Data Engineering

Data Engineering Random Trees - Enterprise AI Solutions

Data Engineering - Dealing with large scale data - data lakes, pipelines & platforms

Data Engineering helps in determining the relevant datasets & preparing the data for consumption by AI Solutions to provide valuable insights to business. Data engineering constitutes almost 60% of work in AI Solutions.
We, at RandomTrees help get your data AI-ready. Harness evolving data sources by automating & building robust capabilities for data cleaning and harmonization to feed machine learning models.



How Big Data Engineering Benefit you?

Organizations have to help businesses by building robust capabilities to deal with the volume, velocity, veracity, and variety of data. They have to make this data available for business users to consume. Data Scientists, with the constraint of handling massive data taken care of, will have the opportunity to work on these comprehensive data sets, derive valuable insights for business teamsto implement decisions. This significantly increases the business value that can be realized.


RandomTrees Approach

Data Factories

Our specialized team of data engineers have very good understanding of the latest tools and frameworks to build complex Industrial Pipeline (IDP’s) which are Data Factory like framework on variety of data sources for faster data processing and handling repetitive tasks much faster. Variety of data sources include structured, Un-Structured & Semi-Structured data such as internet streaming data, sensors data connected to the IoT's, social media content, mobile phone records, Audio files, Image files etc.

managinf and automating the pipeline

figure: Data Factories

Data Lakes

The power of AI and analytics is multiplied manifold when the breadth of data sources is brought together. Clients with massive data sets get a Big Data delivery system engineered to continuously deliver AI-ready data in near real time. We help establish a real time automated process for data ingestion and processing.

Data Processing

With the increasing availability of streaming data such as IoT, Social media (Twitter, Facebook), streaming technologies have become more advanced, we can help you handle huge volumesof streaming data, process and analyze in real-time or near real time and generate valuable insights such as customer sentiments, Competitor intelligence, Realtime trends. Whether you are looking to improve latency, processing or ease of operation, we help you take the right path.

Knowledge Graph

Data Engineers at RandomTrees can help you build complex Knowledge Graphs using Graph DB’s which are fundamental to the modern AI systems. They act like a memory to AI Applications (Example: real-time recommendation & knowledge sharing apps) by accumulating contextual knowledge with each conversation using connected data to understand concepts, infer meaning and respond with valuable insights.

Data Harmonization

Data harmonization makes data clean, compatible, comparable & reliable, even when it comes from a wide range of unrelated sources. We ensure your data is ready for unsupervised learning, supervised learning and advanced analytics.

Governance and Security

Democratize data with strong yet flexible governance.We make sure your data is always secure but also continuously flowing to your business teams seamlessly.

Big Data Architecture

Big Data Architecture

Current Platforms

SAP HANAAmazon awsMicrosoft AzureOpen Shiftcloudera

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