Big Data Development Services

Willing to develop a big data project?

Our big data development services

Whether a client is unsure about the quality of a company’s data or needs help with migrating big data into the cloud, Innowise is always there to help. Our company embraces professional data solutions of any complexity level. We build data lakes, set up ETL/ELT processes, develop big data applications as well as provide other data-related services listed below.

Big data consulting

We discuss a client’s company's goals and compare them with current processes to decide what data solutions fit a particular business best. As a result, we provide recommendations and strategies, as a leading IT advisory in our field.

Big data analytics

Innowise analyzes all types of data from every single resource to uncover beneficial insights such as hidden patterns, undefined correlations, and other useful information to improve processes.

Big data management

Our developers create a proper big data infrastructure by setting up data lakes, designing data pipelines, and adjusting ETL and other processes that keep the client’s data structured and secured.

Big data visualization

We present the information in the most familiar and easy-to-understand forms using different tools such as dashboards, storyboards, etc. This step significantly speeds up the decision-making process.

Data quality management

Innowise ensures that all the specialists, processes, and technologies integrated into the data process work coherently and deliver the expected results on time.

Big data testing

Our big data testing tools provide data quality and accuracy. We ensure that all the relevant data systems are automated and synced, as well as perform without issues.

Data migration

With Innowise, cloud migration will be quick and smooth. Our cloud data engineers will set up a client’s data lake to transfer the enterprise data in the shortest time with minimum costs.

Big data mining

We use machine learning and visualization to sort and extract patterns and meaningful insights from large amounts of data. Our team will get valuable information even from an immense volume of data.

Big data development

A team of our technical specialists conducts defect audits and troubleshooting, provides support and optimization of applications, and performs regular code reviews. Our PHP experts provide invaluable advice on how to avoid mistakes and reduce risks.

Data integration

Our experts employ ETL/ETL processes, replicate, and virtually combine data to create a unified collection of information for analytical and operational purposes.

Big data automation

Innowise uses advanced technologies to enhance automated processes that recognize insightful data values and patterns. As a result, our clients save long-term on business operations.

Dedicated data engineers

In case a client’s in-house team lacks certain big data expertise, Innowise is willing to outsource qualified staff members who possess relevant skills and knowledge.

Our big data software development expertise

We provide big data services for companies of different sizes, from VC-backed startups to SMEs and corporations. Below we list the key areas of expertise that Innowise has gained over the years of intense collaboration with clients from around the world.

Data engineering

Innowise creates software that optimizes the data flow and extracts valuable insights that increase an organization’s productivity and performance.

Business intelligence and data analytics

Our team builds both BI and data analytics tools that bring data management to the next level and allow businesses to forecast trends.

Artificial intelligence and machine learning

As a leading artificial intelligence development company, we develop smart technologies that self-learn the algorithms and drive predictions that implement ROI-driven adjustments into clients’ businesses.

Data science

We use it to enhance our big data projects and maximize the value of data belonging to our clients. Data science helps improve data analysis and thus achieve business goals.

Data storage

Our team builds solutions that improve the capacity of data storage as well as memory management. We pay particular attention to creating advanced architecture.

Data quality

Innowise develops advanced tools that measure the data condition in terms of accuracy, evaluability, and consistency to avoid any losses, errors, or inadequacies.

Data management automation

This is indispensable for vast masses of data flows. Efficient data automation allows speedy processing, hence quicker extraction of valuable insights, and hence faster business decision-making.

Data security

We use the best tools to develop a data security infrastructure, which is essential for any data system. It protects a company’s valuable information assets from various cyber threats.

Data visualization and design

Innowise develops solutions that help illustrate the data most comprehensively. Our professionals create customized dashboards, storyboards and reports among other services.

Need professional big data consulting and development services?

Our team will bring your project to the next level.

Industry-specific big data solution use cases

Over the years, Innowise has provided a range of tailor-made big data solutions for clients from + countries worldwide, and the demand continues to grow. This is because today one cannot imagine any industry growth without proper big data services. Below we list the most common examples of how big data solutions transform key industries.

Solutions for big data in eCommerce provide deep customer data analysis by collecting information about orders and preferences. This is a huge step towards boosting our clients’ sales.

Retail and eCommerce

Innowise provides banking software solutions, risk analytics and effective strategies to ensure the security of financial transactions as well as sensible banking data. We have also leveraged big data to improve the financial software development.

