n; k++)
{
    optimals[k] = int_max;
    for (int j =0; j<= k-1; j++)
         optimals[k] = Math.min(optimals[k], optimals[j] + Penalty(j, k));
}
}
where Penalty(i,j) is the penalty of starting a line at a position i and ending the line at a position j
The above method could be made recursive without memoization.