Big Data Services

We Turn Data into a Valuable Business Asset

Enter Big Data

With more than a decade of experience, Romexsoft can deliver actionable insights for you to take respective business decisions and move your company forward. Our big data services will help you stay ahead of the competition, take away the guesswork out of your consumer-driven decisions, propel your revenue growth and improve the overall operations efficiency.

Only 23% of enterprises manage to make use of just the three quarters of all the Big Data at their disposal. You can scrutinize and analyze your customers, revenues, and operations by hand all you want. But if you lack systems to operationalize all that raw data, and your current tools can’t uncover the full picture – there is a great chance you won’t be able to reach your business goals as quickly as your competitors, who do take advantage of the big data insights. We at Romexsoft could help your organization to make data-driven decisions at a moment’s notice.

Reach out to a Big Data Consultant

Services We Offer

Big Data Analytics

Execute your analytical workloads at petabyte scale

Stream Processing

Build scalable fault-tolerant streaming applications

Data Visualization

See-through your data, Build dashboards, Visualize your KPIs to help your business

Optimization & Support

Reduce your end-of-month check on infrastructure

Data Integration

Collect data from various data sources

Batch processing
Real-time streaming data processing

Process structured data

Process your streaming data incrementally and continuously to compute business decisions real-time
Process multiple streams of data in parallel

Big Data Warehousing

Build cost-effective and scalable Big Data warehousing

Platform Design and Strategy

Organize your data around your needs
Identify various sources of structured and unstructured data
Define valuable business cases
Implement analytics frameworks
Implement custom dashboards and alerts

What is Big Data?

Earlier in the day, companies like Google, Yahoo, Facebook, and LinkedIn discovered the need of developing specific approaches for working with data at a bigger scale, which gave birth to particular programming models and toolsets. Nowadays, almost all of the middle- to big-sized businesses can benefit from applying Big Data methodologies.

The classical definition of Big Data is emphasized in the so-called 3 Vs of Big Data:

Volume – when you have a big amount of data to store and/or process – on the Tera/Peta/..-byte scale.
Velocity – when the speed of processing and sub-second latency from ingestion to serving matters.
Variety – when you have a lot of metadata to manage and govern – imagine a relational database with thousands of tables of thousands of columns to catalog, and manage accesses to.

Big Data Analytics as a Service for Business Intelligence

Apache Spark is a powerful and robust cluster computing tool, which its users access to:

Parallel data processing on multiple computers in clusters, meaning skyrocket delivery speed.
Working with any type of data storage – from file systems and SQL databases to various real-time streams coming from multiple sources. You simply share the access to your data – and we can start analyzing it instantly.
Spark’s encapsulation of powerful AI algorithms that run their Machine Learning module allows distributed data processing, and functions seamlessly with real-time data operations.

If you have piles of data, our DSaaS team will prepare it for the analysis, run the algorithms and present their findings whenever you need them.

Why do you need Big Data Analytics for your business?

Helps your organization to make data-driven decisions
Builds a unified analytics platform
Integrates all your data sources into a single pipeline and storage layer
Grows your current data warehouse beyond its limits
Saves money on infrastructure in your end-of-the-month bill

Our Big Data Expertise for Industries

We offer DSaaS Solutions and Big Data consulting services for the following Industries:

IoT
E-commerce
Finance and Insurance
Healthcare
Media & Broadcasting – News Portals included
Telecommunications
Travel and Transportation
Manufacturing
AdTech
Renewables
And more

Tools & Frameworks

Open-source stack

Hadoop – the baseline of the BigData world, HDFS
Spark – state-of-the-art unified analytics platform
Kafka – industry-standard messaging & data integration platform
ElasticSearch – scalable full-text search engine
Zookeeper – synchronization point for all the “zoo” of BigData
Presto – centralizes your analytical workloads
MemSQL – real-time in-memory relational database
Tableau – industry standard for BI
Storm – an old one, but hell of a stable streaming framework

AWS stack

S3 – Amazon Simple Storage Service
EMR – managing Hadoop & Spark workloads
Redshift – lightning-fast analytics at the petabyte-scale
Athena – the entry point to your big-data warehouse
Glue – managed ETL service
QuickSight – visualizes your data while seamlessly integrating with other AWS native services
Kinesis – AWS native data streaming