To help you better understand how Hadoop can be integrated into business intelligence (BE) and data warehousing (DW) and why you should care, I’d like to share with you the series of 27 tweets I recently issued on the topic. I think you’ll find the tweets interesting, because they provide an overview of these issues and best practices in a form that’s compact, yet amazingly comprehensive.
Every tweet I wrote was a short sound bite or stat bite drawn from my recent TDWI report “Integrating Hadoop in Business Intelligence and Data Warehousing.” Many of the tweets focus on a statistic cited in the report, while other tweets are definitions stated in the report.
I left in the arcane acronyms, abbreviations, and incomplete sentences typical of tweets, because I think that all of you already know them or can figure them out. Even so, I deleted a few tiny URLs, hashtags, and repetitive phrases. I issued the tweets in groups, on related topics; so I’ve added some headings to this blog to show that organization. Otherwise, these are raw tweets.
Every tweet I wrote was a short sound bite or stat bite drawn from my recent TDWI report “Integrating Hadoop in Business Intelligence and Data Warehousing.” Many of the tweets focus on a statistic cited in the report, while other tweets are definitions stated in the report.
I left in the arcane acronyms, abbreviations, and incomplete sentences typical of tweets, because I think that all of you already know them or can figure them out. Even so, I deleted a few tiny URLs, hashtags, and repetitive phrases. I issued the tweets in groups, on related topics; so I’ve added some headings to this blog to show that organization. Otherwise, these are raw tweets.
Status of Users’ Efforts at Integrating Hadoop into BI/DW 1. #TDWI SURVEY SEZ: Shocking 26% don’t know what #Hadoop is. Ignorance of #Hadoop too common in BI & IT.
2. #TDWI SURVEY SEZ: Mere 18% have had experience w/#HDFS & #Hadoop. Only 2/3rds of 18% have deployed HDFS.
3. Use of #Hadoop Distributed File System (#HDFS) will go from scarce to ensconced in 3 yrs.
4. #TDWI SURVEY SEZ: Only 10% have deployed #HDFS today, yet another 63% expect to within 3 yrs.
5. #TDWI SURVEY SEZ: A mere 27% say their organization will never deploy #HDFS.
2. #TDWI SURVEY SEZ: Mere 18% have had experience w/#HDFS & #Hadoop. Only 2/3rds of 18% have deployed HDFS.
3. Use of #Hadoop Distributed File System (#HDFS) will go from scarce to ensconced in 3 yrs.
4. #TDWI SURVEY SEZ: Only 10% have deployed #HDFS today, yet another 63% expect to within 3 yrs.
5. #TDWI SURVEY SEZ: A mere 27% say their organization will never deploy #HDFS.
Hadoop Technologies Used Today in BI/DW 6. #TDWI SURVEY SEZ: #MapReduce (69%) & #HDFS (67%) are the most used #Hadoop techs today.
7. #TDWI SURVEY SEZ: #Hive (60%) & #HBase (54%) are the #Hadoop techs most commonly used w/#HDFS.
8. #TDWI SURVEY SEZ: #Hadoop technologies used least today are: Chukwa, Ambari, Oozie, Hue, Flume.
9. #TDWI SURVEY SEZ: #Hadoop techs etc poised for adoption: Mahout, R, Zookeeper, HCatalog, Oozie.
7. #TDWI SURVEY SEZ: #Hive (60%) & #HBase (54%) are the #Hadoop techs most commonly used w/#HDFS.
8. #TDWI SURVEY SEZ: #Hadoop technologies used least today are: Chukwa, Ambari, Oozie, Hue, Flume.
9. #TDWI SURVEY SEZ: #Hadoop techs etc poised for adoption: Mahout, R, Zookeeper, HCatalog, Oozie.
What Hadoop will and won’t do for BI/DW
10. #TDWI SURVEY: 88% say #Hadoop for BI/DW (#Hadoop4BIDW) is opportunity cuz enables new app types.
11. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) replace #EDW? Mere 4% said yes.
12. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) augment #EDW? Mere 3% said no.
13. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) expand your #Analytics? Mere 1% said no.
10. #TDWI SURVEY: 88% say #Hadoop for BI/DW (#Hadoop4BIDW) is opportunity cuz enables new app types.
11. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) replace #EDW? Mere 4% said yes.
12. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) augment #EDW? Mere 3% said no.
13. #TDWI SURVEY: Can #Hadoop Distributed File System (#HDFS) expand your #Analytics? Mere 1% said no.
Hadoop Use Case with BI/DW
14. #TDWI SURVEY: 78% of respondents say #HDFS complements #EDW. That’s leading use case in survey.
15. #TDWI SURVEY: Other #HDFS use cases: archive (52%), data stage (41%), sandbox (41%), content mgt (35%).
