Advanced Data Engineering & Management

Turn Data into Action.

Advanced Data engineering and Management services to help you create high-performance infrastructure and unlock the power of data.

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The Highest Standards. The Happiest Clients.

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Data Engineering for Digital Transformation

Empower your people to find the insights they need to tackle the most complex business challenges.

With ever-increasing data volumes and velocity, you must leverage top-notch data engineering consulting services to create intelligence and drive value from data to make a business impact.

You need massive amounts of data automation with real-time intelligence and data quality to drive accurate data-driven decisions and build trust. For that, you need world-class expertise to build systems that help you collect, transform, and publish data.

Our team of certified Data Analysts, Business Intelligence Consultants, Cloud engineers and Senior Architects with domain expertise across industries, can help you build data systems with strong data engineering principles to plan, deploy, and support your mission-critical data products.

Data Engineering and Management Services

Improve decision-making and business performance with E-Connect data engineering consulting.

Enterprise-data-warehouse
Enhance Organizational Alignment And Synchronization Across Teams

Enterprise Data Warehouse (EDW)

With the Enterprise Data Warehouse, you can get real-time data access and machine learning generated insights to make better decisions that drive innovation. Integrate, transform, and connect all data across the organization with E-Connect’s enterprise-class data engineering consulting services and warehousing solution. Benefit from auto-scalability, high performance, security, and autonomous management. We will support you throughout all phases of an EDW installation life cycle.

Build Prototypes

Build Prototypes

Create an effective enterprise data warehouse strategy, choose the best data warehouse model, and build a prototype.

EDW Development

EDW Development

Full-cycle EDW development – from integrating data from multiple heterogeneous sources such as Relational Databases, CRM, ERP, Flat Files, etc., to full automation of data processes.

Setup Analytics

Setup Analytics

Set up enterprise analytics for Procurement, HRM, Marketing and Sales, SCM, etc.

EDW Support

Overall EDW Support

Implement minor adjustments, make changes that SLA covers, and provide overall EDW support.

Migrate to Cloud

Migrate to Cloud

Migrate your EDW to the Cloud, scale it up, & optimize performance & costs.

Setup EDW

Setup EDW

Set up EDW on advanced on-prem platforms SAP HANA, Oracle DB, etc.

Scale Up Data

Scale Up Data

Set up EDW on robust Cloud platforms like Snowflake, Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Oracle Autonomous Warehouse, or SAP Data Warehouse Cloud. It can help you quickly scale up, down, or out as needed to handle the constantly fluctuating data needs across different departments, business units, and geographies.

Connect Your Valuable Data Assets To Cloud Data Warehouse For Faster Insights

Cloud Warehouse

Leverage higher levels of data availability, greater scalability, and instant elasticity with Cloud data warehouses. Seek our data engineering consulting services and we will help you overcome the challenges of moving to a Cloud data warehouse and integrate data from across the organization in real-time – regardless of location, platform, operating system, and data type.

Analyze

Analyze

Understand user expectations from the Cloud data warehouse and analyze the performance, scalability, and data privacy requirements.

Business Goals

Improve Business Goals

Design the technology preferences and Cloud data architecture aligned with the business goals.

Bulk Migration

Bulk Migration

Establish a Cloud migration strategy with a sequential stepwise approach or bulk migration, establish all data sources and ingest automation into the data lake and data warehouse.

Data Quality Management

Data Quality Management

Implement data governance with data policy management, data risk management, data quality, and regulatory compliance.

Build Data Pipelines

Build Data Pipelines

Build Cloud-native data pipelines and automate deployments with real-time monitoring, alerting, and auto-scaling.

World-class Platform

World-class Platform

Deploy Cloud data warehouses on world-class platforms like Microsoft Azure, Google BigQuery, Amazon Redshift or Snowflake.

Optimize the Cost

Optimize the Cost

Optimize costs with capacity planning, evaluation of technology alternatives, and complete visibility of close usage.

cloud-warehouse
data-marts
Get Quick Insights On A Particular Line Of Business, Department, Or Subject Area

Data Marts

The amount of data and sources will increase as your organization grows. As a result, you may end up with a data warehouse having numerous schemas that can become difficult to navigate. Data marts can help you address this problem by improving query speed with a smaller, more specialized set of data and assist you in department-level, tactical decisions. We follow best practices to help you easily design a scalable independent data mart architecture for your business needs.

Gathering Business

Gathering Business Requirements

Gather the business and technical requirements, identify data sources, select the appropriate subset of data and design the logical and physical structure.

Constructing Data Mart

Constructing Data Mart

Construct a data mart with an RDBMS like Microsoft SQL Server, Oracle Database, Amazon Relational Database Service, MySQL, etc., that provides excellent storage management, fast data access, data protection, multi-user support, and security.

Creating Physical Database

Creating Physical Database

Create the physical database and the logical structures with database schema objects like tables, indexes, views, etc.

Robust ETL Tool

Robust ETL Tool

Using a robust ETL tool source data to target data mapping, extract source data, clean and transform operations on the data, load data into the data mart and create and store metadata.

Easy Interface

Easy Interface

Put the data to use – querying the data, creating reports, and charts, and publishing them. Make it easier for even non-technical users to access. Set up and maintain database structures and set up API and interfaces if required.

User Access Management

User Access Management

Perform ongoing user access management, system optimizations and fine-tuning, add and manage new data into the data mart, plan recovery scenarios and ensure system availability if the system fails.

Swiftly Move Data And Extract Better Value From It With Modern Data Pipelines

Data Pipelines

You can address the data-silo challenges with data pipelines that can populate in a single source of truth data lakes while maintaining quality and consistency. As a result, you can manage explosive data growth in an efficient and scalable manner, leading to tremendous opportunities AI and machine learning have to offer in your digital transformation journey. It increases your ability to share data effectively and accelerates time to business insights. With our data engineering consulting services, we will help you build and manage infrastructure for data movement and its strategic usage.

Extract Data

Extract Data

Extract data from RDBMS like MySQL, Oracle Database and Amazon Relational Database Service, CRMs such as Salesforce and HubSpot, ERPs like SAP and Oracle, social media management tools, and even IoT device sensors.

Data-Driven Decisions

Data-Driven Decisions

Eliminate most manual steps from the process and enable a smooth, automated flow of data from one stage to another, thereby enabling real-time analytics to help you make faster data-driven decisions.

Transform & Process Data

Transform & Process Data

Extracted data from various sources is then transformed, augmented, filtered, grouped, aggregated, and deposited at its destination.

Data Analysis

Data Analysis

Move the processed data to the destination – typically a data lake or data warehouse for analysis.

data-pipelines

How We Do It

Our Approach

discovery

Discovery

  • Project Overview
  • Goals and Audience
  • Project Scope
  • Features and Requirements
  • Platform Selection
conception

Conception

  • Process Flows
  • Story Board
  • Wireframes
  • UI/UX Design
implementation

Implementation

  • Development
  • User Testing
  • Review
  • Implementation
  • Training and Roll-out

Data Engineering Tools & Technologies

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Harness A New Wave Of Data-Driven Decision Making

Learn how you can leverage our data engineering and management services to unlock new revenue growth opportunities and cost efficiencies.