Big data development services

Yalantis tailors big data development services to each client’s unique data landscape, business objectives, and industry requirements. This unlocks a wide range of benefits:

• Data-driven decisions at scale. Move beyond guesswork and make informed choices based on real-time insights and historical trends revealed through big data analysis.
• Cost savings. Identify inefficiencies, reduce waste, and optimize resource allocation by leveraging big data insights.
• New market opportunities, product innovations, and revenue streams. Uncover hidden patterns, trends, and correlations in business data.
• Empowered workforce. Equip employees at all levels with self-service analytics tools to reduce manual effort, allowing your team to focus on high-value activities.
• Enhanced customer experience. Gain a deeper understanding of customer behavior, preferences, and sentiments to deliver personalized experiences and improve customer satisfaction.
• Competitive advantage. Use real-time data processing and advanced analytics to quickly adapt to changing market conditions and customer needs.

We employ a multi-layered approach to protect your sensitive information, which includes:

• implementing industry-standard encryption protocols like AES-256 to secure data in transit and at rest
• implementing strict role-based access controls and authentication mechanisms to ensure that only authorized personnel can request access to your data
• adhering to relevant industry regulations, laws, and standards, such as the GDPR, HIPAA, and ISO 27001
• conducting regular security audits and vulnerability assessments to identify and address potential risks
• offering big data software development services on secure, scalable cloud platforms like AWS and Azure, which provide robust security features and maintain strict compliance requirements
• providing rigorous security awareness training to ensure our big data developers and BI engineers follow best practices in handling sensitive data

Yalantis data science specialists select the most suitable tools to set up efficient extract, transform, load (ETL) processes, organize well-suited data storage, and deliver insightful data visualization. Here are some examples of tools we use for different types of big data services:

1. Apache Spark, an open-source platform for fast in-memory data processing as well as batch and stream processing
2. Apache Storm and Apache Samza, easy-to-use frameworks designed to support multiple programming languages for real-time stream processing
3. Amazon Web Services (AWS) with a variety of offerings for data integration, storage, and visualization, including:

• Amazon Data Exchange for accurate data collection from third-party services
• Amazon S3 for scalable big data storage
• Amazon QuickSight for ML-powered data visualization

The implementation timeline for big data application development services varies depending on several factors:

• Project scope. The volume and complexity of data involved can impact the project’s duration, typically ranging from three to nine months.
• Project deadlines. If you have strict deadlines, we can allocate additional resources to accelerate development, but this may increase costs.
• Business urgency. For pressing business challenges to be solved with big data solution services, we offer an iterative approach that allows you to test and refine the solution gradually.

As a trusted big data solutions partner, we always aim to deliver big data solutions promptly, but without compromising on quality. While this may occasionally extend timelines, the extra effort will result in a rock-solid solution that exceeds your expectations and drives business value.

We have experience working with all types of data, whether it’s neatly organized spreadsheets (structured) or messy social media posts (unstructured). We can also pull data from a vast range of sources to give you a complete picture of your business, including from:

• IoT devices
• third-party services
• social media platforms
• news websites
• customer surveys
• internal software (CRM, ERP, HRM)

Provide us with a list of your desired data sources and we’ll research additional relevant sources for your business and industry. We’ll then design an architecture that ensures accurate data aggregation, either in real time for immediate analysis and in bulk for storage and further use.

Yes. As a big data services company, the Yalantis team can enhance your big data solution with advanced analytics services to maximize its value. Our process includes:

1. researching and selecting advanced analytics tools that suit your business needs
2. integrating these solutions into your architecture design (e.g., Amazon Athena for data lake analysis or Amazon SageMaker for predictive analytics)
3. testing the performance of these solutions to ensure they perfectly fit into your workflow, enhancing decision-making, and improving business operations