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Big Data Development Company

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Big Data Services

Our Big Data Expertise

Our Proficiency, Your Benefit

Modern businesses have to deal with diverse data types, in large volumes, and more often than not, from disparate sources. This can be anything from customer transaction data, financial records, web logs, social media interactions, etc. Big data is the task of accruing diverse formats of data in large volumes and analyzing them at a rapid velocity for data-driven business insights. Between 2019 and 2025, Big Data services are expected to grow into a USD 5,356.8 million market.

As such, businesses need service providers that can dedicatedly assist them with Big Data-as-a-Service (BDaaS) operations. HourlyDeveloper is a Big Data services provider that assists businesses with Big Data technologies, by combining them with Cloud-native technologies, tooling, and practices. We employ an esoteric knowledge of data science, infrastructure, and technology to help your business gain strategic, and data-driven advantages over competitors.

Our Big Data Services

HourlyDeveloper’s Big Data services are designed to maximize the value of your operations, so your brand can infer more complex insights that are out of your competitor’s reach. At HourlyDeveloper, we deal with a range of complex Big Data services like consultation, implementation, support, and more. We assist diverse businesses with data-driven transformations using prominent BDaaS services from Microsoft, Amazon, Oracle, and the like.

Big Data Services Consultation

Big Data Services Consultation

As a Big Data Development company, HourlyDeveloper can assist your business with strategic Big Data consultation. We can guide your in-house Big Data experts with data-driven roadmaps for data quality management, analysis, solution architecture, etc. Thanks to our guidance, your business can create custom recommendation engines by analyzing the conversion propensity, customer satisfaction, sentiment analysis, et al.

Big Data Pipeline Management

Big Data Pipeline Management

HourlyDeveloper consults, engineers, and implements data-driven Big Data pipelines for business enterprises, through real-time historical data batch processing, Machine Learning, data platform management, and end-to-end analytics. We can help your pipeline scale for smoother data ingestion, to collate multi-variant data from disparate sources, and monitor the same using intuitive interactive dashboards.

Big Data Implementation

Big Data Implementation

HourlyDeveloper assists businesses with Big Data architecture analysis, so brands have more clarity in terms of Big Data-Ops improvements, automation, data, and event-based infrastructure. We can assist your brand with Big Data best practices for preparation and visualization specific to your industry and customer needs w.r.t. Predictive maintenance, condition monitoring, demand forecasts, inventory planning, market segmentation, etc.

Big Data Analysis

Big Data Analysis

HourlyDeveloper’s Big Data analysis services include strong analytics practices for existing pipelines. We can scrutinize the pipeline performance and recommend better architecture solutions and designs. Our solution development includes SQL and NoSQL analysis from data lakes, DWH, ETL/ELT set-ups, big data reporting and dashboarding, and set-up of data governance (security and quality compliance).

Big Data For Machine Learning

Big Data For Machine Learning

Machine Learning is a big help in terms of data manipulation on distributed file systems. We can build machine learning models for prompt deployment using high-performance libraries with scalable, parallelized algorithms. We are equally adept at using Oracle Machine Learning for Spark R and Apache Hadoop HDFS, Spark DataFrames, and other JDBC sources.

Big Data Support Services

Big Data Support Services

Our Big Data support services include solution administration for existing Big Data pipeline problems. This could be with software innovation or pipeline scalability, or even implementation of Big Data schema on new processes. As a Big Data Development company, we can also assist with Big Data scrubbing, structuring, backup, recovery, solution health checks, solution performance monitoring, and troubleshooting.

Our Hiring Model

Hire Developer
Full Time Full Time

It Includes:

Duration : 160 Hours/Month

Communication : Slack, Skype, Phone, Chat, Email, etc.

Hiring Period : Monthly

Project Trackers : Jira, Daily Reports, Basecamp, etc.

Methodology: Agile

Dedicated TeamDedicated Team

It Includes:

Team Members : 1 (PM), 1 (QA), 4 (Developers)

Communication : Slack, Skype, Phone, Chat, Email, etc.

Hiring Period : Monthly

Project Trackers : Jira, Daily Reports, Basecamp, etc.

Methodology: Agile

HourlyHourly

It Includes:

Duration : Hourly Basis

Communication : Slack, Skype, Phone, Chat, Email, etc.

Hiring Period : 24 Hours (minimum)

Project Trackers : Jira, Daily Reports, Basecamp, etc.

