Panaceata is here to provide you with cutting-edge Data Engineering and Business Intelligence (BI) Services in the dynamic landscapes of AWS and Azure clouds
Choose Panaceata for unparalleled expertise in data engineering and BI technologies in AWS and Azure. Our end-to-end solutions, scalable infrastructure, and focus on data quality and governance enable reliable decision-making. With advanced analytics and visualization, we deliver actionable insights. Our collaborative approach ensures tailored solutions aligned with your business goals.
Panaceata specializes in building robust data engineering solutions. We offer data ingestion, data transformation, and data integration services, enabling you to aggregate and unify your data from various sources.
Panaceata helps you design and implement modern data warehousing and data lake solutions. We leverage the power of AWS Redshift, Azure Synapse Analytics, and other cutting-edge technologies to store and manage large volumes of structured and unstructured data efficiently.
From international eCommerce platforms like PayPal and Barclaycard to Sri Lankan Sampath Vishwa, Dialog ezCash and Dialog Genie, Panaceata takes pride in developing custom payment plugins. Moreover, our custom shipping plugins facilitate leading couriers such as UPS, FedEx, and USPS.
Our team specializes in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes tailored to your specific needs using Azure Data Factory and AWS Data Pipelines.
With Panaceata’s BI and analytics services, you can gain meaningful insights from your data. We employ powerful BI tools such as Microsoft Power BI and AWS QuickSight to create interactive dashboards, data visualizations, and comprehensive reports.
Panaceata is well-versed in utilizing a range of big data analytics tools, services, and frameworks to process and analyze large volumes of data. We leverage platforms such as Azure Synapse Analytics, AWS Redshift, and Amazon EMR (Elastic MapReduce) to handle massive datasets efficiently.
A popular open-source distributed processing framework, to perform advanced analytics and machine learning tasks on big data. With its in-memory computing capabilities, Spark enables real-time processing and iterative algorithms, making it ideal for complex data analysis.
Additionally, our partnership with Databricks, a unified analytics platform built on Apache Spark, enables us to deliver comprehensive big data analytics solutions that combine scalability, reliability, and ease of use. Partner with Panaceata to leverage the power of cloud to unlock the true value of your data through comprehensive business intelligence and advanced big data analytics.