Finance, banking, insurance

Big data in custom healthcare software development deals with electronic health records, real-time alerting, and medical research among many other issues. Our case studies include securing big data flows for world-class MedTech providers.

Healthcare

In this industry, big data developers focus on personalized experience, monitoring learning achievement and game-based eLearning. We've also utilized big data to enhance educational solutions.

Education

Predictive analytics helps companies to avoid unprofitable promotions among other benefits. Using big data tools, enterprises can make the right priorities and business calculations.

Marketing and sales

A correctly set data strategy can be a game-changer that fulfills a company’s business goals. Innowise’s developers turn massive databases into profitable analytics insights.

Enterprise

Big data solutions enable companies to optimize the availability of items in stock and decrease delivery times. Proper inventory management helps to avoid under- or overstocking.

Logistics and supply chain

Improved analytics combined with big data development facilitates proper production planning as well as the improvement of working conditions. Our team has notable cases of improving workspace safety by our custom manufacturing software development.

Manufacturing

Electricity and water supplies are crucial, hence predictive analysis means a lot. Innowise can develop relevant big data solutions to calculate energy demand and prices in advance.

Energy and Utilities

Big data solutions are widely used in agricultural services to monitor the state of soils and fields, the effectiveness of certain fertilizers, crop progress, and other crucial indicators.

Agriculture

Automotive companies can improve product quality, manage risks, and cut costs by leveraging data from customers, vehicles, and factories. Contact Innowise to optimize an engineering solution.

Engineering

Big data uncovers deep consumer preferences that enable media planning agencies to create successful advertising campaigns and plan future content.

Media and entertainment

Retail and eCommerce

Solutions for big data in eCommerce provide deep customer data analysis by collecting information about orders and preferences. This is a huge step towards boosting our clients’ sales.

Retail and eCommerce

Finance, banking, insurance

Innowise provides risk analytics and effective strategies to ensure the security of financial transactions as well as sensible banking data.

Finance, banking, insurance

Healthcare

Big data in healthcare deals with electronic health records, real-time alerting, and medical research among many other issues. Our case studies include securing big data flows for world-class MedTech providers.

Healthcare

Education

In this industry, big data developers focus on personalized experience, monitoring learning achievement and game-based eLearning. We have also applied big data solutions to improve education and training.

Education

Marketing and sales

Predictive analytics helps companies to avoid unprofitable promotions among other benefits. Using big data tools, enterprises can make the right priorities and business calculations.

Marketing and sales

Enterprise

A correctly set data strategy can be a game-changer that fulfills a company’s business goals. Innowise’s developers turn massive databases into profitable analytics insights.

Enterprise

Logistics and supply chain

Big data solutions enable companies to optimize the availability of items in stock and decrease delivery times. Proper inventory management helps to avoid under- or overstocking.

Logistics and supply chain

Manufacturing

Improved analytics combined with big data development facilitates proper production planning as well as the improvement of working conditions. Our team has notable cases of improving workspace safety.

Manufacturing

Energy and Utilities

Electricity and water supplies are crucial, hence predictive analysis means a lot. Innowise can develop relevant big data solutions to calculate energy demand and prices in advance.

Energy and Utilities

Agriculture

Big data solutions are widely used in agricultural services to monitor the state of soils and fields, the effectiveness of certain fertilizers, crop progress, and other crucial indicators.

Agriculture

Engineering

Automotive companies can improve product quality, manage risks, and cut costs by leveraging data from customers, vehicles, and factories. Contact Innowise to optimize an engineering solution.

Engineering

Media and entertainment

Big data uncovers deep consumer preferences that enable media planning agencies to create successful advertising campaigns and plan future content.

Media and entertainment

Benefits of using big data

Big data services come with a lot of benefits for businesses of all sizes, including improved customer retention, focused targeted ads campaigns, as well as correct risk assessment and identification. Innowise has built numerous big data projects for clients from around the world, and our specialists can confirm that big data remains one of the finest investments for the reasons mentioned below.

Improved decision-making

After processing big data, one can retrieve valuable insights and patterns that can contribute to better analysis and correct predictions that will enable more informed and backed up decisions.

Cost-effectiveness

Big data analytics saves companies a lot of money by proper allocation of resources and time. The prediction models and other extracted beneficial insights reduce risks and costs.

Better operational performance

A correctly set data architecture improves the automation of routine processes and tasks. As a result, a lot of time is saved, while efficiency increases.

Improved customer service

Big data allows a company to constantly track customer demands and preferences along with market trends. This helps to create more targeted marketing strategies and improve customer experience.