14. #TDWI SURVEY: 78% of respondents say #HDFS complements #EDW. That’s leading use case in survey.
15. #TDWI SURVEY: Other #HDFS use cases: archive (52%), data stage (41%), sandbox (41%), content mgt (35%).
Hadoop Benefits and Barriers
16. #TDWI SURVEY: Best #Hadoop4BIDW benefits: #BigData source, #analytics, data explore, info discover.
17. #TDWI SURVEY: Worst #Hadoop4BIDW barriers: lacking skill, biz case, sponsor, cost, lousy #Hadoop tools.
16. #TDWI SURVEY: Best #Hadoop4BIDW benefits: #BigData source, #analytics, data explore, info discover.
17. #TDWI SURVEY: Worst #Hadoop4BIDW barriers: lacking skill, biz case, sponsor, cost, lousy #Hadoop tools.
Best Practices among Users who’ve deployed Hadoop
18. #TDWI SURVEY: Why adopt #Hadoop4BIDW? Scale, augment DW, new #analytics, low cost, diverse data types.
19. #TDWI SURVEY: Job titles of #Hadoop4BIDW workers: data developer, architect, scientist, analyst.
20. Organizations surveyed with #Hadoop in production average 12 clusters; median is 2.
21. Orgs surveyed with #Hadoop in production average 45 nodes per cluster; median is 12.
22. Orgs surveyed with #Hadoop in production manage a few TBs today but expect ~.5PB within 3yrs.
23. Orgs surveyed with #Hadoop in production mostly load it via batch every 24 hrs.
24. #TDWI SURVEY: Worst #Hadoop functions: security, admin tools, namenode, data quality, loading, dev tools.
18. #TDWI SURVEY: Why adopt #Hadoop4BIDW? Scale, augment DW, new #analytics, low cost, diverse data types.
19. #TDWI SURVEY: Job titles of #Hadoop4BIDW workers: data developer, architect, scientist, analyst.
20. Organizations surveyed with #Hadoop in production average 12 clusters; median is 2.
21. Orgs surveyed with #Hadoop in production average 45 nodes per cluster; median is 12.
22. Orgs surveyed with #Hadoop in production manage a few TBs today but expect ~.5PB within 3yrs.
23. Orgs surveyed with #Hadoop in production mostly load it via batch every 24 hrs.
24. #TDWI SURVEY: Worst #Hadoop functions: security, admin tools, namenode, data quality, loading, dev tools.
BI/DW Tools etc. Integrated Today & Tomorrow with Hadoop
25. #TDWI SURVEY: BI/DW tools commonly integrated with #Hadoop: #analytics, DWs, reporting, webservers, DI.
26. Other BI/DW tools integrated with #Hadoop: analytic DBMSs, #DataViz, OpApps, marts, DQ, MDM.
27. #TDWI SURVEY: Machinery (13%) & sensors (8%) are seldom integrated w/#Hadoop today, but coming.
Want to learn more about big data and its management?
Take courses at the TDWI World Conference in Chicago, May 5-10, 2013. Enroll online.
For a more detailed discussion – in a traditional publication! – get the TDWI Best Practices Report, titled “Integrating Hadoop into Business Intelligence and Data Warehousing,” which is available in a PDF file via a free download.
You can also register online for and replay my TDWI Webinar, where I present the findings of the TDWI report “Integrating Hadoop into BI/DW.”
Philip Russom is the research director for data management at The Data Warehousing Institute (TDWI). You can reach him at prussom@tdwi.org or follow him as @prussom on Twitter.
25. #TDWI SURVEY: BI/DW tools commonly integrated with #Hadoop: #analytics, DWs, reporting, webservers, DI.
26. Other BI/DW tools integrated with #Hadoop: analytic DBMSs, #DataViz, OpApps, marts, DQ, MDM.
27. #TDWI SURVEY: Machinery (13%) & sensors (8%) are seldom integrated w/#Hadoop today, but coming.
Want to learn more about big data and its management?
Take courses at the TDWI World Conference in Chicago, May 5-10, 2013. Enroll online.
For a more detailed discussion – in a traditional publication! – get the TDWI Best Practices Report, titled “Integrating Hadoop into Business Intelligence and Data Warehousing,” which is available in a PDF file via a free download.
You can also register online for and replay my TDWI Webinar, where I present the findings of the TDWI report “Integrating Hadoop into BI/DW.”
Philip Russom is the research director for data management at The Data Warehousing Institute (TDWI). You can reach him at prussom@tdwi.org or follow him as @prussom on Twitter.
Posted by Philip Russom on April 12, 2013
Research Director for Data Management, TDWI
original source : http://tdwi.org/Blogs/Philip-Russom/2013/04/Integrating-Hadoop-into-BIDW-in-27-Tweets.aspx
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