Big data development services

Our big data developers work with technologies like Apache Kafka, Azure Data Factory, Snowflake, and Apache Airflow. They possess skills in data warehouse, data lake design and development, real-time big data processing, advanced analytics, and cloud computing. Besides, we can supplement your project’s team with data scientists, artificial intelligence, and machine learning experts.

To hire Yalantis as your big data development company, fill out our contact form and describe your big data project. We’ll get back to you and set up a meeting to discuss your business needs, expected use cases, required big data analytics, strategic goals, and time and budget constraints. Based on the discovery phase, we’ll prepare a project roadmap with a high-level timeline.

Big data analytics provides valuable insights into customer behavior, market trends, business data, and powerful data-driven decisions. With its help, you can improve customer experiences, risk management, operational efficiency, inventory management, or marketing campaigns. Big data solutions process raw data from diverse sources in real time, giving you a full overview of your operations or customers with unified analytics.

To extract business value from large and complex datasets, we first explore your big data and take note of its velocity, structure, and provenance. Next, we select the most suitable big data processing method for effective data management (e.g., parallel computing), especially if real-time data is involved. We also optimize storage with partitioning, compression, and data visualization, which includes aggregation and sampling.

To protect sensitive enterprise data while ensuring users can easily access it, we implement industry-standard encryption (in transit and at rest), access control, authorization, and authentication. Moreover, we secure your big data solution by configuring cloud-based security tools and help you comply with the GDPR, HIPAA, and ISO 27001.

Turn to external big data expertise to easily navigate common challenges like big data integration from diverse sources and the long-term scalability of the data infrastructure. With big data companies, you can select the right technologies for your use cases, protect sensitive data with robust security features, and set up efficient data processing for structured and unstructured data.

Absolutely. As a big data service provider, we have industry-specific experience in FinTech, healthcare, transportation and mobility, and manufacturing. We also routinely bring subject matter experts for big data projects to enhance our expertise with niche knowledge. It involves predictive analytics for market insights, and real-time data analysis for fraud detection.

The duration of a big data project depends on the complexity of your solution. It, in turn, is based on the required data analytics and data visualization capabilities, the number of data sources, data access requirements, the variety of data (unstructured/structured data), and the expected big data integrations. Your existing data management strategy, data infrastructure (e.g., data already stored on Google Cloud Platform), and the selected big data tools also play a role.

For example, a big data solution for a 3PL company took us three months to deliver. The project involved implementing a data lake, real-time data extraction, data visualization and analytics, and predictive analytics for demand forecasting.

Yes. We can derive valuable insights from predictive analytics solutions and leverage big data insights with prescriptive analytics. Based on your business intelligence needs, we’ll pinpoint how to turn the collected data (enterprise, customer, or market data) into actionable insights. Our data science experts will then select the right big data analysis algorithms for your use cases and implement them into your solution.