Enhanced risk management

With predictive data analytics businesses can avoid risks of overstocking/understocking or other major operational failures or inadequacies.

Data insights and innovation

Valuable insights that result from successful data analytics can be used to develop innovative strategies, products, and technologies that outperform competitors.

Big data and advanced technologies

Big data highly integrates with other advanced technologies such as artificial intelligence and machine learning. Such integration helps to achieve maximum results in the shortest time along with such advantages as safety, cost-efficiency, and accuracy of operations. At Innowise, we have a range of professionals capable of performing big data integration with a range of state-of-the-art technologies.

Machine learning

Machine learning comes to help when using the collected data efficiently becomes a challenge. The more data a machine learning system receives, the more it learns to function better.

Data science

These technologies produce great results if combined. While big data analytics is about extracting valuable information, data science focuses on producing predictive models.

Internet of things

In fact, they are inseparable. While the IoT collects data through sensors from physical objects, big data technology quickly processes this data as well as efficiently stores it.

Blockchain

These technologies can be perfectly cooperative. Blockchain-based big data solutions are exceptionally secure due to the network architecture as well as valuable and structured.

Willing to bring big data to your business?

Innowise is there for you

Big data technologies and tools we use

Innowise uses the most advanced technologies to build the top big data solutions.

Amazon S3
Azure Data Lake
Apache Hadoop
GCP Cloud Storage

Cassandra
Azure Cosmos DB
Azure Synapse Analytics
Amazon Redshift
Amazon DynamoDB

Apache Hive
Apache HBASE
Apache Nifi
MongoDB

Apache Airflow
Apache NiFi
Talend
Informatica

Zaloni
Apache ZooKeeper
Azkaban
Dremio

Apache Kafka
Apache Storm
Apache Spark
Apache Flink

Apache Druid
Apache Hadoop MapReduce
Apache Giraph

Matlab
Amazon Machine Learning
Apache Spark MLib
TensorFlow
Octave
R
Amazon SageMaker

Azure Machine Learning
Google Cloud Al Platform
Open CV
SpaCy
Keras
Apache Mahout
Gensim

Python
Java
C++

Scala
R

Hire big data developers

It might be difficult to find qualified and experienced big data professionals, especially outside big cities. Therefore, hiring a remote big data developer for a particular project might be a great option.Innowise has been present in the global IT market for + years, with + completed projects for international clients. Our staff members include many experienced big data professionals, with most of them being middle and higher. We carefully approach corporate hiring and make sure that our specialists possess both excellent hard and soft skills to be able to work efficiently worldwide.

AWS data engineers

They are alternatively known as Amazon data engineers and use Amazon Web Services for various data tasks, including projects for Coca-Cola, Netflix, and Volkswagen.

Azure data engineers

They operate through the Microsoft Azure platform. Such companies as Asos, Bosch, and PepsiCo have implemented several projects with the help of this platform.

GCP data engineers

They work with Google Cloud Platform and provide data management solutions. Such market giants as Ikea, Spotify, PayPal, and Procter & Gamble employ GCP data engineers for various projects.

DataOps engineers

They don’t work with data itself, but with the operation line that is used to build data. They use all the previously mentioned platforms (Azure, GCP, AWS) as well as others to follow the data flow process.

Available big data engineers for hire

Arthur G.

Middle Data Engineer 4+ years experience

SUMMARY

Passionate about working with huge datasets middle data engineer with over 3 years of experience in designing and developing ETL and DWH for analytics and ML.

Apache Airflow Apache Hadoop Apache Hive Apache Spark AWS Azure

Java Kafka Numpy Pandas Pyspark Python SAP

Request full CV

Jack S.

Senior Data Engineer 5+ years experience

SUMMARY

Senior data engineer with over 5 years of experience in data processing with a wide range of technologies. Mainly focused on gaming, social, and real estate domains.

Apache Airflow Apache Hadoop Apache Spark AWS Azure dbt

Kafka Looker Pyspark Python SingleStore

Request full CV

Adam Y.

Senior Data Engineer 5+ years experience

SUMMARY

Self-motivated professional specializing in DWH/ETL, database and cloud-based development. Mainly focused on analytics, financial, and e-commerce domains.

Apache Airflow Apache Hadoop Apache Spark Azure DAX LOD

Numpy Pandas Power BI Pyspark Python Scala Tableau

Request full CV

Nick M.

Senior Data Engineer 5+ years experience

SUMMARY

Senior big data specialist with deep expertise in the designing, creation, management, and business use of large datasets, across a variety of data platforms.

