Big data technology is a revolutionary information technology that is data-centric. Data analysis is a powerful invisible asset. When an enterprise undergoes transformation, gathering data and applying analysis results to business decisions in real time becomes the key to competing in the market. However, executing data analysis quickly and accurately to meet constantly changing market demands is not easy for IT personnel in enterprises.
eCloudrover's unwavering focus on business outcomes, combined with the cloud provider's cloud analytics capabilities, is helping companies like yours integrate strategies, investments, operations, and technology.
Our Technology
We use specialized technology and experts in various aspects of software development, including Web, server front-end, distributed application configuration in cloud environments, and big data processing. We are committed to creating value for clients at every stage of development.
Usage scenarios for data analysis
Business Intelligence
Efficiently and economically run high-performance queries on PB-level semi-structured and structured data, so that you can build powerful reports and dashboards.
Data Warehouse
Running SQL and complex analytical queries on structured and unstructured data in data warehouses and data lakes, without unnecessary data movement.
Scalable Data Lake
Nowadays, setting up and managing a data lake typically involves many manual and time-consuming tasks, but cloud providers automate these tasks, allowing you to build and secure a data lake in days rather than months.
Operational Analysis
Real-time search, exploration, filtering, aggregation, and visualization of your data for application monitoring, log analysis, and clickstream analysis.

What can our data team do for you?

eCloudrover utilizes a self-developed cloud data management platform called Data Lake Management System (DLMS). With DLMS, we aim to address challenges faced by our clients, including lack of a single true source, issues with retrieving historical data, slow turnaround time for providing new analysis reports, and restricted access to data sources. This tool enables our clients to automate the data journey lifecycle from "source- ingest-optimize-model-present" processes, without needing to be experts in specific technical aspects to produce desired results and outputs.

DLMS provides an efficient method for end-to-end data management,

enabling data ingestion to consumption on a single platform.

Clear visibility
Each module offers visibility into ingestion, storage, and secure processing.
Infinite expansion
Support for petabyte-level data persistence.
Effortless infrastructure management
Using serverless architecture to manage services.
Data directory and dictionary
Allow analysts to locate the necessary data sources and descriptions to understand which data is suitable for analysis work.
Access control
Control specific user access to specific datasets.
Audit report
Downloading data usage reports to understand which users are currently using data.
Get Help Now
Let us create a solution tailored to your requirements.
info@ecloudrover.com
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