Data Engineering

Providing complete assistance to our clients with data engineering services. We want them to fully understand their data-related challenges.
Advanced data engineering consulting ensures that the data processing is:

Powerful

Fast

Reliable

Data Engineering Services & Solutions

Data Pipelines

Improve data quality and discover new smarter information that matters to your business with our ETL Solutions. Create a robust data pipeline and reduce the average query processing time, generating faster insights with our expertise in ETL & data warehouse services. Data silos are a common challenge for companies to develop efficient business strategies. Organizations are looking to extract data from multiple sources, integrate and load them into a data warehouse system to drive better insights. JuloTech ETL & data warehouse solutions enable enterprises with data pipelines to store, process, and manage huge volumes of data from diverse sources at varying speeds. We leverage our expertise in the end-to-end data engineering ecosystem to select or recommend the best of the breed technology stack for building the data pipelines that are robust and significantly reduce the average query processing time, generating faster insights.

MLOps

Realize business gains by deploying production-ready machine learning models into your workflows effectively. Operationalize and scale ML models with our MLOps practices that bring the right mix of data science, data engineering capabilities and DataOps expertise together. More than 50% of ML models fail to move from proof of concept to production, which remains a major machine learning challenge faced by companies. Various teams often work in silos leading to complexities in creating, managing, and deploying machine learning models. JuloTech MLOps process provides the right mix of data science, data engineering, and DataOps expertise, required to operationalize and scale machine learning to deliver business value, and build an effective AI strategy. Our expertise in open-source MLOPs and cloud technologies enables you to build custom ML solutions and maximize ROI. We help data-driven companies to accelerate time to business value for AI projects by 30% by strengthening ML model life cycle management and overcoming the challenges of model drift.

Cloud Data Warehouse

Move from on-premise to cloud with cloud data warehouse services and improve business agility while saving costs. Our cloud experts assess and architect the ideal cloud architecture for your business and help in seamless migration without risking production SLA and data quality. Organizations have long used traditional data warehouses as a preferred architecture to collate, organize and access enterprise data hosted on servers. However, challenges such as finite storage capacity and cost of ownership are making enterprises move from on-premise to cloud. Cloud provides organizations with agility, scalability, security and is highly reliable. JuloTech cloud data warehouse services help large companies modernize and accelerate their data foundation on the cloud by smooth implementation, migration, and cloud performance optimization. Our data warehouse service coupled with DataOps enables organizations to build data pipelines on the cloud at up to 40% lower total cost of ownership as compared to on-premise data warehouse and provides cloud infrastructure and cloud data management to realize business value. With seamless migration from legacy on-premise to cloud, IT leaders can improve performance, scalability, and security while providing high system uptime with seamless access to data at all times.

DataOps

Drive reliable business availability and improve the quality of your data with DataOps services. Build and support your data infrastructure to ensure faster deployment of data pipelines, carry data automation, increase overall operational efficiency and achieve faster time to market. The rapid adoption of technologies like 5G, AI and ML is expanding the global 'datasphere' at breakneck speed. Building on the essential capabilities to convert this burgeoning data volume into business value can be a daunting task without a robust DataOps process. JuloTech DataOps services helps analytics leaders across organizations stay business-ready by seamlessly orchestrating voluminous data efficiently throughout the data lifecycle. The proven DataOps methodology ensures uninterrupted development, seamless integration, testing, deployment, and monitoring of enterprise data operations. With years of expertise in data automation, data governance and data infrastructure optimization, Sigmoid helps companies enhance data pipeline availability, reduce downtime, lower operations costs, and mitigate data risks.

Real-time Interactive Analytics

To build an application that combines historical and real-time data, data engineers need a single, headless data access layer. As one of the top companies, Julotech provides access control, data modeling, and caching on top of streaming SQL. JuloTech consumes batch data into one pre-aggregation, data from streaming SQL engines into another, then unites them during query processing-so we can return merged data. We provide data to downstream applications with the same APIs: REST, GraphQL, and SQL. JuloTech hides the complexity of working with combined data within our data modeling layer.

End-to-end Data Engineering and Data Management solutions to deliver value to business use cases.

Powerful

Fast

Reliable

Data Engineering Services & Solutions

Data Pipelines

MLOps

Cloud Data Warehouse

DataOps

Real-time Interactive Analytics

Expertise in a broad spectrum of Big Data Engineering Technologies

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