Welcome!

@CloudExpo Authors: Yeshim Deniz, Elizabeth White, Zakia Bouachraoui, Pat Romanski, Liz McMillan

Related Topics: @CloudExpo

@CloudExpo: Article

Big Data – The State of Affairs

Big Data is here to stay, but do we have the tools to efficiently process it?

Many products are available as open source or proprietary products that can handle Big Data. Which one is best fit for this task?

Today's classic RDBMSs and tools are able to quickly load the data, process it and present results in an easy to understand format.  You can use SQL or programmatic interface to process the data randomly or in batch; RDBMS's keep data safe, protected against hardware and software failures.

Standards tools and products are not able to cope with Big Data requirement, which is not dissimilar to  what is involved in processing today's regular data sets, just on a much bigger scale. Mainstream companies like telcos, financials, web companies as well as government are reaching the limit of what  can be efficiently processed by classic RDBMS techhnologies.

When it comes to picking a proper platform and tools to handle your Big Data there are a couple of possible choices:

  • Oracle Exadata - it doesn't fit economical mandate; Exadata's weak link and bottleneck is its reliance on classic Oracle RDBMS
  • NoSQL databases -  too immature, they offer no SQL or similar random access query language ( you are presently forced to write  programs to access your data ); often achieve scale-out by not implementing all elements of ACID, CAP
  • Hadoop/MapReduce and related open source ecosystem ( Pig, Hive, HBase ) -  useful for cheap data storage on commodity hardware and batch processing; they offer no efficient, non-programmatic random access
  • proprietary MPP databases running on commodity hardware ( Vertica, Aster Data, Greenplum )  - very fast and can provide random, SQL  access to big data; their management features and general feature sets are immature
  • proprietary MPP databases running on specialized hardware ( Teradata ) - fairly expensive ( don't run on commodity hardware )
  • new platforms that will or are trying to emulate Google Percolator, Dremel  ( latest Google technologies dealing with big data ACID compliant transactions and reporting ), similarly to how Hadoop originated from  Google GFS and MapReduce.

We would say that there is no single, generic product or platform available today that can handle this task. Depending on your needs you have to deploy  and combinne quite a few of technologies to bring you closer to achieving end-to-end efficient, comprehensive processing of Big Data. You will quite likely have to custom build solutions that will fit your particular needs as off-the-shelf solutions are still immature, incomplete or not available.

Big Data is an area of growth and innovation, so current picture is bound to change as new products and technologies appear, bringing us closer to the ultimate goal of routine, efficient processing of Big Data.

More Stories By Ranko Mosic

Ranko Mosic, BScEng, is specializing in Big Data/Data Architecture consulting services ( database/data architecture, machine learning ). His clients are in finance, retail, telecommunications industries. Ranko is welcoming inquiries about his availability for consulting engagements and can be reached at 408-757-0053 or [email protected]

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing & deploying sophisticated business applications with unprecedented ease and simplicity.
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
DevOps has long focused on reinventing the SDLC (e.g. with CI/CD, ARA, pipeline automation etc.), while reinvention of IT Ops has lagged. However, new approaches like Site Reliability Engineering, Observability, Containerization, Operations Analytics, and ML/AI are driving a resurgence of IT Ops. In this session our expert panel will focus on how these new ideas are [putting the Ops back in DevOps orbringing modern IT Ops to DevOps].
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.