COWIN provides big data development services that enhance companies' productivity and efficiency. Our big data developers use cutting-edge modern technologies to deliver big data solutions that handle massive volumes of information and thus extract useful insights for better business decision-making.
Whether a client is unsure about the quality of a company’s data or needs help with migrating big data into the cloud, COWIN 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.
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.
COWIN 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.
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.
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.
COWIN ensures that all the specialists, processes, and technologies integrated into the data process work coherently and deliver the expected results on time.
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.
With COWIN, 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.
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.
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.
Our experts employ ETL/ETL processes, replicate, and virtually combine data to create a unified collection of information for analytical and operational purposes.
COWIN 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.
In case a client’s in-house team lacks certain big data expertise, COWIN is willing to outsource qualified staff members who possess relevant skills and knowledge.
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 COWIN has gained over the years of intense collaboration with clients from around the world.
COWIN creates software that optimizes the data flow and extracts valuable insights that increase an organization’s productivity and performance.
Our team builds both BI and data analytics tools that bring data management to the next level and allow businesses to forecast trends.
We develop smart technologies that self-learn the algorithms and drive predictions that implement ROI-driven adjustments into clients’ businesses.
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.
Our team builds solutions that improve the capacity of data storage as well as memory management. We pay particular attention to creating advanced architecture.
COWIN develops advanced tools that measure the data condition in terms of accuracy, evaluability, and consistency to avoid any losses, errors, or inadequacies.
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.
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.
COWIN develops solutions that help illustrate the data most comprehensively. Our professionals create customized dashboards, storyboards and reports among other services.
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. COWIN 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.
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.
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.
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.
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.
With predictive data analytics businesses can avoid risks of overstocking/understocking or other major operational failures or inadequacies.
Valuable insights that result from successful data analytics can be used to develop innovative strategies, products, and technologies that outperform competitors.
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 COWIN, we have a range of professionals capable of performing big data integration with a range of state-of-the-art technologies.
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.
These technologies produce great results if combined. While big data analytics is about extracting valuable information, data science focuses on producing predictive models.
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.
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.
COWIN 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
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
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.
COWIN has been present in the global IT market for 15+ years, with 600+ 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.
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.
They operate through the Microsoft Azure platform. Such companies as Asos, Bosch, and PepsiCo have implemented several projects with the help of this platform.
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.
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.
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.
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Our team communicates with the client about the business goals and expectations and defines technologies that will be used in the data development process.
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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.
03
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.
04
At this stage, we study the individual parts of the transformed data and extract valuable information. We also identify useful trends and patterns.
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.
We are the global IT market veterans, with 15+ years of experience, and 600+ projects delivered to 200+ 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, COWIN is at your service.
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.
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.
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.
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.
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.
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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Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.
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After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.
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We arrange a meeting with you to discuss the offer and come to an agreement.
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We sign a contract and start working on your project as quickly as possible.