What services do we offer
Requirement Analysis
We collaborate with clients to understand their data engineering needs, including data sources, integration requirements, desired outcomes, and scalability requirements.
Data Collection
We gather data from various sources, such as databases, APIs, logs, and files, ensuring data completeness and integrity.
Data Cleaning and Transformation
We perform data cleaning, which involves removing inconsistencies, duplicates, and errors. Additionally, we transform the data into a suitable format for analysis and integration.
Data Integration
We combine and integrate data from multiple sources, ensuring data consistency, integrity, and compatibility across various systems and platforms.
Data Storage and Management
We design and implement data storage solutions, including data warehouses, data lakes, or cloud-based storage, to securely store and manage the processed data.
Data Processing and Analysis
We leverage advanced data processing techniques and tools to extract valuable insights from the collected and transformed data. This involves data modeling, aggregation, visualization, and statistical analysis.
Monitoring and Optimization
We continuously monitor the data engineering processes, ensuring data quality, performance, and scalability. We optimize the workflows to enhance efficiency and address any bottlenecks or issues.
Maintenance and Support
We provide ongoing maintenance and support for the data engineering infrastructure, ensuring its stability, security, and scalability as business needs evolve.
Reviews
Our company was looking for combination graphic designer/software developer to create a stadium-style scoreboard. After looking through reviews and recommendation. We initially contacted five different companies.
I had a good experience with Cider team to create my PMU studio website. It can help a lot with my business to get more clients and more convenient. It has been busier, and my clients can explore the answers by themselves without…
Ilya at Cider was a pleasure to work with. He answered my questions thoroughly and if he didn’t have the answer right away, he responded within a reasonable time frame after Checking with his team.
Cider created a website for my business and I couldn't be happier. I wasn't sure what platform I wanted to use but Ilya made the process simple and we went with WordPress. It allowed me to be able to control my content and images...
Last year, I decided to create a website for my jewelry business. It was a long time coming, but something that had to be done. After a long search online I came across Cider and spoke with their representative.
I reached out to Cider after doing a search on Yelp for a mobile app dev shop. After reaching out to a few companies, I settled on Cider. Liked their approach and an option of a Discovery phase for my idea.
Cider has been a trusted partner and instrumental in rolling out a number of Salesforce implementation projects for our consulting business. They always deliver on their promises and provide outstanding services.
Cider reached out to me for the graphic design of my jewel case and cd covers, within an hour of my request, . Even though Ilya told me this was a little out of what they did, he would give it a stab.
We approached Cider to build out our website. Being careful we took our time in discussing the project. Mike took us through the whole process of cementing our requirements and developing the first version of the site.
Facing significant issues with our original developers our iOS app was delayed from being released by 8 months. Via a recommendation we connected with team Cider and provided them access to our existing build.
Why outsource Data engineering ?
Expertise and Specialization
By outsourcing data engineering, organizations can leverage the expertise and specialization of skilled data engineering developers.
Cost Savings
Outsourcing data engineering eliminates the need for companies to invest in hiring and training in-house data engineering teams. By partnering with a reliable data engineering service provider, companies can reduce operational costs and achieve cost savings.
Access to Advanced Technologies
Data engineering service providers stay updated with the latest technologies and tools in the field. By outsourcing, companies can leverage these advanced technologies without the need for significant upfront investments.
Scalability and Flexibility
By outsourcing data engineering services, companies can swiftly expand their data processing and analysis capabilities.
Time Efficiency
With dedicated data engineering developers, companies can accelerate their data processing and analysis projects. Outsourcing allows companies to focus on core business activities while the data engineering tasks are handled by experts, reducing time-to-market and enhancing overall efficiency.
Risk Mitigation
By outsourcing data engineering, companies can mitigate risks associated with data management.
Affiliations and Awards
Cidersoft is one of the best companies to hire for Data engineering
Enhanced Data Processing Efficiency
With our data engineering services, clients can optimize their data processing workflows, automate repetitive tasks, and improve overall efficiency, leading to faster insights and decision-making.
Improved Data Quality and Accuracy
We ensure that clients’ data is cleansed, validated, and transformed accurately, resulting in improved data quality. This enables businesses to make reliable decisions based on accurate and trustworthy data.
Streamlined Data Integration and Management
Our data engineering solutions enable seamless integration and management of data from various sources and formats. This simplifies the data integration process and provides a unified view of data, facilitating better data analysis and reporting.
Scalable Infrastructure and Resources
We offer scalable infrastructure and resources to handle large-scale data engineering projects. This means clients can effectively handle increasing data volumes without worrying about infrastructure limitations, ensuring uninterrupted data processing and analytics.
Our clients and partners
We are always looking for new clients and partners to work with. Join our network and experience the benefits of our custom development services. Contact us today to discuss your project or staffing needs.
Portfolio
Our portfolio showcases our diverse expertise in industries ranging from healthcare to e-commerce. We have delivered over 200 successful projects for clients worldwide, demonstrating our commitment to quality and innovation.
We rebuilt Stuart David Furniture’s website on Drupal, creating UI, database, and website structure based on their business model, with a new product database and regular content updates.
A customer came to us with a need to redesign a website for the recruiting department. Our WordPress development team worked together with the client’s marketing team to deliver the best solution that would help in new talent acquisition.
Cidersoft automated product release by developing the add-on that allowed our customer to create release notes directly from Jira ID’s and export them onto a Confluence page in real time. We also implemented a new website functionality utilizing APIs for client information updates.
Cidersoft built a user-friendly interface that helped our customer to create 2-way connections between Salesforce and his clients. Our team designed the interface to manage SMS’s, which can be added to any layout or Console for both Lightning and Salesforce Classic.
FAQ’s
– Involves the collection, processing, transformation, and storage of large volumes of data to enable efficient data analysis and decision-making. It encompasses the development and maintenance of data pipelines, data integration, and data infrastructure.
– Data engineering is gaining popularity due to the increasing volume, variety, and velocity of data generated by businesses. It plays a crucial role in enabling organizations to leverage their data assets, extract insights, improve operational efficiency, and gain a competitive advantage.
– Data engineering is essential for businesses as it helps in:
– Building robust data infrastructure to handle and process large-scale data.
– Ensuring data quality, integrity, and consistency for reliable analysis and decision-making.
– Enabling data integration from various sources, allowing for a holistic view of business operations.
– Facilitating advanced analytics and machine learning initiatives by providing clean and transformed data.
– Supporting data-driven decision-making, identifying trends, patterns, and opportunities for business growth.