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Home » Services » Engineering » Big Data
Open source, scalable platforms to gather, consume, and handle various data sources.
Set up stream or batch processing to process real-time or historical data depending on your data ecosystem.
Create self-service and interactive dashboards. Enterprise Intelligence
Create data lakes and warehouses to store and retrieve data in an effective manner.
We can identify suitable data sources and create a strong data ingestion system to gather, ingest, and manage various data sources with the use of our expertise.
Our Data Storage experience includes engineering scalable data warehouses and data lakes to efficiently store and retrieve data.
Our skilled data engineering teams create Data Pipelines with built-in quality checks to process stream (real-time) or batch (historical) data in order to manage the volume, diversity, and velocity of data.
Business utilizes our BI and Analytics capabilities to create self-service, interactive dashboards that allow them to consume and visualize their data and gain insights for better decision-making.
Our artificial intelligence expertise enables the company to create unique models to facilitate automated decision-making.
In order to build up extensive data management, we collaborate with clients. Our engineers have practical experience building petabyte-scale data lakes and warehouses leveraging the most recent technological advancements.
Texplorer's Business Intelligence & Analytics practice assists stakeholders in gaining knowledge from data. Our big data teams assist with setting up corporate search, designing real-time visualization of data streams, and creating bespoke dashboards.
Our data scientists assist businesses with model validations, feature engineering, data analysis, and the creation of unique intelligence platforms. By using data to better understand their customers, streamline operations, and find new business prospects, our clients make use of our data science approach.
We assist companies in developing individualized AI solutions to derive useful information or automate decision-making. We work with businesses to develop NLP modeling, robotic process automation, and deep learning models.
Big Data Engineering is automated, and agile development approaches are used, thanks to our DataOps services. We introduce efficiency throughout the entire data lifecycle to enhance data integration and quality, ultimately dismantling silos that occur across distinct lifecycle units.
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