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For “big data” connectivity, I see a very high percentage of projects delivering business value from big data initiatives that require data connectivity from DataDirect. This was specifically around providing Universal data connectivity to Hadoop Hive and related low latency interfaces (Impala, Hawq, Drill, Stinger, etc).
From recent active projects, we're connecting systems in the other direction which takes success to new levels; and that is when you can move data sets aggregated by the Hadoop big data ecosystem; and move them to relational databases managed by strict corporate security policies which means your data is above the radar now. The most common is the requirement to connect to SQL Server from Linux using Windows Authentication (example from Hortonworks community).
DataDirect is your exclusive partner in data connectivity providing unique support for Windows Authentication from Linux across both ODBC and JDBC connectivity. Sqoop is a JDBC utility to move data between Hadoop Ecosystems and relational databases such as SQL Server. On the ODBC side, we’re seeing Python/Ruby wrappers that need to connect to relational DBs. Microsoft recommends using integrated security over mixed mode authentication for secure SQL Server platforms.
DataDirect invented “wire protocol” technology to connect to data without data source specific dependencies; and our implementation for windows authentication from Unix/Linux is no exception. You simply need to configure the driver with your Windows credentials in plain text. For Kerberos support, no credentials would be required.
Not even the sexiest data scientist and Hadoop platform are above corporate security, so here’s how you can connect from JDBC and ODBC to SQL Server to remain in compliance:
Download the DataDirect Connect(64) for ODBC drivers for Unix/Linux and follow the quick start guides supplied with the download. The SQL Server data source in the odbc.ini file should be configured as follows for NTLM authentication:
Description=DataDirect 7.1 SQL Server Wire Protocol
#Connecting to SQL Server Named Instance
# PortNumber not required when connecting to Named Instance
During test connect with the DataDirect samples/example utility, specify the following credentials for windows ntlm authenticated user “AMERICAS\SUMITS” and note domain is not required as part of user name since it was configured in the data source:
sumits@nc-lnx16 /opt/Progress/DataDirect/Connect64_for_ODBC_71/samples/example> example
example DataDirect Technologies, Inc. ODBC Example Application.
Enter the data source name : topptt01_cs
Enter the user name : SUMITS
Enter the password : my_windows_auth_pwd
Enter SQL statements (Press ENTER to QUIT)
Here is a related article on connecting with Windows Auth credentials from Unix/Linux: http://progresscustomersupport-survey.force.com/ConnectKB/articles/Article/000030786
Download the DataDirect Connect for JDBC drivers for and follow the quick start guides supplied with the download. The SQL Server JDBC connection URL should be configured as follows for NTLM authentication:
See the Connect (XE) for JDBC User’s Guide for complete reference.
1. Download free 15 day trial of the SQL Server ODBC Driver and SQL Server JDBC Driver to securely connect to your SQL Server databases from Hadoop land; or vice versa.
2. Or call 1-800-876-3101 to speak with a Systems Engineer to learn more.
Sumit Sarkar is a Chief Data Evangelist at Progress, with over 10 years experience working in the data connectivity field. The world's leading consultant on open data standards connectivity with cloud data, Sumit's interests include performance tuning of the data access layer for which he has developed a patent pending technology for its analysis; business intelligence and data warehousing for SaaS platforms; and data connectivity for aPaaS environments, with a focus on standards such as ODBC, JDBC, ADO.NET and ODATA. He is an IBM Certified Consultant for IBM Cognos Business Intelligence and TDWI member. He has presented sessions on data connectivity at various conferences including Dreamforce, Oracle OpenWorld, Strata Hadoop, MongoDB World and SAP Analytics and Business Objects Conference, among many others.
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