Indium Software
Indium » Data & Analytics » Data Engineering

Data Engineering Services

Scalable modern data architectures for your end-to-end data engineering requirements.

Indium » Data & Analytics » Data Engineering

Data-driven transformation leveraging multi-source data engineering

Organizations are inundated with data already and the volume is growing by the minute. To gain maximum value from their data assets, companies must build data pipelines to help transform and transfer the data into a format that is ready for use for data scientists and other end-users. Growing data volumes offer enormous potential for organizations to generate business value from captured data, offer exceptional customer service and help stay ahead of the curve in today’s competitive global market.

Our data engineering services help make data more useful and accessible to all data consumers. We help our clients gather data requirements, maintain metadata about data, ensure security and data governance, and process data according to their unique requirements.

Indium uses a tailored approach to help firms monetize and optimise the value of their data. We establish a solid data foundation and use data mining to generate insights. Our objectives are to address major obstacles that restrict firms from scaling and transforming themselves into data-savvy rivals.

We help:

Design and develop data pipeline (ETL and ELT)

Design and develop data products with APIs

Enable data quality management

Capabilities

Indium provides the complete range of data engineering solutions that help optimize analytics, data warehousing and data science programs of companies across industries such as manufacturing, BFSI, education, retail, technology and more.

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Data Architecture

Indium can help you build data lake architectures that can enable migration of your data from existing databases to new databases. We ensure the quality of data and also keep it secure and accessible.
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Data Ingestion

Indium`s Data engineering solutions tackle today’s enterprises’ critical data management, processing, organisational, and storage concerns.
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Data Governance

Our Data engineering practices ensure data quality is not compromised regardless of where it is processed or stored. We set up projects with detailed guidelines and data governance policies. In addition, we perform frequent checks to ensure the sanctity of data is intact.
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Data Warehousing

Data warehouse, integration, enterprise data management services, data modelling and architecture, data governance, performance, and managed services are all part of Indium Software’s data engineering services. We recognise the complexities of data warehousing and ensure that meticulous attention to detail is preserved by incorporating discrete and critical components into the process.
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Data Virtualization

Indium Software lays the groundwork for your company’s data virtualization project, with maturing architectures that meet your changing needs. By providing all your data in a single logical layer that is curated, secure, and serves a variety of users, we help eliminate data bottlenecks, allow consistency, and reuse.
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Data Migration

Our data engineering solutions have helped businesses solve their data migration problems. Customers can easily navigate the digital transformation journey as a result of this. Our well-thought-out strategic solutions produce business results. We handle every aspect of your data migration, including strategy, growth, documentation, and content.

Value Propositions

Indium has helped its clients establish successful data engineering initiatives based on the following factors:

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Time-to-value

We help minimize the time-to-value from AI/ML by helping establish features that can be re-utilized across use cases.
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Result-oriented

The key to extracting maximum value from your data starts with clearly defining your business goals. Indium helps you approach data engineering with the singular focus of achieving your core business, time-to-market and TCO targets.
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Holistic approach

We employ a holistic approach to data engineering, beginning with consumption to ingesting data from the source systems
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Enabling data governance

Our solid data quality practises help establish integrity and consistency in data throughout the enterprise

Not finding the service you are looking for? We are here to help.   Contact Us

Client Spotlight

An international banking and financial services firm came to us for a storage house to accumulate vast amounts of data, as the database currently being used was cost prohibitive and a huge hassle to maintain and manage. Consequently, the client decided to move all the data from their local database to the cloud, while limiting direct access to the database.

By using Striim, real-time data integration and data streaming was processed, in which a huge amount of data was migrated from Oracle database on-prem to a Postgres database on Google Cloud Platform. The architecture was implemented by enabling customized visualization, and effective data monitoring. To overcome the access restrictions on the Oracle database Striim Agent was leveraged, which acted as a third party for streaming the data. Additionally, instant alerts were created to notify when there were multiple streams of data being processed in the pipeline.

Usage of Striim reduced the time consumption for transferring the data from the Oracle on-prem database to the Google Cloud Platform by 90%. The complications in setting up the data replication process was reduced by 87%. Striim ejected a 95% increase in security while accessing the data from database.

Success Stories

Bank,Building

Real-Time System Log Analytics For A Leading Italian Bank

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Manufacturing

ERP Data Pipeline Automation Using PySpark for A Manufacturing Company

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Indium Insights

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