Data Engineering & Analytics Practice

Data Engineering & Analytics Practice

Untangle your data, Connect the dots, Capture the opportunity

Companies today generate a significant amount of data that needs to be organized, processed and optimized to draw insights that drive business decisions. Our qualified and experienced Data Engineers build high-performance infrastructure, implement efficient cleansing processes, optimize data and extract actionable insights to help achieve your business goals.

Data Engineering System

ETL or ELT? What is the ideal Data ingestion strategy for your business?

Our Data Engineering Services include

Data Engineering Consulting

Data Engineering Consulting

Terabytes and Petabytes of Data is generated everyday from IoT Sensors, eCommerce sites, social media, CRM and TMS platforms which provide insightful patterns & trends. We assess your current state of data collection, operations, and strategic needs and implement automated pipelines for data collection, storage, and analysis. Our consultants will present and implement solutions that produce deep and actionable insights that can redefine your organization and even help you disrupt the market.

Our consultancy services will focus on:

  • A unified data strategy that is aligned with your business goals
  • Data architecture & model development
  • Data collection, preparation, and ingestion (choice of ETL vs. ELT)
  • Selection of tools, technologies, and cloud platforms
  • Automated Data pipelines
  • Data governance & security
Cloud Data Platform Architecture

Cloud Data Platform Architecture

Data Pipelines

Our architecture will integrate new and existing data sources together into an effective data lake either from scratch or leveraging services provided by major cloud platform vendors. Transform data from your existing systems into intelligence that enables you to ask questions, discover new opportunities that drive progress. Implement upstream and downstream ETL pipelines for batch processing or real-time processing.

Data Lakes

Ingest data from all sources into scalable Data Lakes. We assess and architect the ideal cloud architecture for your business across major providers like AWS Redshift, Microsoft Azure, Snowflake, and Google BigQuery.

Data lakes and Data WareHouses (DWH) aggregate data in different ways. Data warehouses structure and package data for quality, consistency, reuse, and performance. Data lakes complement warehouses and focus on original raw data fidelity, structured for analytical agility.

DataOps Services

DataOps Services

Our accelerators reduce time to operationalize modern data platforms on the cloud. They cover all aspects of Data Ops, which include ingesting data from multiple sources, provisioning data for insights, smart catalog, data quality, testing and deployment. Automation of DataOps improves availability, accessibility, and integration of data bringing people, processes, and technology together for reliable and high-quality data to all stakeholders.

DataOps is more than DevOps in data analytics. DevOps combines software development and IT operations to ensure continuous delivery, while DataOps includes data analysts, data scientists, and data engineers in the process. This ensures greater collaboration in the development of data flows resulting in transformation of analytics models and intelligence systems.

Data Visualization & Insights

Data Visualization & Insights

Trigent combines its domain knowledge and versatile technology solutions to transform your data into clear and actionable recommendations. Create insightful reports and dashboards visualization to drive business growth using Grafana, PowerBI, Tableau, Google Charts and Looker.

Our data visualization solutions support a variety of data formats and structures. See patterns in your business activities, connect the dots, identify emerging trends and turn your data into intuitive and informative charts and graphs. Simplify the process of making data-driven decisions and improve communication of business insights to your employees and clients.

Transform the 'Data Swamp' and extract actionable insights

Our technology tool stack

Cloud Platforms

AWS

Google Cloud Platform

Microsoft Azure


Cloud Toolset

kubernetes

docker

terraform

Redshift

Kinesis

SageMaker

EMR

Glue

Lake Formation

BigQuery

Dataflow

Looker

Cloud Data Fusion

Databricks

Data Lake Storage


Opensource

Apache Beam Dataflow

Apache Flume

Apache Kafka

Apache Spark

Elastic Search

MapR

Hortonworks

Cloudera

MongoDB

Casandra


Programming

Python

Perl

Java

JavaScript

Go

REST APIs

GraphQL


Visualization

Grafana

PowerBI

Tableau

Google Charts

Looker

Time to learn