Recently we have been getting lots of traction on BICS , existing OBIEE customers been asking for BICS . In nutshell :
BI Cloud Service enables organisations of all sizes to quickly and cost effectively deploy business intelligence with the simplicity of the cloud..
Silent features of BICS :
- No need of software installation
- No need of software maintenance
- No upfront costs, low monthly subscription
- Customers can get started in hours
- 100% cloud based
- Robust reporting (more...)
With my recent role as CTO/Advisor with www.analytos.com, during most of my conversation with Analytics leaders within the company, all are concern over security. At a recent conversation with another entrepreneur friend, one of his solution was stalled due to SQL injection issue on the cloud ( a valid concern , but is it valid ?) .
During my recent startup sting, cloud Allergy word was coined, and it did make sense, because allergies do exist and (more...)
While surfing net stumbled upon Big Data Landscape for 2016 image and it was very impressive to see many more new Animals in Big Data Zoo.
Hope This Helps
Sunil S Ranka
There is no question that massive data is being generated in greater volumes than ever before. Along with the traditional data set, new data sources as sensors, application logs, IOT devices, and social networks are adding to data growth. Unlike traditional ETL platforms like Informatica, ODI, DataStage that are largely proprietary commercial products, the majority of Big ETL platforms are powered by open source.
With many execution engines, customers are always curious about their usage (more...)
Recently while working with a customer we ran into an interesting situation concerning file compression and processing time. For a system like Hadoop, file compression has been always a good way to save on space, especially when Hadoop replicates the data multiple times.
All Hadoop compression algorithms exhibit a space/time trade-off: faster compression and decompression speeds usually come at the expense of space savings. For more details about how compression is used, see https://documentation.altiscale. (more...)
Recently we had one requirement wherein we had to merge the files post Map and Reducer job. Since the file needed to be given to the outbound team outside of Hadoop development team, having these files on local system would have been ideal. The customer IT team worked with cloudera and gave us a mount point using a utility/concept called “mountableHDFS” aka FUSE (Filesystem in Userspace) .
mountableHDFS, helps allowing HDFS to be mounted (more...)
During one of the sizing exercise the ask for server capacity was more than the actual usage of cluster . Knowing the data and usage, I was not convinced that we should be asking for more memory space. That triggered the thought of
Conceptually FSIMG file is the balancesheet of all the file and their existence and location. If somehow we could read the metadata withing the file and make sence out of it, than it could help (more...)
Permission issues is one of the key error , while setting up Hadoop Cluster, while debugging some error found below table on http://hadoop.apache.org/ . It’s a good scorecard to keep handy.
Permissions for both HDFS and local fileSystem paths
The following table lists various paths on HDFS and local filesystems (on all nodes) and recommended permissions:
Hi Fellow Big Data Admirers ,
With big data and analytics playing an influential role helping organizations achieve a competitive advantage, IT managers are advised not to deploy big data in silos but instead to take a holistic approach toward it and define a base reference architecture even before contemplating positioning the necessary tools.
My latest print media article (5th in the series) for CIO magazine (ITNEXT) talks extensively about need of reference architecture in (more...)
As Hive metastore is getting into the center of nervous system for the different type of SQL engines like Shark and Impala. It getting equally difficult to distinguish type of table created in Hive metastore. Eg. if we create a impala table using impala shell you will see the same table on hive prompt and vice versa. See the below example
Step 1 : “Create Table” in Impala Shell and “Show Table” (more...)