Big data technology
Big data technology
Big Data Technology
What is
Big Data Technology?
In the midst of a revolution driven by data engineering, researchers estimate that every person on earth is generating approximately 1.7 MB of data per second! Today, only 0.5% of accessible data is analyzed and used, as per the MIT Technology Review. This tremendous gap is a boon in disguise for big data technology, services, and advanced data analytics.
Moreover, the Big Data market revenues for software and services are expected to reach $103 billion in 2027. It is no surprise that a survey found that 79% of executives think that companies that do not embrace Big Data analytics, solutions, and strategies may face extinction.
Nitor is proud to capitalize on the tremendous potential that Big Data engineering tools and technology can offer.
In the midst of a revolution driven by data engineering, researchers estimate that every person on earth is generating approximately 1.7 MB of data per second! Today, only 0.5% of accessible data is analyzed and used, as per the MIT Technology Review. This tremendous gap is a boon in disguise for big data technology, services, and advanced data analytics.
Moreover, the Big Data market revenues for software and services are expected to reach $103 billion in 2027. It is no surprise that a survey found that 79% of executives think that companies that do not embrace Big Data analytics, solutions, and strategies may face extinction.
Nitor is proud to capitalize on the tremendous potential that Big Data engineering tools and technology can offer.
Big Data &
Advanced Analytics
at Nitor
Our experts use robust conceptual models to extract insights and answer four key questions
- How to adopt Big Data strategy?
Derive important insights using advanced statistical analysis or data processing
- How to build customer satisfaction with Big Data?
Personalize your customer experience with fruitful and accurate insights to enhance customer satisfaction
- How to leverage Serverless Big Data application on AWS?
Perform real-time stream processing of multiple data types without needing to spin up servers or install software, via big data applications
- Why do you need Managed Big Data services?
Increase business efficiency and reduce risk by harnessing the power of data with Managed Big Data
Our experts use robust conceptual models to extract insights and answer four key questions
- How to adopt Big Data strategy?
- How to build customer satisfaction with Big Data?
- How to leverage Serverless Big Data application on AWS?
- Why do you need Managed Big Data services?
Derive important insights using advanced statistical analysis or data processing
Personalize your customer experience with fruitful and accurate insights to enhance customer satisfaction
Perform real-time stream processing of multiple data types without needing to spin up servers or install software, via big data applications
Increase business efficiency and reduce risk by harnessing the power of data with Managed Big Data
Big Data Technology Offerings for your Business Needs
Our experts work with you during your entire Cloud journey to offer Big Data engineering services and build a customized roadmap so you can reap the benefits of our data and analytics solutions. Following is our proposed architecture, along with technology options, that provides a basis for the deployment of Big Data engineering services:
Our experts work with you during your entire Cloud journey to offer Big Data engineering services and build a customized roadmap so you can reap the benefits of our data and analytics solutions. Following is our proposed architecture, along with technology options, that provides a basis for the deployment of Big Data engineering services:
Data Extraction
Retrieve data from disparate data sources (database/SaaS platforms) in order to replicate it to a set destination or data warehouse
Retrieve data from disparate data sources (database/SaaS platforms) in order to replicate it to a set destination or data warehouse
Data Ingestion
Ingest and enrich constant streams of data from heterogeneous sources like web/mobile apps and wearables, for a unified view of your data
Ingest and enrich constant streams of data from heterogeneous sources like web/mobile apps and wearables, for a unified view of your data
Data Storage
Store raw data in a cost-effective data lake. Refine and transfer it to a secure, optimized data warehouse
Store raw data in a cost-effective data lake. Refine and transfer it to a secure, optimized data warehouse
Data Cleansing
Refine raw data in data lakes before transferring to data warehouses. Conduct data cleansing procedures with our Data LEGO framework
Refine raw data in data lakes before transferring to data warehouses. Conduct data cleansing procedures with our Data LEGO framework
Database Modelling
Organize data in your optimized database. Eliminate data siloes and resolve reporting challenges. Create models for business problems. Decide schema on write/schema on reading strategy across various data sources/sinks
Organize data in your optimized database. Eliminate data siloes and resolve reporting challenges. Create models for business problems. Decide schema on write/schema on reading strategy across various data sources/sinks
BI Analytics
Process data quickly and deliver automated, intelligent insights with sophisticated algorithms using the refined warehouse data
Process data quickly and deliver automated, intelligent insights with sophisticated algorithms using the refined warehouse data
Advanced Analytics
Employ proven ML-based techniques to predict trends and detect potential threats, with the freedom to scale as you grow
Employ proven ML-based techniques to predict trends and detect potential threats, with the freedom to scale as you grow
Business Rule Configuration
Configure unlimited, customized business rules through a data pipeline, and transform the data for your required business rule configuration
Configure unlimited, customized business rules through a data pipeline, and transform the data for your required business rule configuration
Data Access Layer
Build an API layer to securely access data which acts as a decoupled, language-agnostic data/functionality interface to applications
Build an API layer to securely access data which acts as a decoupled, language-agnostic data/functionality interface to applications
Data Science
Write sophisticated algorithms that extract the maximum possible meaning from data and are critical to solving business problems
Write sophisticated algorithms that extract the maximum possible meaning from data and are critical to solving business problems
Data Engineering
Address the volume, velocity, value, variety, and veracity of data to derive utility from the insights provided by data scientists
Address the volume, velocity, value, variety, and veracity of data to derive utility from the insights provided by data scientists
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