Data Engineering
At E-Solutions, we employ proven and proprietary data architectures alongside digital accelerators and cloud engineering services to streamline your data initiatives. We prioritize data security, ensuring it is easily accessible to end users, meets performance demands, and maintains accuracy and consistency. With our deep expertise in data engineering and innovative methodologies, we focus on building a reliable data foundation that drives analytics. We utilize the right technologies and tools to analyze structured, semi-structured, and unstructured data, transforming it into actionable insights and facilitating data-driven transformation.
Our Service Offerings
Data Architecture & Design
Develop robust data frameworks that support scalability and performance for future growth. Align data architecture with business objectives to maximize efficiency and accessibility.
We recognize that effective data architecture is essential for any enterprise seeking to unlock significant business value. The data architecture we implement is intelligent, collaborative, and continuously evolving to meet new business demands and user needs. Its four main components include:
Data Warehouse Optimization
We assess and analyze your existing data warehouse to identify gaps by engaging with relevant stakeholders. By offloading less frequently used data to Hadoop, we enhance performance and increase flexibility. This strategy allows organizations to merge historical data with new information and utilize visual integration tools that eliminate the need for manual scripting in data ingestion and blending.
Data Lakes and Lakehouses
Understanding that a data warehouse alone may not provide a complete view of enterprise data, we integrate it with Data Lakes and Lakehouses. This approach allows you to store data in its original format without the need for prior structuring. You can access all your data in one location and apply a variety of analytics, from real-time analysis and Machine Learning to visualizations and dashboards. We also facilitate:
Data Mesh
With our Data Mesh services, organizations can enhance analytics capabilities even without a centralized data architecture. Before implementing a Data Mesh, we evaluate the organization’s data proliferation and the potential for AI/ML to serve as a strategic differentiator. As we establish a cloud-native, domain-oriented Data Mesh, we focus on four core pillars:
- Data as a Product
- Decentralized Domain Ownership
- Self-Service Data Infrastructure Platform
- Federated Computational Data Governance
Stream Analytics
As enterprises collect data at an unprecedented speed, they face massive datasets that require real-time processing and analysis for timely insights. Our Stream Analytics expertise enables organizations to ingest, process, and analyze event streams instantaneously. We help design and deploy sophisticated analytics solutions that detect patterns, automate responses, and facilitate intelligent actions, minimizing the need for human intervention. Our Stream Analytics solutions provide:
Real-Time Ingestion
Scalable Data Processing & Storage
Analytics, Dashboarding & Alerting
Master Data Management (MDM)
At E-Solutions, we believe Master Data Management (MDM) is a strategic approach, not just a technological implementation. Our MDM services enable you to manage large volumes of data effectively, ensuring quality and consistency across datasets. This leads to reliable, scalable data that supports your AI and ML initiatives.
Our approach addresses challenges like siloed systems and multiple data versions by implementing policies that validate accuracy, coherence, and accessibility. With a trusted view of your data, you gain visibility into the master data lifecycle, manage preferences from a single platform, and improve reporting through precise data relationships and hierarchies.
Data Integration & Security
At E-Solutions, we address data silos and cost inefficiencies through a streamlined six-phased data integration lifecycle.
We document data sources, perform discovery and profiling, and secure data to minimize unauthorized access risks. Next, we develop transformation maps and create the integration interface, consulting our Data Integration Center of Excellence (CoE) for optimal architecture.
Our CoE validates data transfers through unit testing and ensures compliance with standards and regulations. We help organizations manage complex interfaces efficiently, applying best practices in data integration.
For each client, we assess the types of data being exchanged, the integration use cases, and the specific pain points they need to address. From there, we provide a tailored data integration strategy that encompasses the following steps:
Creating a standardized format to which all applicant interfaces will be adapted.
Identify strategies for batch, real-time, and big data management.
Consider establishing a data integration "Center of Excellence" to oversee requests for new interfaces and data integration requirements. This group will also collaborate with other data governance and management teams.
Creating standard scripts for the "data discovery" process ensures that data is analyzed consistently, preventing the oversight of important data quality issues.
Promote and enforce the use of master data, ensuring it is not only referenced but also subject to validation and error reporting.