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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 - ScienceSoft
Hadoop Services - ScienceSoft

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.

Contact the team

Why Choose ScienceSoft for Your Hadoop Projects

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.

See how we do that

Join Our Satisfied Clients

Star Star Star Star Star

Garan’s operations largely depend on timely analytical insights, so when the performance of our big data reporting solution decreased dramatically, we needed to fix the problem as quickly as possible. ScienceSoft’s consulting on Hadoop and Spark made a tremendous difference. The changes we made on their advice helped our data processing speed drop from hours to minutes.

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. Whenever a question arose, we got it answered almost instantly.

Hadoop-Related Technologies We Use

Head of Data Analytics at ScienceSoft

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?

Please answer a few questions about your needs to help our consultants estimate the cost of your Hadoop project faster.

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*What type of company do you represent?

*What type of app do you need assistance with?

*Does your app have any specific compliance requirements?

*Approximately how many users will use the application?

*What is the current or expected data volume?

*Which statement best describes your case?

*What services are you interested in?

Please tick the box if you already have any of these:

Have you decided on the tech stack for the app?

?

Including programming languages, frameworks, cloud platforms, etc.

Do you need integrations with any existing systems or software?

?

Examples of system types that can be integrated with a Hadoop-based application include third-party web services, business apps (CRM, ERP, BI systems), cloud services, etc.

*What stage is your software at?

*What kind of help do you need?

Does your app integrate with any existing systems or software?

?

Examples of system types that can be integrated with a Hadoop-based application include third-party web services, business apps (CRM, ERP, BI systems), cloud services, etc.

*What stage is your software at?

What is your current Hadoop setup?

Please indicate what cloud(s) you are using.

Please indicate what cloud(s) you are using.

*What challenges are you facing?

*What stage is your software at?

*What kind of help are you interested in?

What is your current Hadoop setup?

Please indicate what cloud(s) you are using.

Please indicate what cloud(s) you are using.

Does your app integrate with any existing systems or software?

?

Examples of system types that can be integrated with a Hadoop-based application include third-party web services, business apps (CRM, ERP, BI systems), cloud services, etc.

What is the expected number of tickets per month?

What is the needed time coverage?

What is the expected number of change requests per month?

Your contact data

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Thank you for your request!

We will analyze your case and get back to you within a business day to share a ballpark estimate.

In the meantime, would you like to learn more about ScienceSoft?

Our team is on it!

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

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Apache Cassandra vs. Hadoop Distributed File System: When Each is Better

Find out the key distinctions between Apache Cassandra and HDFS.

We Are Up for New Interesting Hadoop Projects!

Share your vision, scope, business challenges, anything — and our Hadoop experts will be quick to get back with ideas, recommendations, and actions to discuss.