Announcing Splunk ODBC Driver
Most people using Splunk Enterprise today would probably agree that they’re getting valuable insights from the machine data their applications, technology and devices continuously generate. Splunk helps thousands of organizations use their data to drive higher service uptime, prevent cyber-security attacks and drive completely new and valuable insights for their business.
IT teams know the value of machine data and leverage it every day, but what about the other users in your organization. How do you share that data with them, without always being the go-to guy? What about users in your organization that are already using an analytics tool such as Microsoft Excel or Tableau Desktop? How can they start leveraging the data in Splunk Enterprise, without asking IT …
How to Stream Internet of Things Data into Splunk in Ten Easy Steps!
Inspired by Discovered Intelligence’s blog post “How to Stream Twitter into Splunk in 10 Simple Steps” last week, I began thinking about a simple Internet of Things example where we could demonstrate an easy integration of IoT platforms and data into Splunk that everyone could access. There are plenty of great examples of Internet of Things services we could poll with the REST modular input, but for this example we will be building a quick integration with LogMeIn’s Xively service using their “Test Drive” tutorial.
Business analytics, jam and social media – an eclectic but interesting mix
Happy Monday everyone. I spent an hour on Friday attending the Gartner Business Intelligence Tweetjam. You may be disappointed to hear it wasn’t a 140 character discussion of the merits of strawberry vs. apricot or the right amount of sugar and fruit. The Tweetjam took the format of a high-speed Q & A session around Business Intelligence with Gartner analysts and people interested in the topic.
What I found most valuable was the breadth of topics we managed to get through in an hour. Also, the obvious limitation in terms of what you could write meant that answers were thought through, concise and captured the key points very well. You can go back and see the full conversation by looking …
Further Simplifying Big Data Analytics
In the past we’ve talked about simplifying big data analytics and the 80:20 rule for data analysis. Most organizations spend 80% of analytics efforts running and optimizing the business and 20% on advanced analytics, which includes advanced data mining, algorithm development and advanced predictive modeling.
Hadoop has seen very good adoption for big data analytics, specifically batch analytics for large datasets, and many organizations have initiatives to use it for advanced analytics and optimizing the business. Unfortunately, those organizations are struggling to derive value from their Hadoop implementations. They’re finding that analysis takes too long and requires specialized talent. Another issue is that getting data into Hadoop is difficult, getting meaningful analysis even more challenging.
In the past few months, …
Think Beyond Application Monitoring
Are you going to be at .conf? If not, you should be. Don’t miss the opportunity to listen to Justin Hardeman from Availity, a leading health information network, where he discusses how his organization uses Splunk for proactive monitoring and business reporting. In this session, he illustrates how Splunk has helped his organization gain visibility, analytics and intelligence on their applications, infrastructure and business with proactive monitoring and rich analytics. Join Justin at his session “Think Beyond Application Monitoring”, speak to him (and the Splunk team if you want!) and learn about how he has been able to drive enterprise adoption of Splunk.
Where: The Cosmopolitan Hotel, Brera 2&3
Time 2:45 pm – 3:45 pm…
I invested in a shiny new tool/technology…
You hear this quite often. We all love to share the excitement of a new purchase – be a new car or a new gadget. Feelings from purchasing a new software are no different. Organizations tout on their investment in a new tool or technology, soon to realize that they have not achieved the full value or benefit from their investment. There is a perception that investment in tools/technology is the answer to all the problems. Well that is just the beginning for solving the problems. There are two important questions that I tend to ask:
1) Was your selection the best for solving the problem you were aiming to solve?
2) Have you invested the right resources or …
Forecasting Cloud Analytics
Looking forward to being on a panel at the upcoming Cloud Analytics Conference on April 25 to represent Splunk and opportunity of mining big data for the enterprise. Will be contrasting Business Intelligence with Operational Intelligence.
During my career I’ve been around for the dramatic growth of the market for BI tools and now BI services. In the beginning of the BI era, large capital projects were necessary to deliver needed functionality, as the industry for BI was still reaching maturity, and it would be some time before these processes were made more streamlined, and the data democratized. At this point, in the new millennium, the majority of CIO’s I know embrace BI solutions that are pre-integrated to their …
Semantics and Machine Data
One of the first and most beloved series of dashboards used at Splunk internally were created by R&D and product management teams, deriving a number of statistics from the downloads of Splunk software from our website. The apache log provided the primary raw information for these dashboards, which were enriched and used to show download activity globally, by version, platform, and by country, and geo. These have been the business analytics used to gain insight into the distribution of our products around the world.
Since taking on the new roll out of Splunk internally, the IT team has been working to set up a series of charts that focus more on operational metrics – the up time of the service, …