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Grids of various services

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Cloud databases
File backups
Email servers
File storage
ECommerce
Remote desktop

Information Architecture
User Experiences
App Development
User Interface

10

Years Of Experience

How we work?

Programming Languages

Programming skills are critical when developing big data platforms. The more you know, the easier it becomes to implement the right solution. Our programmers master languages such as Java, Scala, Go, Python, Kotlin, and C++.

Frameworks

As time goes by, companies collect enormous amounts of data. Our devs use the following frameworks that help them structure and prepare this data: Spring, Apache Spark, Apache Beam, Flask, and Akka.

Infastructure

When we talk about big volumes, wide variety, and high velocity of data, the infrastructure will “make or break” the implementation. Our team works with: Kubernetes, Docker, Terraform, Terragrunt, Ansible, Puppet, and Xen.

Databases & Storage

Our engineers also have broad experience with various technologies such as: Cassandra, BigQuery, Hive, MongoDB, Solr, Elasticsearch, OracleDB, PostgreSQL, Redis, HDFS, GCS, Amazon S3, and GlustersFs.

Processing & Pipelines

The volume and velocity of data have grown in recent years. So, technologies have had to adapt to the new reality. Our architects master big data tools such as Apache Spark, Kafka, Cloud Pub/Sub, MQTT, Airflow, Ozie, Apache NiFi, and Sqoop.

Methodologies

You couldn’t build a city with a single tool. Nor could you enable your dev practice with one. Microservices, CI / CD, TDD, and Agile Scrum are four distinctive work methodologies used by our team when it comes to complex big data projects.

Expertise

Our experts own the skills to ensure successful completion of big data projects, including AI / ML, Cloud, or IoT areas. We have experience working with on-premise environments, using Hadoop platform, as well as with GCP, Azure, or AWS, which puts us in a position to manage any project, regardless of its complexity.

Modern Cloud Data Platform Solutions

Building efficient and scalable data platform for real-time and streaming data ingestion and management for driving data-centric business outcomes and actionable insights

Let's work together

Our Big Data Service Capabilities

1 Data Ingestion

Our capabilities help discover potential sources of data and build a robust Data Ingestion mechanism to collect, ingest, and manage multiple data sources.

2 Data Storage

Our Data Storage experience includes engineering scalable data warehouses and data lakes to efficiently store and retrieve data.

Proficiency in databases, multiple tech stacks, and database models such as Graph, Search, Columnar, and Timeseries ensure that we choose the best available solution to suit your use case to make data available fast and in the right format.

3 BI & Analytics

Business also leverages our BI and Analytics capabilities to build interactive and self-service dashboards to consume and visualize their data to derive insights for enhanced decision making.

We leverage popular BI platforms or custom make them to suit the organization’s needs.