Big Data
For Big Data Services
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For Big Data Services
Get in touch with us
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With NextBrick big data analytics consulting services, you can make faster decisions and move closer to a data-defined process. Our big data consulting company experts advise the best approach for big data solutions based on your requirements.
- Bigdata meaning a data that is huge in size.
- Bigdata is larger, more complex data sets, especially from new data sources.
- Bigdata is a term used to describe a collection of data that is huge in size and yet growing exponentially with time.
- Bigdata refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.
- Bigdata refers to a large volume of both structured and unstructured data.
- Bigdata is classified in three ways: Structured Data. Unstructured Data. Semi-Structured Data.
- Bigdata is best described with the six Vs: volume, variety, velocity, value, veracity and variability.
NoSQL Databases
- mongo DB
- Cassandra
Data Storage
- Hadoop
- Spark
Search
- Elastic Search
- Solr
The volume of data is growing at a pace that many companies struggle to keep up. With such a staggering volume of data, we need proper systems to organize and work with this data. Our big data support services are capable of handling any size and scale of data to find answers that your company can utilize.
~ Our Clients ~
~ Testimonials ~
Here’s what our customers have said.
Empowering Businesses with Exceptional Technology Consulting
"Nextbrick was able to quickly understand our Solr search requirements and provided a comprehensive solution for us. Ordinarily, having a third party provide development services with our e-commerce platform can be a challenge, but they easily managed our environment and seamlessly collaborated with our website partner. Overall, I was very pleased with their value."
"As I stated, we have a group of contractors from Nextbrick who we would like to reward for going above and beyond the call of duty and putting in extremely hard work in launching a successful summer release here at CSAA. We would like to reward the team."
"Just want to take this opportunity to thank you guys for the great job done! The core idea behind this project was to show that ES can truly be used for real time updates and how quickly we can model the data across complex tables in our source system. Your work is definitely commendable. Also, the demo was seamless and very clearly articulated."
