Beyond the high quality, we really feel the speed of development. Deadlines are strictly met, and high quality is maintained.
Mr. Junpei Suzuki - Product Manager
SpiderPlus & Co.
Service · DATA ENGINEERING
Data Engineering, pipelines your decisions can rely on.
Efficient data platforms that enable informed decisions and business value.
INGESTION
Real-time
Snowplow and AWS Kinesis
PROCESSING
Apache Spark
large-scale transformation
STORAGE
Snowflake
plus Amazon S3 and BigQuery
PROCESS
7 steps
requirements to continuous support
SY Assistant · about this service
Common questions about this service:
What is the typical team composition?How do you handle IP and security?Can I meet engineers before signing?What if I want to scale up or down?
Custom solutions
Fully customized solutions built to meet your unique requirements.
Experienced team
Skilled professionals using current technologies for high-quality results.
Understanding of the Japanese market
We respect Japanese culture and build trust through deep market insight.
Cost efficiency
High quality at a competitive price.
Fast, flexible response
A compact team that can move quickly and adapt.
INDUSTRIES WE SERVE
Data engineering for every industry
We support your data initiatives across industries, and adapt to requirements specific to yours.
Manufacturing
Optimize production data and enable real-time analytics.
Retail and e-commerce
Improve inventory management and analyze customer behavior.
Finance
Support risk management and data-driven decision-making.
Healthcare
Manage patient data and meet regulatory requirements.
IT
Build scalable data infrastructure and structures.
TECH STACK
Industry-standard tools at every stage
Seamless integration with your existing systems lets you use current technology to the full.
Data collection and ETL
Real-time, efficient collection, extraction, transformation and loading with Snowplow and AWS Kinesis.
Data processing
Apache Spark for fast processing and analysis of large datasets.
Data storage
Scalable, secure storage on Amazon S3, Google BigQuery and Snowflake.
Data quality management
Reliable data through comprehensive validation with Apache NiFi, Talend and Informatica.
Advanced analytics
Machine learning and predictive modeling with TensorFlow, PyTorch and Amazon SageMaker.
HOW WE WORK
Seven steps from requirements to support
Requirements definition
We listen to your business goals and data challenges, then design the right solution.
Data collection and ETL
Real-time, high-performance pipelines with Snowplow and AWS Kinesis.
Data processing
Apache Spark turns large-scale data into analysis-ready datasets.
Data storage
Scalable, secure storage on Amazon S3, Google BigQuery and Snowflake.
Data quality assurance
Comprehensive checks and cleansing keep data accurate and reliable.
Advanced analytics integration
Machine learning and predictive modeling to extract insight from your data.
Continuous support
Maintenance and optimization after deployment, for the long term.
Who it's for
Companies with data in many existing systems
We integrate with the systems you already run and turn their data into analysis-ready datasets.
Teams adding analytics or machine learning
Clean, validated data first, then predictive models on top of it.
Japanese companies
We respect Japanese culture and build trust through deep market insight, and our compact team responds quickly.
CLIENT VOICES
What our clients say
Ready to turn your data into an asset?
Partner with us to turn your data into a strategic asset and gain a competitive edge in your industry. Contact us for details.