Enterprises having a constant need for faster and efficient access to data and analytics at their fingertips have fueled the rise of data lakes usage. Raw data available in native formats stored in repositories often create roadblocks for faster insights.
With the advent of enterprise data lakes, enterprises have seen a multitude of benefits, including:
The Saxon Value In Creating Data Lakes
Saxon provides next-gen hybrid data management services that meet your big data challenges alongside achieving new levels of real-time analytics. Creating an enterprise data lake is just the first step. The key is unlocking maximum ROI by the practical application of data lakes in business use cases. Using Saxon’s expertise, searching, analyzing, and deriving insights from the lake’s massive structured and unstructured data is made easy.
Our Data Lake Services
Support and maintenance
As your trusted data and analytics partners, we deep dive into the process of ensuring the best of reporting, visualization, data storytelling, and much more to support your organizational data needs. Establishing the right analytics-based maintenance strategy and support mechanism is the appreciated aspect of our overall support and maintenance service. While our key frameworks handle Data provisioning and data management aspects, our support mechanism includes adequate data consumption eliminating unused dashboards and clutter.
End-to-End Data Lake Implementation
We are adept at dealing with end-to-end architecture implementation from varied data ingestion, i.e., structured, unstructured, and semi-structured data, to data storage, data preparation, data governance, data discovery, and security. Data lakes, ingestion pipelines, cloud platforms, and data integration for structured and unstructured data is our forte. Reducing operational costs, bringing untapped organizational knowledge to light, facilitating intelligent decision-making, enhancing bottom lines, and new product development forms the building blocks of our delivery approach.
Data Lake Migration
Migrating a data lake, a repository for both structured and unstructured data, isn’t necessarily a game of data movement only. With the proliferation of data every minute, data migration has to deal with data value and quality, eliminating duplicates, revaluating historical data, etc. We are here to enable data lake migration from the on-prem data lake to the public cloud, or the other way round as per business needs retaining or enhancing both value and quality.
Data Lake Analytics
With the ability to store, process, and blend large amounts of data from multiple sources to measure different KPIs, our enterprise-grade big data analytics engine serves the data and analytics dearth in any organization and for any business needs. Our expert team helps you perform data analysis on the transformed data using different analytics algorithms and tools for Interactive analytics, big data processing, machine learning, real-time analytics, and operational analytics.
Assessment, Strategy & Consulting
Our team of subject matter experts and domain knowledge proficients offers a systematic analysis of your enterprise’s business needs, data landscape, and analytics requirements. Consequently, discuss, define, and freeze on a comprehensive data and analytics architecture formula to lead the overall implementation strategy.
Optimized architecture performance
We believe data lake is just the start of many great things. Our data architecture implementation mechanism deals with both structured and unstructured data repositories. Our advanced analytics on the pooled data from multiple sources empowers the successful rendition of data-centric intelligent decision-making. Reduce costs, improve data quality, optimize data performance, and gain a competitive advantage with the best architecture performance tailor-made to meet your enterprise data needs.