Hadoop Consulting and Support Services

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 engineering 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.

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 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 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.