Data Science, BI & Data Warehousing

Data Management and Architecture

Bigweld has integrated databases as crucial elements in nearly all its projects. Our expertise spans designing robust database and data platform infrastructures. We've handled everything from ensuring redundancy, enhancing high availability, scaling systems, tuning for performance, integrating diverse systems, setting up reporting systems, to managing ongoing maintenance. Our engineers and architects are proficient in all aspects of cloud compute.

Whether data management is a peripheral or central aspect of your project, Bigweld leverages its extensive experience to tailor data platforms that align with your specific needs. Our solutions are designed to optimize for performance, scalability, uptime, and redundancy, ensuring your data architecture is fit for purpose.

Business Intelligence & Analytical Services

In today's data-driven landscape, companies are capturing vast amounts of information, yet often lack the tools or expertise to analyze it effectively. This data, if left untouched, misses out on providing critical business insights. The costs of forgoing data analysis can significantly outweigh the expenses involved in developing analytics capabilities. Here is where we step in.

Our team has assisted numerous organizations in creating comprehensive data warehouse solutions, including data lakes, operational data stores, and structured data marts, along with developing ETL processes and machine learning pipelines. We facilitate the transition of raw data into actionable insights, whether it's for enhancing predictive analytics in finance or streamlining operations in tech sectors like law enforcement.

Expertise in Platform Architecture

Data Platform Design & Strategic Planning:

• Analysis of Current and Future Data Needs
• Development of ETL Processes
• Optimization of Data Storage and Access
• Database Upkeep and Migrations
• Performance Optimization
• Creation of Reporting Tools
• Advanced Analytics and ML Solutions
• Technologies Used:
• Keras, TensorFlow, Amazon Rekognition, Amazon SageMaker Data Wrangler
• Python for Data Science (Pandas, scikit-learn)

Database Technologies:

• Amazon Aurora, PostgreSQL, MySQL, Microsoft SQL Server, MongoDB

Data Warehousing & Visualization:

• Amazon Redshift, Hadoop Ecosystem (Apache Hive, HBase, & Impala), Microsoft PowerBI

Real-Time Data Handling:

• Apache Spark, Apache Kafka, AWS Kinesis

Through these services, Bigweld not only builds but also enhances the capability of organizations to leverage their data for strategic decision-making.