Apache Airflow Apache Camel Apache Hadoop Apache Hive Apache Kafka Apache NiFi

Apache Spark dbt Pyspark Python Scala

Request full CV

Fill in the form to get a detailed CV

Thank you for your inquiry, our specialist will be in touch with you as soon as possible.

Does your big data project lack expertise?

Our professionals are here to help

Big data development process

Over the years of market experience, our teams have elaborated certain frameworks for working with big data projects. Despite the solution’s complexity strongly impacting the way the final development process looks, below we can describe its most essential stages.

Business and tech
requirements

Our team communicates with the client about the business goals and expectations and defines technologies that will be used in the data development process.

Data mining

We collect the data, sort it, and make sure it is sufficient to be processed. At this stage, we can already detect certain patterns, correlations, and anomalies within the data set.

Data processing

This step implies that we clean the data and transform it into an appropriate format. That enables us to optimize the accuracy of the data analysis.

Big data analysis

At this stage, we study the individual parts of the transformed data and extract valuable information. We also identify useful trends and patterns.

Cost of big data analytics development

As a rule, the final cost of a big data project depends on its complexity as well as developers’ salaries. The higher the complexity, the higher the price is. As for salaries, they vary within different regions. The hourly rate of developers from Western/Northern Europe remains noticeably higher compared to that of CEE and Baltic regions.There are several essential factors that affect the price of PHP development, we list them below.

Project complexity

Duration of the project

The team size

The team composition

Professional level of developers

Cooperation model

Why choose Innowise as a Big Data analytics company

We are the global IT market veterans, with + years of experience, and + projects delivered to + satisfied customers. Right now, our staff has many big data professionals who have delivered sophisticated solutions across different industries worldwide.Our big data experts will optimize a company’s data and deliver valuable business insights in the shortest time and at a reasonable cost. If your company faces big data issues or would like to optimize business processes, Innowise is at your service.

“Innowise assists businesses across major industries with big data services and consulting. Our data scientists handle customer mood recognition, imbalanced data, and attitude marker detection among other tasks. To unleash the potential of big data, we use advanced algorithms and machine learning models. The industry-specific knowledge helps us deliver tailored solutions that meet each customer’s needs.”

Pilip Tsikhanovich

Head of Big Data Department at Innowise

What our customers think

Since our collaboration is successful, Innowise’s resources have stayed engaged in our projects for a long time. The reliability and vast expertise of their frontend, backend, and QA engineers are impressive.

George Fironov CEO Talmatic

Innowise is one of the best partners the client works with. They always fulfill our requests by providing developers that meet the client’s specific language and experience-level requirements.

Polina Shuruba Partner Manager XPRT MINDS

Innowise has built an amazing application from scratch in an amazingly short time of just about 3 weeks. Their seniority and in-depth experience in this field make them valuable partners.

Johannes Schweifer CEO CoreLedger AG

Entrust your big data project to professionals

We can build your big data solution from scratch

Big data related cases

Big data: all your questions answered

What is big data?

Big data is massive, difficult-to-manage volumes of data. It contains all raw, structured, and unstructured files that are not always necessary. To process, structure, and analyze that big portion of information, companies use what’s called big data services. They help to extract beneficial insights that help businesses work faster and improve data-driven decisions and strategies.

Would big data be useful to scale up my business?

Using big data, your business will be able to thoroughly examine the customer’s demands, interests, and expectations to develop more individualized marketing plans and enhance customer service. This can significantly increase a business’s profits and revenue.

How much data can be considered Big Data?

There are no strict rules of how much data is considered big because the amount of maximum information that can be processed increases over time. However, this data has to be sufficient to enable the collection of valuable insights.

How is the world using big data for predictive analysis?

Companies use predictive analytics by searching for useful patterns in big data to be able to predict future outcomes and provide valuable business intelligence. Predictive analytics is widely used by many industries as it helps to avoid errors and delays.

Will big data grow in the future?

Future big data production is expected to increase drastically. According to some projections, the world’s datasphere will grow to 175 zettabytes by 2025. Machine learning will be the upcoming big thing.

What are the 5 V's of Big Data?

The five key features of big data are known as the V’s, or velocity, volume, value, variety, and veracity. Knowing those characteristics helps develop more targeted big data strategies.

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Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

We’ll arrange a meeting with you to discuss the offer and nail down the details.

Finally, we’ll sign a contract and start working on your project right away.