Data Engineering Services
When businesses embark on their digital journey, data sharing among various departments and lines of business becomes inevitable. As a data engineering company, we specialize in preparing companies for data-led transformation by implementing robust data management strategies. Our goal is to enhance decision-making processes through our top-notch data engineering solutions, ensuring success and efficiency for our clients.
accelerate digital evolution with enterprise data management
At Microxor, we assist enterprises in overcoming their data challenges, enhancing end-user satisfaction, and guiding business strategies through intelligent insights. Our data engineering teams adeptly analyze structured, semi-structured, and unstructured data using cutting-edge technology, processing tools, and methodologies. Furthermore, we offer comprehensive data lifecycle management services, replacing costly and siloed in-house data infrastructure. Our goal is to transform big data pipelines into robust systems ready for agile business analytics, empowering our clients with efficient and effective data-driven solutions.
businesses need an efficient and agile way to source and consume data
Enterprises today possess vast amounts of data from multi-cloud infrastructures. However, their capacity to leverage this data is hindered by escalating complexity, inadequate data management practices, and insufficient infrastructure and tools.
END-TO-END DATA ENGINEERING SERVICES
In today's landscape, organizations generate copious amounts of data that require optimization and transformation into actionable business insights. Our team of skilled and experienced Data Engineers and Consultants specializes in creating high-performance infrastructure and optimizing your data to facilitate better decision-making and achieve your business objectives.
data collection & summarization
We specialize in extracting structured and unstructured data from both streaming and batch sources, refining and cleansing it to make it accessible on legacy databases or cloud systems. This ensures that data scientists and business users have access to high-quality data for exploration and analysis.
data storage & elt / etl
We employ a variety of techniques for extracting, processing, transforming, and loading data into various relational, non-relational, NoSQL, big data systems, and/or cloud storages. Our approach depends on factors such as data availability, volume, velocity, and type, ensuring optimal handling and storage of your data.
data modernization & migration
We employ an efficient and intelligent approach for migrating business data to/from on-premises legacy systems into cloud storage infrastructure or new target platforms. Our methodology ensures a seamless transition while minimizing downtime and disruptions to your operations.
data pipelines
Building production-grade repeatable We design independent data workflow pipelines to move, transform, and store data efficiently. Leveraging a variety of legacy, Big Data, and/or cloud orchestration and data management pipeline tools and techniques such as Data Factory, Databricks, Synapse, Informatica, and others, we process data in both batch and real-time scenarios.
continuous integration & deployment
We specialize in both legacy and cloud-based deployment services, developing efficient production build and release pipelines based on infrastructure-as-code artifacts, reference/application data, database objects (including schema definitions, functions, stored procedures, etc.), data pipeline definitions, and data validation and transformation logics.
distributed real- time data processing
We excel in implementing real-time and batch data processing systems across distributed environments, leveraging mobile, web hosting, and cloud services to ensure seamless operation and scalability.
monetize and maximize the value of data
Microxor's curated approach to Data Engineering offers significant business advantages.
faster time-to-value
Employing accelerators, frameworks, and proven services, we uphold quality standards without compromise.
improved operational efficiency
We leverage operational data to enhance efficiency, develop ML/AI use cases to optimize sales and operations, and access distributor data to enhance supply chain visibility, identify gaps, and improve replenishment rates.
new customer & market insights
We access retail data and integrate market research to gain fresh insights into consumer behavior and inventory levels.
user satisfaction / empowerment
We implement a self-service analytics model tailored for both business users and analysts.
enhanced compliance
We integrate regulatory and market data to synchronize sales and distribution efforts.
increased sales
We harness online/e-commerce data to drive sales initiatives forward.
Benefits Of Data Engineering Services
- Empowering smarter decision-making through insights gleaned from powerful data analysis.
- Enhancing product quality and user experience through insightful analysis of gathered data.
- Uncovering new business opportunities through predictive analysis of historical data, foreseeing behaviors and trends.
- Driving cost reduction and profit increase by streamlining your data architecture.
- Accelerating project timelines by expediting access to insights.
