Data Engineering Services Trusted By Leading Companies
ThirdEye’s Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.
As a data engineering solution provider, we take care of the end-to-end development, deployment, and maintenance process of the infrastructure required for processing and managing large volumes of data. We have 100+ years of combined expertise in successful big data implementation, database management, data architecture development, data integration, and core programming languages such as SQL, Python, R and Java.
Big Data Consultation and Data Engineering Services We Offer
Data warehousing solutions provide a centralized repository for storing and managing large volumes of data. These solutions leverage all tools for data modeling, querying, and analysis, enabling organizations to make informed decisions based on their data.
We work with all kind of data architectures used for storing and processing large volumes of data and set up data platforms. Data platforms enable organizations to collect, manage, and analyze data from various sources, providing insights into their operations, customers, and markets.
With data governance, we set up policies, procedures, and standards for managing data, ensuring compliance with regulations, and protecting data privacy and security. Scaling up the process of managing the availability, usability, integrity, and security of the data used in an organization.
Data Analytics is an approach to data analysis that emphasizes the use of data to get deep insights. The insights gained from data analysis are then used to make informed decisions, such as improving products, optimizing operations, and identifying new market opportunities.
Big Data Implementations
We work closely with our customers to implement Big Data infrastructures that leverage and extend their current or build new IT infrastructure with the lowest possible TCO. We are specialized in software tools, such as Hadoop, Spark, and NoSQL databases, which are designed to handle massive amounts of data across distributed computing environments.
Data Quality Checks
Data quality check solutions help enterprises to ensure the accuracy, completeness, and consistency of their data. These solutions leverage tools for data profiling, data cleansing, and data enrichment. Data quality checks are critical to ensure the effectiveness and reliability of data-driven decision-making.
ETL stands for Extract, Transform, and Load. Through ETL jobs, we automate the process of extracting data from various sources, transforming it into a common format, and loading it into a target system. These solution help enterprises to streamline their data integration processes and ensure data quality and integrity.
Transforming raw data into interactive and visually appealing representations, such as charts, graphs, and dashboards. Data visualizations help enterprises to monitor performance, communicate information, discover patterns and insights. Users can make informed decisions based on the insights gained from the data visualization output.
Referred Terms of Data Engineering
Building a data pipeline isn’t an easy feat, but the payoff of owning your own data and being able to analyze it for business outcomes is huge.
ThirdEye has significant experience in developing data pipelines, either from scratch or using the services provided by major cloud platform vendors.
Building a Data Lake is easy as it’s simply about centralization of data, irrespective of its sources in its raw formats. However, having the knowledge and experiences of extracting meaningful insights out of all that data is not an easy task.
ThirdEye can set up your Data Lake and get you going on your Big Data journey.
Data Analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns & customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals.
ThirdEye can help.
Summary: Data Engineering Services We Perform
Developing complete end-to-end Data Pipelines
Ingesting Data from various sources into desired destinations
Managing various file format conversions
Performing Data Transformations
Performing Data Cleansing
Maintaining Data Integrity
Developing Data Models
Performing ETL and/or ELT jobs
Enriching Data for downstream Analytical Purposes
Performing Data Analytics
Big Data Implementation Across Enterprise
If your organization planning to manage and analyze data more effectively? ThirdEye can provide you with expert data engineering consultation and services which will help you unlock the full value of your data.
Our team of data engineers will work closely with you to design, build, and implement scalable data pipelines that integrate seamlessly with your existing infrastructure. From data warehousing to real-time data processing, we’ve got the expertise and experience to ensure your data is accessible, accurate, and actionable.
Contact us today to learn more about our big data consultation and data engineering services and how we can help you turn your data into a competitive advantage.
Big Data Acceleration on Apache HBase Cluster
Learn how an Apache HBase cluster could be optimized by using Flash cards and other software techniques.
YCSB workloads were used and the results visualized in simple charts.
An improvement of 30% or more over disk-only for random access was observed.