Methodology: Agile

Offshore Dev CenterOffshore Dev Center

It Includes:

Location : Development Center Set Up In India

Team Members : 20 Minimum

HourlyDeveloper Team : Project Managers, HR, Legal, Accounts & Support Team

Communication : Slack, Skype, Phone, Chat, Email, etc.

Project Trackers : Jira, Daily Reports, Basecamp, etc.

Why Hire Big Data Development Company?

Improved Customer Retention

Improved Customer Retention

User behavior tells us a lot about what they prefer, what they expect from a service, etc. As a business, you can capitalize on this customer profiling to tailor a service specific to customer needs, which in turn boosts their satisfaction and loyalty towards your brand.

Focused Campaigns

Focused Campaigns

Big Data plays a prominent role in targeted marketing. This prevents your business from frivolously spending on unnecessary actions that do not yield conversions. Focused campaigns also help in winning customer satisfaction and loyalty.

Service Innovation

Service Innovation

Gatheration of service data allows your business to innovate your services, besides personalizing the customer experience. Data-driven insights are critical to product and service innovation so that both intra-business and customer-facing processes can be optimized.

Risk Identification

Risk Identification

Data collection from customers allows your business to circumnavigate campaign pitfalls. Big data allows the preemptive identification of pain points in your business processes, so you can optimize them for profitable business outcomes.

B2B Network Enhancement

B2B Network Enhancement

B2B processes involve the exchange of precise insights so supplier networks can cater to a more strategic business relationship with your brand. With Big Data you can ensure that your brand and its suppliers have more contextual business intelligence.

Cost-Curbing

Cost-Curbing

Big Data analysis reveals how your business can curb production and marketing costs. This in turn helps to curb the cost of your product/service. Resultantly, minimized cost invites more customers to your brand, placing it steps ahead of the market competition.

Why Choose Us?

Fast Onboarding-To-Production

Fast Onboarding-To-Production

HourlyDeveloper deals with all Big Data job requests in a time-sensitive fashion. Our Big Data specialists are quick to respond to your SRS with a quotation and advisory, so the requirement moves forward rapidly.

Flexible Service Pricing & Model

Flexible Service Pricing & Model

HourlyDeveloper has multiple service packages, a client-centric service. It helps ensure that our clients pay only for a service that is proportional to their operational scale.

Certified Software Engineering Resources

Certified Software Engineering Resources

We have certified Big Data experts who are proficient in the best practices and tooling applicable in the field. They can provide your brand with value-added Big Data services that benefit your brand long after we have met SLAs.

Faster Time-To-Market

Faster Time-To-Market

HourlyDeveloper’s big data solutions can help improve operational efficiency. Our preemptive Big Data inferences detect patterns and trends faster than your competition, so your strategic solutions reach the market on time.

Hire Developer
Consulting Startups, SMEs & Fortune 500 Companies star1 Hire Vetted Well-Groomed Developers In Your Country's Time Zone.
Consulting Startups, SMEs & Fortune 500 Companies star2 Hire Vetted Well-Groomed Developers In Your Country's Time Zone.
Consulting Startups, SMEs & Fortune 500 Companies star3 Hire Vetted Well-Groomed Developers In Your Country's Time Zone.
Consulting Startups, SMEs & Fortune 500 Companies star4 Hire Vetted Well-Groomed Developers In Your Country's Time Zone.
25+ Years Of Experience - 220+ Qualified Engineers star5 High-Quality Software Developers - Award Winning Apps Developed
25+ Years Of Experience - 220+ Qualified Engineers star6 High-Quality Software Developers - Award Winning Apps Developed
25+ Years Of Experience - 220+ Qualified Engineers star7 High-Quality Software Developers - Award Winning Apps Developed
25+ Years Of Experience - 220+ Qualified Engineers star8 High-Quality Software Developers - Award Winning Apps Developed

People Talk About Us

Marc Selzer

When we wanted to launch our service to a global market, we were quite apprehensive about the cost and the technology. We are not exactly technically-sound entrepreneurs. But, HourlyDeveloper built and deployed the app exactly as we wanted. Not only that, but they have also assisted in maintaining and scaling the app service.

Marc Selzer

Melbourne, Australia

Jacob Lefcourt

HourlyDeveloper has helped improve our enterprise applications for better ETL performance, cybersecurity, data decentralization, and other business-oriented purposes. We have been able to meet our annual revenue goals thanks to a more sound technological partnership.

Jacob Lefcourt

California, USA

Andy Michelis

We cannot thank HourlyDeveloper enough for helping our mom-and-pop business become a successful eCommerce service within our operative area. Now, our store has the same features as the big names like Amazon and eBay, and our customers are happier. Thank you, HourlyDeveloper.

