Data engineering solutions
Data architecture building
We establish flexible and highly accessible data architecture solutions. The framework combines the information about how data flows in a particular company. A good data architecture shows the right path to achieving your business goals.
Data Lake implementation
Data Lakes manage the storage of large amounts of raw, unprocessed data until it is used by analytics applications. We provide this option, so your business can increase productivity and grow faster without extra effort.
Data warehouse implementation
We create data warehouses that collect all the company information from multiple resources in a single repository that is kept separately from an organization’s operational database. This information is used for analytical insights..
Data migration to the cloud
Cloud migration might be an excruciating process, but it’s highly important in modern business. Our cloud data engineers will set up your data lake to move your enterprise data fast and cost-effectively.
Data management and compliance
Data management and compliance are needed to ensure that all data is secured and follows the business rules and government regulations. Our team will make sure that your data is protected the right way.
Data analytics and visualization
These tools help to analyze and process large amounts of information and to present it in a simple way. With our data engineering technologies, your company will have high accessibility to all information that can improve your business.
Data engineering consulting
A professional team of engineers is a key to successful data management. Our data engineers design and manage data to prepare it to be reported for providing better results and decisions backed by data.
DataOps implementation
DataOps practice improves communication, integration, and automatization of data flows between data managers and consumers across the company. We can optimize the DataOps, so your business can deliver relevant and high-quality data to customers
AWS
- S3
- Glue
- Lambda
- QuickSight
- Kinesis
- API Gateway
- CloudWatch
- EC2
- SQS
- EBS
- Athena
- EFS
BI Tools
- PowerBI
- Tableau
- Google Data Studio
- QuickSight
- QlikView
- QlikSense
- Pandas
- NumPy
- Matplotib
- Scaborn
- Plotly
- And more
Microsoft Azure
- Data Lake
- Data Factory
- Data Bricks
- Functions
- Blob Storage
- Data Share
Google Cloud Platform
- DataProc
- DataFlow
- Cloud Storage
- FileStore
- Cloud Functions
- DataPrep
- Pub/Sub
- KMS
- DataStore
- Compute Engine
- App Engine
- And more
Our data engineering process
Requirements analysis
At the very first step, we determine users’ detailed needs and expectations for a new or modified product. It is a plan for all the subsequent data-related processes.
Data architecture design
We establish a framework that shows the sources of information, and how this information is being transported, secured, and stored. Data architecture manages the data strategy.
Data ingestion
We transport the data to a storage medium or import it for immediate use.
Data cleaning
Before the data makes it to the pipeline, it needs to be cleaned first. We correct or remove all the irrelevant and incorrect parts of the records.
Data Lake building
We build Data Lakes to store raw, structured, and unstructured data files in one repository with minimal costs. Data Lakes might be created through such programs as Hadoop, GCS, or Azure. That includes such complicated operations as data engineering with python.
ETL/ELT pipelines implementation
After preparing the stored data, the ETL engineer starts the data processing operations. It is the most critical act in the data pipeline because it turns raw data into relevant information.
Data modelling
Quality assurance
Data engineering development cost
The ultimate cost of Data engineering solution development project is defined by a number of factors:
1
Cooperation model
2
Project duration
3
Scope of work
4
Team size
FULL LIFE-CYCLE PROJECT DEVELOPMENT
First Video Call
Get to know about your business. A conversation with a prospect early in the sales process. Speaking on the phone or having a video call is far more effective
Business Analysis
In the discovery phase, we gather insights into your business needs, define clear project goals, and identify pain points through consultations, research, and stakeholder interviews.
Project Planning
During the planning stage, we create a detailed roadmap, outline project scope, set deadlines, and allocate resources. Clear communication and effective coordination ensure prompt and optimal results.
Agile Development
In the agile development phase, we prioritize iterative progress, providing ongoing feedback, and trying to stay adaptable to foster strong collaboration for successful project outcomes.
Quality Assurance Testing
Here we focus on seamless user experiences, conducting quality assurance testing, and fixing any issues or bugs. We offer custom app development services alongside QA automation testing for both mobile and web applications.
Feedback from Client
Early customer feedback allows developers to avoid major app changes and flaws. This way they can save time and eventually developmental costs
Delivery and Deployment
We always aim for top-notch quality when delivering the final product. Our custom development services agency deeply understands all modern development requirements and standards, ensuring seamless integration and compatibility of your solution.
Maintenance & Support
As your reliable partner, Sinaisoft provides ongoing maintenance and support to keep your product running smoothly. Our team of web development experts offers timely help, troubleshooting, and user training.
