Data Engineering Services
Reshaping Data Into Meaningful Insights
For Your Organization to Grow
Data engineering services accommodate businesses to convert their raw data into meaningful insights for organizations. It refines and cleans data to make it useful for companies. Our data engineering service assists in the exploration and analysis of legacy database systems. Odyssey Analytics big data engineering process transforms data on availability, and demand.
Above all, we load procedures into relational, non-relation, NoSQL, big data, or cloud systems. We provide ELT/ETL data storage in addition. We practice data engineering pipelines with advanced technologies such as DF, Databricks, Synapse, big data orchestration, cloud orchestration, and data management pipelines.
Data Collection
Extraction of structured & unstructured data from streaming & batch sources. Refining & cleaning data to make it available to data scientists & business users for exploration & analysis on legacy database systems or cloud systems.
Data Pipelines
We use different methodologies including DF, Databricks, Synapse, Informatica & another legacy, Big Data &/or cloud orchestration & data management pipeline. These technologies are used to move, manipulate & store data in batch & real-time.
ELT / ETL Data Storage
Depending on the availability, amount, velocity & type of data. We offer data extraction, processing, transformation & loading procedures into various relational, non-relational, NoSQL, big data systems, &/or cloud storage.
CI/CD Data
Expertise in legacy & cloud-based deployment services. We develop efficient production build & release pipelines based on infrastructure-as-code artifacts, reference/application data, database objects (schema definitions, functions, stored procedure) & data validation.
Modification Of Data
An effective & intelligent method for moving corporate data from on-premises legacy systems to cloud storage infrastructure or new target platforms.
Integration & Data Migration
With the help of our expert data migration experts, we assist to upgrade the legacy data storage & migration system to a new automated digital transformation system. We ensure seamless data migration & business process execution as well as performance & security!
Reshape Your Data into Future Outcomes Via Our Data Engineering Services
Data is the prime need of every business & we ensure that it remains accessible to different departments of your organization with our data engineering services.
Natural Language Processing Steps
Data Interpretation
Lexical & syntactic analysis are carried out on the provided speech, text or voice data for data pre-processing & parsing.
Knowledge Acquisition
Sentiment analysis is performed to extract the true dictionary meanings of parsed information.
Generate outcome
To ensure accurate natural translation & true meanings, the machine-interpreted outcomes are cross-validated with real-world knowledge.
Natural Language Processing Steps
01
Data Interpretation
Lexical & syntactic analysis are carried out on the provided speech, text or voice data for data pre-processing & parsing.
02
Knowledge Acquisition
Sentiment analysis is performed to extract the true dictionary meanings of parsed information.
03
Generate outcome
To ensure accurate natural translation & true meanings, the machine-interpreted outcomes are cross-validated with real-world knowledge.
Enhancing Strategies for Better Natural Language Processing Services
As Artificial Intelligence consultants we promise to deliver businesses with better and more improved NLP solutions than before. Our natural language query based knowledge graph has potential to answer complex queries using SPARQL in retrieving data. As a well-known natural language processing services company in the United States, Odyssey Analytics also integrates natural language solutions with reinforcement learning. Enabling businesses to apply NLP via reinforcement learning on less data.
Frequently Asked Questions
Natural language processing (NLP) a field of artificial intelligence and linguistics that intend to program machines making them able to transform data voice commands into system instructions. Natural language with deep learning has multiple applications in real-world such as Chatbots and virtual assistants, Question answering based Knowledge graphs, Sentiment analysis, Multi-language translations, and Information retrieval.
NLP services can provide various benefits to your business. Here we have few of them.
- Enhancing customer engagement
- Automating business processes
- Developing personalized content
- Analyzing Audio data
- Streamlining communication
- Driving innovation & reduce costs
The natural language has countless benefits for businesses to grow and succeed in a competitive environment. It has privilege to help in pharmaceutical, telecommunication,e-commerce, transportation and logistics, manufacturing, energy and utilities.
The quality services that listen stakeholders carefully and design a MVP with a complete software development life cycle is said to be a right NLP services provider. Odyssey Analytics a potential artificial intelligence and machine learning solution provider in the United States.
Natural language processing (NLP) services require large amounts of high-quality text data in the language(s) they are designed to process. Additional resources such as language models, named entity recognition datasets, POS tagged data, and sentiment analysis datasets may also be required. The more data an NLP service has access to, the better its performance is likely to be.
Yes, natural language processing (NLP) services can be customized to meet specific needs through fine-tuning existing pre-trained language models or defining custom rules, lexicons, or features. However, expertise in machine learning and NLP is required to develop and fine-tune NLP models.
