Data Processing Consulting Services
DataFram helps its clients in creating future ready Data Pipeline, setting up Batch Processing and Real Time Streaming Data Processing based on unique business needs. From data cleansing to build attribute relationship to data processing, we have hands-on expertise in lates tools & technologies. Using Lambda Data Processing Architecture, we have also combined the power of batch pipeline with fast real time stream data processing for many of our clients. Our combined expertise in Data Warehousing, Data Modelling, Data Processing, Business Intelligence/Analytics, Data Science & Compliances, makes DataFram a one stop solution to all your data engineering services related needs.
What is Data Architecture?
What is Data Architecture?
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Related Services
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Talk to the expert Data Engineers for end-to-end Data Processing services
Why DataFram for Data Pipeline & Data Processing Consulting Services?
- Expertise in Modern Data Pipeline strategies
- Expertise in latest Cloud Data Processing tools
- Expertise in Lambda Architecture
Our Achievements
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Robust Data Infrastructure
We successfully built and implemented a scalable data infrastructure capable of processing petabytes of data, ensuring seamless data flow across multiple platforms and applications.
Award-Winning Data Strategy
Our innovative data strategy was recognized with the prestigious Data Strategy Award, highlighting our commitment to driving data-driven decision-making and business intelligence.
Advanced Data Security Protocols
Implemented advanced data security protocols, achieving a 99.9% reduction in data breaches and ensuring the highest standards of data privacy and compliance.
Monetize Data to Earn
More,
Not just Store Data
to Pay More
Talk to DataFram Data Engineering Consultants to understand the value
of data that you already have.
Selected Case Studies
What clients said about us
Peter Lie
“I am very happy to work with DataFram as they have very good team of Business Intelligence consultants. They are very professional and are always available to pivot.”
Jay Prakash
“DataFram has helped us to build Business Intelligence platform which has increased our customer satisfaction from 62% to 86%. Their understanding of meaningful dashboard creation is exceptional as they always come up with new ideas which can have direct impact on business.”
Paul Liboy
“DataFram team has enhanced our Bot containment from 40% to 70% and saved million dollars. They have one of the best team of data scientists and NLP consultants. Their understand on latest AI models is exceptional.”
FAQs
Our Data Engineering team is well versed with widely used traditional ETL and Model Cloud Data Processing tools like Apache Airflow, IBM Infosphere, Oracle Data Integrator, Talend Open Studio, Hadoop, AWS Glue, AWS Data Pipeline, Azure Data Factory, Google Dataflow and more.
ETL Pipeline is kind of subset of Data Pipeline. In ETL, not the entire data need to follow the pipeline model rather may be some required sequences need to be executed.
Primarily, data processing is categorized in two types, Batch Data Processing & Real Time Streaming Data Processing. Based on industries, businesses and use case, there might be different type of data processing.
ETL stands for EXTRACT LOAD TRANSFORM which means that in ETL data processing first we extract the data, load the data and then transform it. ELT stands for EXTRACT TRANSFORM LOAD which means that in ELT data processing first we extract data, transform data and then load it. In a way the difference is of the sequence in which you manage the data.
