Sigmoid Data Engineering Services
End-to-end Data Engineering and Data Management solutions to deliver value to business use cases
Data scientists & analysts spend more than 70% of their time in data processing instead of analysis. Sigmoid’s data engineering services provide the right expertise to build and streamline data processing pipelines, and modernize the data platform to enable rapid AI adoption. Advanced data engineering consulting ensures that the data processing is:
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.
250TB+ Yearly Data Volume
Fortune 100 Retailer
Processed huge volumes of customer and POS data, generating insights within seconds for users through scalable and highly effective data management
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 engineer, and DataOps expertise together.
200 automated email variants across 14MN+ customers
Popular Restaurant Chain
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 engineer, and DataOps expertise together.
200 automated email variants across 14MN+ customers
Popular Restaurant Chain
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.
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.
65% reduction in infrastructure costs
Major AdTech company
Migrated mission critical workload to the cloud. Collaborated with multiple client side teams to migrate proprietary databases and live data pipelines to the cloud.
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.
99% System Uptime Delivered
Software
Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime
99% System Uptime Delivered
Software
Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime
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.
Real-time Interactive Analytics, Sigview
Give your teams access to data in real-time and enable effortless ad-hoc exploration! SigView is a full-stack real-time analytics platform that helps analyze billions of ad impressions in real-time and report advertising performance across media platforms.
< 3 seconds Average Query Response Time
Advertising Technology
Delivered a unified analytics platform to ingest and query data from different sources with the ability to schedule reports and set up alerts
Contribution in Cloud and Open-Source
We’ve worked extensively on Apache Spark, an open-source big data architecture that enables distributed fault-tolerant in-memory computation. Our team has been contributing to the open-source environment for 10+ years and has delivered multiple projects in this space:
- Committer in Pig
- 1st Deployment of Spark on GCP
- Spark Patches
- 1st Migration of Pig on Spark
- Frequent Speakers at ApacheCon
- Multiple Contributions on Open-Source Technologies
- Committer in Pig
- 1st Deployment of Spark on GCP
- Spark Patches
- 1st Migration of Pig on Spark
- Frequent Speakers at ApacheCon
- Multiple Contributions on Open-Source Technologies
How Data Engineering Amplifies Business Value of Advanced Analytics
The whitepaper discusses how well-defined data engineering processes create a robust foundation for consistently delivering insights at scale and overcome big data challenges that companies face such as managing data, creating data pipelines, and more.
Readers will learn more about:
- Importance of data management for enterprise analytics
- Impact of open source technologies in analytics
- Data processing cycle
- Differences between software and data engineering processes
- Building an efficient data engineering team
Our Analytics Services and Consulting have Transformed Data Strategies and resolved Data engineering challenges for many Industries
Expertise in a broad spectrum of Big Data Engineering Technologies
Recommended Read
Apache Spark on DataProc vs Google BigQuery
When it comes to Big Data infrastructure on Google Cloud Platform, the most popular choices Data architects need to consider today are Google BigQuery – A serverless, highly scalable and cost-effective cloud data warehouse, Apache Beam based Cloud Dataflow, and Dataproc.