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 project planning to implementation and managed services. With mature project management practices, we drive projects to their goals regardless of time and budget constraints.
Hadoop consulting
Hadoop consulting is a way to get expert advice and guidance on how to effectively implement, migrate, and configure Hadoop. ScienceSoft's Hadoop consultants can:
- Audit the existing IT environment.
- Analyze potential Hadoop use cases.
- Conduct a feasibility study.
- Create a business case, including ROI estimation.
- Design/redesign the architecture of a Hadoop-powered solution.
- Improve performance and security.
- Conduct Hadoop-related training for your in-house teams.
- Develop a disaster recovery plan, and more.
Hadoop development services refer to creating Hadoop-powered solutions tailored to an organization's specific needs. These services include:
- Developing data ingestion and data quality rules.
- Creating custom algorithms for data processing and analysis, such as writing custom MapReduce code, Pig scripts, Hive queries, and machine learning algorithms.
- Deploying, configuring, and integrating all architecture components of a big data solution.
QA and testing of Hadoop-based apps
To ensure the quality of a Hadoop-based application and its analytical and operational components, a comprehensive QA strategy and test plan must be designed and executed. This involves:
- Creating a test automation architecture.
- Selecting the most suitable testing toolkit.
- Creating and maintaining a test environment.
- Generating and managing test data.
- Developing, executing, and maintaining test cases and scripts for functional, regression, integration, performance, and security testing.
Hadoop support
Hadoop support is a way to ensure the smooth and efficient operation of Hadoop-based apps. These services may involve:
- Problem resolution, root-cause analysis, and corrective actions.
- Bug fixing.
- Upgrades.
- Backups and disaster recovery.
- Continuous performance and security monitoring and management.
- Development of new logic for data processing, cleaning, and transformation.
Support services can be provided on an ongoing basis or as needed, depending on the organization's requirements.
Hadoop migration
Hadoop migration is the process of moving data and applications from one Hadoop environment to another. This can involve:
- Planning and implementing migration from an on-premises Hadoop cluster to a cloud-based Hadoop environment, e.g., on AWS, Azure.
- Migrating from one Hadoop distribution to another, e.g., from a commercial Hadoop distribution (e.g., Cloudera Data Platform, Hortonworks Data Platform) to vanilla Hadoop.
Let ScienceSoft Show You the Best of Hadoop
Enjoy the benefits of efficient, fast and secure data processing and analytics on Hadoop. Leave the rest to ScienceSoft.
Why Choose ScienceSoft for Your Hadoop Projects
- In IT since 1989.
- Practical experience with 30+ industries, including BFSI, healthcare, retail, manufacturing, education, and telecoms.
- 750+ 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.
- 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.
- ScienceSoft is a 3-Year Champion in The Americas’ Fastest-Growing Companies Rating by the Financial Times.
What makes ScienceSoft different
We achieve project success no matter what
ScienceSoft does not pass off mere project administration for project management, which, unfortunately, often happens on the market. We practice real project management, achieving project success for our clients no matter what.
Hadoop-Related Technologies We Use
We typically recommend Hadoop deployment in the cloud for applications requiring elasticity and potential changes in computing resource consumption. On-premises deployment may be a viable option for projects with strict security requirements, a static scope, and a willingness to invest in hardware, office space, and DevOps team ramp-up.
Our Featured Hadoop Projects
Get a Ballpark Cost Estimate for Your Case
How Much Will Your Hadoop Project Cost?
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In the meantime, would you like to learn more about ScienceSoft?
- Project success no matter what: learn how we make good on our mission.
- 35 years in data management and analytics: check what we do.
- 4,000 successful projects: explore our portfolio.
- 1,300+ incredible clients: read what they say.
FAQ
To build a Hadoop-based application, should we simply install and tune all the required frameworks?
Building a Hadoop-based solution is a lot more than that. 95% of big data implementation is custom development.
It looks like a huge, long-lasting project that costs a fortune. How do you manage investment risks?
We always conduct a feasibility study, target positive financial outcomes, and deliver ROI estimates. We also ensure our clients start getting value early and proceed iteratively.
Can we use Hadoop for real-time data processing?
Yes, absolutely. For that, ScienceSoft can leverage such techs as Apache Storm, Apache Spark Streaming, Apache Samza, and Apache Flume.
More about Hadoop
Complete Guide to Hadoop Implementation
Learn six key steps in Hadoop implementation projects, the talents and skills required for them, and check the cost of your Hadoop initiatives.
Spark vs. Hadoop MapReduce: Which big data framework to choose
Learn the major difference between Hadoop MapReduce and Spark and check when each of them works best.
Apache Cassandra vs. Hadoop Distributed File System: When Each is Better
Find out the key distinctions between Apache Cassandra and HDFS.