Andy Michelis

Manchester, UK

Hassan Mohamed

We were looking for a dedicated mobile app developer for hire and preferably overseas, as the cost of hiring a development agency in the US goes through the roof! We found a hidden gem in the interwebs when we stumbled across HourlyDeveloper. They have been our technological partner mainstay since we opened shop. As long as HourlyDeveloper continues to innovate, we’re here to stay!

Hassan Mohamed

Chicago, USA

Blanche Labelle

‘Take it from a business owner, that ‘best app developers’ is a matter of substance and not brand image and marketing. In a short span of time, HourlyDeveloper did for my SME what several other development agencies considered a monumental task. Now, not only do I cater to customers with ease, all my employees can work flexibly thanks to this Cloud-based productivity platform that HourlyDeveloper has given us!’

Blanche Labelle

France,Europe

Awards & Recognitions

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Frequently Asked Questions?

Big data as a service offers data platforms and tools from a cloud provider to help businesses manage large amounts of data and analyze it to provide insights that can be used to improve business operations and gain a competitive advantage. The goal of big data as a service (BDaaS) aims to free up organizational resources by utilizing a third party's data management tools and IT know-how rather than installing on-premises systems and hiring internal people to perform such tasks.

Predictive analytics makes predictions about future outcomes based on historical data as well as statistical modeling, data mining, and machine learning techniques. This data is used by companies to identify risks and opportunities by employing predictive analytics. Data scientists use deep learning and machine learning algorithms to gain insights from this data and predict future events. Logistic and linear regression models, neural networks, and decision trees are among these statistical techniques.

The automated transfer and transformation of data between a source system and a target repository is accomplished by a set of tools and procedures known as a data pipeline. When integrating data, data pipelines are employed. For business intelligence (BI), data analysis, and other applications and business processes, data integration is the act of combining data from several sources to create a comprehensive and accurate dataset. Historical data or real-time data are the two main categories that make up the needs and use cases for these analytics, applications, and procedures.

The act of importing massive, diverse data files from several sources into a single, cloud-based storage medium—a data warehouse, data mart, or database—where they can be accessed and analyzed is known as "data ingestion". An extract/transform/load (ETL) procedure is used to clean and transform data into a uniform format because it may be in many different forms and come from a large number of sources.

An agile, process-oriented methodology for creating and delivering analytics is called DataOps (data operations). In order to provide the tools, procedures, and organizational frameworks needed to support the data-focused company, it brings together DevOps teams with data engineers and data scientists. The technique is also focused on "enhancing the communication, integration, and automation of data flows between data managers and data consumers across an organization," according to research firm Gartner.

As a Big Data Development company, our goal is to help you understand whether and how big data can improve your business. As part of our big data architecture design services, we review your existing big data architecture or design a new one, always ensuring that it is as high-performing, secure, resilient, cost-efficient, and easy to maintain as possible. The team is also capable of designing, developing, deploying, supporting, and evolving organization-wide big data platforms and dedicated big data solutions. Our big data visualization services help you gain valuable insight from your big data. Our data warehouse and analytics solutions provide accurate and intuitive reports and dashboards. Lastly, we can also help automate data quality management and monitoring and professionally handle data compliance and security.

Yes, we provide DevSecOps, or data security operations, and services. To prevent data breaches, our DevSecOps procedures and boilerplates make sure that security and governance best practices are integrated throughout the development process. This is accomplished by putting into practice a data strategy with security as a key and vital factor. You may feel secure knowing that your big data environment is safe with our data security services.

By leveraging big data services, businesses can take advantage of the data-driven insights to create a more personalized and engaging client experience. Using big data services, businesses can better understand their customers, identify areas of opportunity, and build tailored solutions that meet their needs. This data can be used to develop more personalized experiences, improve customer service, and create more engaging marketing campaigns.

Big data services are best used when you need to analyze large amounts of data quickly. They can provide insights into customer behavior and help businesses make better decisions. Additionally, they can be used to identify trends, optimize operations, and increase efficiency. For organizations with large data sets, big data services can provide an invaluable resource. Through DataOps, our big data consultants can assemble and process consumer data from various channels in real-time to help you address the pain points at the right time.

Data governance is crucial because it goes beyond simple data management and master data management and enables data citizens to gain access to the appropriate information and value from the data. Everyone on the team benefits from effective data governance throughout the entire organization. Many use cases can be addressed by data governance, but data governance adds value to various situations in comparable ways. Collaboration between people is facilitated by data governance. Data governance gives meaning to data.