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So far ExcelDev has created 21 blog entries.

Big Data Appliances – good or bad?


We saw in the last week that Teradata has updated their Big Data Appliance it can now ship with Cloudera and has had Hortonworks available for some time. http://ht.ly/PFrgV Although Appliances are appealing for simplicity, ease of management, lots of testing done by the vendor(s) and should work more or less out of the box, [...]

Big Data Appliances – good or bad?2017-11-14T23:48:41+00:00

Spark and Hadoop – replace or complement?


I recently read a survey report from Typesafe of 2,136 respondents who were asked about Spark vs Hadoop. You can see the report here for yourself (registration required) https://info.typesafe.com/COLL-20XX-Spark-Survey-Report_LP.html?lst=RW&lsd=COLL-20XX-Spark-Survey-Trends-Adoption-Report The most interesting part of the report for me was that 78% of respondents were using Spark for fast processing of BATCH data sets! Think about [...]

Spark and Hadoop – replace or complement?2017-11-14T23:47:20+00:00

The Internet of Things and Big Data


We are seeing increasing interest from a number of clients in IoT. While it's still more of a hype phrase than reality there are a number of Organizations that can point to real success with IoT and Big Data. One of them is Transport for London who use heir thousands of sensors in their [...]

The Internet of Things and Big Data2017-11-14T23:47:16+00:00

Hadoop and Big Data no longer runs on Commodity Hardware


I have spent the last week and will be spending this week in México, meeting with clients, press and partners. It's been a great experience with a lot of learning opportunities. During these discussions I have been struck by the perception that Hadoop runs on 'commodity hardware'. Clearly this was the case around 2 [...]

Hadoop and Big Data no longer runs on Commodity Hardware2017-11-14T23:47:10+00:00

Big Data and Security – still a problem?


When we talk to clients about Big Data it's often assumed that there is a strong security infrastructure in place to secure all that data either at rest or in motion. While that assumption is starting to be true it's important to understand where the Hadoop Eco-system is strong in security and where there [...]

Big Data and Security – still a problem?2017-11-14T23:45:22+00:00

Hadoop Distributions – do we care which one to use?


It's almost 9 months since Hortonworks went public and Cloudera continue to provide some insight into their growth. Along with MapR, IBM and Pivotal (EMC), Amazon's Hadoop offerings and straight Apache Hadoop, we can get a pretty clear picture of how each distribution is doing. Of course this is Open Source (mostly), so each Distribution [...]

Hadoop Distributions – do we care which one to use?2017-11-14T23:45:11+00:00

Spark / Cloudera One Platform initiative – important? Maybe…probably


Last week Cloudera announced the One Platform initiative  http://vision.cloudera.com/one-platform/ . This is an interesting development -  we know that Spark replaced Hadoop as the most popular Apache project and that Cloudera first backed SPark publicly over a year ago.  (Hadoop still has more committers though (https://projects.apache.org/projects.html?number) . In making the announcement Cloudera also confirmed the [...]

Spark / Cloudera One Platform initiative – important? Maybe…probably2017-11-14T23:43:11+00:00

Don’t believe the (Big Data) hype?


Two Gartner reports recently about Big Data Your Big Data projects will fail and here's why http://ht.ly/Sj41q (ZDNet Summary) Big Data ROI remains elusive http://ht.ly/Sj41q (ZDNet summary). Both reports and summaries try to inject a dose of reality into Big Data adoption. I don't plan to summarise them here, (ZDNet already did that...) but I notice two important [...]

Don’t believe the (Big Data) hype?2017-11-14T23:43:26+00:00

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