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07-31-2019
346
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259
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62
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My Accepted Solutions
Title | Views | Posted |
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2942 | 08-22-2018 06:02 PM | |
1694 | 03-26-2018 11:48 AM | |
4232 | 03-15-2018 01:25 PM | |
5088 | 03-01-2018 08:13 PM | |
1435 | 02-20-2018 01:05 PM |
01-28-2016
02:05 PM
We provide all the security and governance components around administration (Ranger), authentication (Kerberos), authorization (Ranger), audit (Ranger), and data protection (TDE). It is up to the customer to configure the environment and implement the PCI compliant solutions (encryption, policies, data masking, auditing, etc.). In addition, Apache Knox provides perimeter security and Apache Atlas provides governance. Hope this helps.
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01-27-2016
06:05 PM
1 Kudo
+ @Paul Codding
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01-27-2016
05:45 PM
1 Kudo
@suresh kumar here is our PCI DSS white paper. Following are some key points: Organizations require a number of capabilities to fully comply with various aspects of PCI regulations There is no “silver bullet” or a single vendor or product that can address all 12 requirements of PCI compliance A vendor or product can’t be PCI-compliant or PCI-certified; only a project or deployment can be certified to be PCI compliant hortonworks-pci-compliance-wp.pdf
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01-20-2016
12:45 PM
@Luis Antonio Torres thanks for the update. Please be sure to post the solution when you find it. I'm sure others will find it helpful.
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01-20-2016
12:43 PM
3 Kudos
@ajaysingh, @Neeraj Sabharwal is correct. I suggest you use the python virtualenv to workaround this requirement.
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01-20-2016
12:39 PM
3 Kudos
@Ancil McBarnett I see this pattern in all my customers. Dev tends to be small. Sometimes dev is comprised of only sandbox instances and is almost always a virtual environment. Test mimics prod in all configuration aspects but tends to be about 30%-50% prod capacity. Upgrades, configuration changes, patching, tech previews all occur in the test environment prior to any production rollout. In the end, Hadoop isn't much different than other platforms as far as this is concerned.
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01-19-2016
02:09 PM
Cassandra uses a filesystem similar to HDFS so, yes, Cassandra, like HBase, can scale. The difference is Cassandra is a solution while Hadoop, HDFS in particular, is a platform. Use Cassandra for specific use cases and access patterns but use HDFS as your data lake.
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01-19-2016
01:16 PM
@Mehdi TAZI HDFS is not NoSQL. NoSQL solutions place schemas (albeit flexible and loose schemas) on the data and are considered alternatives to traditional relational systems. HDFS is scalable, redundant storage and assumes no structure on the data. Many NoSQL solutions in fact use HDFS for their storage. The point is that when you land your data (pdf, txt, json, xml...) in HDFS you have the flexibility to operate on that data with any tool you choose. In many cases the tools you can use to analyze data structured in a NoSQL solution is limited. If you want to dig further, I suggest reading up on the CAP Theorem. All database systems must adhere to the CAP Theorem. Because HDFS is storage, it doesn't have this limitation.
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01-19-2016
01:04 PM
Try removing the mapred.task.timeout command. I also assume you're using the correct jdbc driver? curl -L 'http://download.microsoft.com/download/0/2/A/02AAE597-3865-456C-AE7F-613F99F850A8/sqljdbc_4.0.2206.100_enu.tar.gz'| tar xz.
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01-18-2016
02:08 PM
@Luis Antonio Torres it can't hurt to try a ping -t (or just ping if you're on a mac) against the SQL Server IP and see if you're getting dropped packets.
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