Big Data and Data Engineering Services and Solutions
Failing to effectively use big data may result in wasted opportunities and inability to get returns on resources invested in storage and analysis. Altoros helps you to aggregate massive arrays of data and transform it into valuable insights to address key business needs.
Our services
Altoros assists you in storing structured, semi-structured, unstructured, and binary data aggregated from disparate sources. With current and historical data gathered in a single point, you get a consolidated view of your business processes.
Altoros ensures smooth migration of massive data arrays to cloud storages without data loss or downtime. We launch new suitable infrastructures, as well as prepare and optimize data for migration, while taking care of security.
Hire a team of certified experts to enable smooth integration of custom apps with third-party systems and aggregate data from multiple sources for further analysis. At Altoros, we integrate disparate data sources by implementing the ETL pipelines. Our engineers and consultants help you to maintain consistency of data landscape, as well as guarantee an error-free data flow.
Develop data management solutions to visualize and analyze data for informed decision-making. Increase the visibility of business processes, automate reporting, and get valuable data insights in real time.
We perform data extraction, cleansing, profiling, normalization, and transformation. Our team also enables data processing, mining, and warehousing. We will help you to design ETL pipelines based on Hadoop HDFS, Amazon S3, GCP Cloud Storage, Azure Blob Sore, and the DSE distributed file system.
Our experienced data engineers build and implement scalable data pipelines for businesses across various industries. We make sure your data flows are designed properly, so that you can stay focused on business-critical tasks.
What you get
Our team comprises over 10 data engineers and data scientists who have in-depth expertise in aggregating, analyzing, and transforming data for your particular needs.
Pattern definition. Define hidden opportunities by transforming raw unstructured data into meaningful insights.
Predictive modeling. Forecast market trends and predict the outcomes of various scenarios to increase revenue while minimizing risks.
Risk assessment. Early identify and prioritize potential risks to make timely adjust your business strategy.
Fraud detection. Employ a variety of big data processing tools and algorithms to detect fraudulent activities.
Recommendation engines. Develop self-learning engines to increase sales conversion rate by enabling personalized recommendations.
We are contributing
Altoros has extensive experience in employing NoSQL databases:
Data store development, integration with other technologies, and performance fine-tuning.
Our engineers developed the NuoDB Migrator that enables users of traditional SQL databases to easily migrate their data to NuoDB.
Altoros contributed to the development of Couchbase Server and regularly performs independent evaluations of the database as it evolves.
Altoros benchmarked a number of Redis-based products: Redis Enterprise Cloud, ElastiCache, openredis, RedisGreen, and Redis To Go.
Why is data engineering important for your business?
A data-driven approach allows to proactively address business-critical issues and bring value. Companies implement robust database management systems to speed up and automate data analysis and processing, which enables them to predict short-/long-term customer trends efficiently.
When you turn to such data engineering service providers as Altoros, you may be confident that data engineers will help with the development and implementation of high-load distributed systems tailored to your business needs.
Related cases
Frequently asked questions
How do large tech companies leverage data engineering?
Many e-commerce giants rely on data engineering to create business value. By analyzing customer data, these companies can attract potential customers and increase profits.
For example, Amazon uses vast amounts of customer data to personalize interactions, optimize pricing, advertising, the supply chain, and prevent fraud.
Why is Data Engineering so important?
At Altoros, we understand the importance of data engineering in creating a successful analytics program. That's why we are committed to helping companies build a solid foundation for data management by identifying gaps and quality concerns, and improving data collection. By investing in our data engineering services, companies can expect the following benefits:
- Streamlined data management: Our team of experts will help you establish effective data management practices to ensure the accuracy, consistency, and security of your data.
- Improved data quality: We use the latest data engineering technologies and tools to identify and fix data quality issues, enabling you to make better decisions based on reliable data.
- Increased ROI: By investing in data engineering, companies can unlock the full potential of their data, leading to better insights, improved decision-making, and increased profitability.
What does a Data Engineering project typically involve?
A Data Engineering project involves the following key elements:
- Identifying the client's needs: Our team of experts works closely with clients to understand their business needs and design a tailored solution that meets their unique requirements.
- Designing a highly scalable and efficient data solution: Our team leverages the latest data engineering technologies and tools to design a solution that is highly scalable, efficient, and meets the specific needs of the client.
- Implementing the ETL processes: Our team has extensive experience in implementing Extract, Transform, Load (ETL) processes to transform and load data from various sources into a centralized repository.
- Validating and verifying data quality: Our team understands the importance of data quality and rigorously validates and verifies the data to ensure its accuracy and consistency.
- Delivering an analytical, data-driven solution for your organization: Our team delivers a comprehensive, analytical solution that provides meaningful insights and helps clients make informed business decisions based on data.
How does Altoros handle data privacy and data security?
At our company, safeguarding the privacy of your data is our top priority. Our team has extensive experience in handling sensitive information and is adept at implementing rigorous security protocols that comply with various privacy regulations, including ISO 27001, GDPR, and CCPA.
Do you offer any consulting services?
Yes, we offer consulting services to help clients understand their data needs and develop a strategy aligned with their business goals. Our services include evaluating current infrastructure, optimizing performance and cost, and providing guidance on data governance and privacy. Our experts can help design a tailored data architecture to meet unique organizational needs.
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