Data engineering is the process of building and maintaining infrastructure for the storage, processing, and analysis of data.
We have a deep understanding of data engineering principles and best practices and leverage them to deliver effective solutions.
We assist you optimize your business performance with the following data engineering services:
Design and develop a centralized system to store and manage large volumes of data to support business intelligence and decision-making.
Create a blueprint of data structures to identify data entities, relationships, and attributes in keeping with your business requirements.
Collate data from multiple data sources, such as disparate systems, cloud services, or legacy databases, and integrate them into a unified system.
Cleanse, enrich, and standardize data derived from multiple sources to ensure completeness, accuracy, and consistency.
Protect sensitive and confidential data and comply with industry regulations with cutting-edge technologies and best industry practices.
Design and implement scalable and secure data pipelines to ensure data is delivered to the right system, in the right format, and at the right time.
Increased competitive advantage with better use of data
Increased accuracy and completeness of data
Better decision-making through enhanced data insights
Enhanced data-driven innovation for faster growth
Reduced costs associated with data management
Improved data governance and control
Increased Scalability with a high volume of data
Enhanced data security for compliance with industry regulations
We assign you the right mix of junior and senior-level data engineers, lead data engineers, and data engineer consultants to meet your data modeling, integration, and testing needs.
We assist you to improve data quality with end-to-end data validation, data cleansing, and data standardization.
Our services assist you in unlocking the full potential of your data with powerful real-time and batch-processing solutions.
Our advanced data analytics solutions leverage technologies like predictive modeling and machine learning to extract valuable insights from your data.
We provide end-to-end data pipeline development services for streamlining the process of data collection, cleaning, storage, analysis, and visualization.
We provide strategic insights on ways to improve operational efficiency, streamline processes, remove bottlenecks, and expedite end-to-end processes for improved productivity.
We have built complex data systems for organizations across industry verticals. Some of these industries include:
Banking and financial
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It is a process that involves designing, building, and maintaining infrastructure and systems required for storing, processing, and analyzing large data sets.
Data engineering consulting is a service where a company or individual (consultant) helps another company or organization (client) to design, build, and maintain their data infrastructure and pipelines. This can include setting up data warehouses, creating ETL processes, and designing data architectures. Data engineering service provider and data engineer consultancy aim to help clients manage and use their data more efficiently and effectively.
Some common data engineering problems include:
When looking for a data engineering consulting firm, some key factors to consider include:
Data engineering services can help organizations improve data quality, increase data accessibility, and enable more effective data analysis and decision-making.
Common tools used by data engineering companies include Apache Hadoop, Apache Spark, Apache Storm, Apache Kafka, Apache Nifi, SQL and NoSQL databases, and various programming languages such as Python and Java.
Data engineering involves a variety of capabilities, such as data integration, data quality, data storage, data processing, data governance, data security, data visualization, data pipeline, performance optimization, and cloud migration.
Enterprise Data engineering services can support a wide range of business and research applications, such as customer analytics, fraud detection, financial forecasting, and machine learning.
Working with Phygital data engineering team has been a game-changer for our company. They helped us identify our data ingestion problems and implemented a centralized system to tackle them. We highly recommend their services.
Technical Product Manager
As a startup, we needed a data engineering solution that was both cost-effective and scalable. Phygital ensured this with the help of open source technologies and by automating several routine tasks. If you are looking for custom-solutions, they are the best bet.
Founder & CEO
Phygital's data engineering team has been a valuable partner in our digital transformation journey. We were able to turn vast amounts of data into actionable insights and identify new business opportunities.
Founder & CEO, Leading Australian Travel and Hospitality Service
Phygital helped us optimize our data management processes. The holistic view of patient information helped us enhance health outcomes. It has also led to significant cost savings for our operations.
Executive Director, US-Based Healthcare Services
Working with the data engineering team has been a game-changer for our company. They transformed our data infrastructure and made it possible to analyze fast flowing data and get insights real-time. We highly recommend their services.
Technical Product Manager