Hadoop Consulting and Support Services
On a Mission to Create High-Performing and Scalable Solutions for Big Data Storage and Processing
In big data since 2013 and in data analytics since 1989, ScienceSoft designs, develops, supports, and evolves big data solutions based on the technologies of the Apache Hadoop ecosystem.
Hadoop services help businesses efficiently build big data solutions based on HDFS, MapReduce, and YARN, as well as other Apache projects, custom and commercial tools. Such solutions enable big data ingestion, storage, querying, indexing, transfer, streaming, and analysis.
All the Help You Need with Hadoop Projects
ScienceSoft offers all kinds of services to help mid-sized and large businesses build tailored operational and analytical big data systems. We cover everything – from strategy and planning to implementation and managed services.
Hadoop consulting
- Auditing the related existing IT environment.
- Analyzing potential Hadoop use cases.
- Conducting a feasibility study.
- Creating a business case, including ROI estimation.
- Designing the solution’s architecture.
- Planning the evolution of a Hadoop-based solution.
- Data modeling.
- Planning the migration of a data warehouse or the migration from disparate storage systems (if needed).
- Analyzing and designing security requirements.
- Creating a detailed deployment plan.
- Developing a disaster recovery plan.
- Designing and implementing a data transformation process.
- Developing data ingestion and data quality rules.
- Orchestrating workflows, creating custom algorithms for data processing and analysis, e.g., writing custom MapReduce code, Pig scripts, Hive queries, machine learning algorithms.
- Deploying, configuring, and integrating all architecture components of a big data solution.
Hadoop-based app QA and testing
- Designing an overall QA strategy and test plan for the entire Hadoop-based app and its analytical and operational parts.
- Designing test automation architecture.
- Choosing an optimal testing toolkit.
- Setting up and maintaining the test environment,
- Generating and managing test data.
- Developing, executing, and maintaining cases and scripts for functional, regression, integration, performance, and security testing.
Hadoop support
- Development of new logic for data processing, data cleaning, and data transformation.
- 24×7 Hadoop-based application administration.
- Continuous performance monitoring.
- Ongoing optimization of applications, data, and IT infrastructure.
- Proactive and reactive support: problem resolution, root-cause analysis, and corrective actions.
- Security management.
- Backup and replication configuration.
Let ScienceSoft Show You the Best of Hadoop
Enjoy the benefits of a beneficial, efficient, fast and secure big data solution. Leave the rest to ScienceSoft.
- In IT since 1989.
- Practical experience with 30+ industries, including BFSI, healthcare, retail, manufacturing, education, and telecoms.
- 700+ experts on board, including IT consultants, big data architects, Hadoop developers, Java, .NET, Python developers, DataOps engineers, and more.
- Established Agile and DevOps practices.
- A Microsoft partner since 2008.
- An AWS Select Tier Services Partner.
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Quality-first approach based on a mature ISO 9001-certified quality management system.
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Customers’ data security ensured by our ISO 27001-certified information security management system that bases on unfailing practices and policies, advanced techs and security-savvy IT experts.
- For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies by the Financial Times.
Join Our Happy Clients
We needed a proficient big data consultancy to deploy a Hadoop lab for us and to support us on the way to its successful and fast adoption. ScienceSoft's team proved their mastery in a vast range of big data technologies we required: Hadoop Distributed File System, Hadoop MapReduce, Apache Hive, Apache Ambari, Apache Oozie, Apache Spark, Apache ZooKeeper are just a couple of names. ScienceSoft's team also showed themselves great consultants. Special thanks for supporting us during the transition period. Whenever a question arose, we got it answered almost instantly.
We would certainly recommend ScienceSoft as a highly competent and reliable partner.
Kaiyang Liang Ph.D., Professor, Miami Dade College
Technologies We Use in Our Hadoop Projects
Apache projects and tools
A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.
Programming languages
Practice
25 years
Projects
110+
Workforce
40+
ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.
Practice
19 years
Projects
200+
Workforce
60+
Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
Machine learning
Databases
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Data governance
We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.
DevOps
Containerization
Automation
CI/CD tools
Monitoring
FAQ
Our Featured Hadoop Projects
Big Data Implementation for Advertising Channel Analysis in 10+ Countries
- We modernized an analytical system to track advertising channels in 10+ countries.
- The new system enables a cross-analysis of ~30K attributes and builds intersection matrices allowing multi-angled analytics for different markets.
- The new system is able to process queries up to 100 times faster than the outdated solution.
Collaboration Software MVP for an International Consulting Company
- In 10 months, we built a complex MVP based on Delta Lake with a mechanism for multi-layered data storage.
- The MVP enabled quick processing of heterogeneous data on the Customer’s projects from multiple sources and the possibility to track the record of the added, modified, and deleted data.
- ScienceSoft ensured secure storage of voluminous client data, data archiving, and advanced data processing capabilities.
Hadoop Lab Deployment and Support
- We deployed an on-premises Hadoop lab for one of the largest US colleges that serves a valuable source of practical knowledge for the students.
- Our consultants also conducted a number of remote training sessions, where we explained in detail how each component of the data platform should work, and prepared detailed guides explaining how to work with the lab.
- Key technologies: Hadoop, Apache Hive, Apache Spark.
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