Pulse of

Evolving market

Advertising Gaming Technology Electronics Pharmaceuticals Entertainment Realty Financials Cyber Security Food Retail Mobile Digital Banks Appliances Fashion ConsumerDurable
Begins With

Data…

Expanding to BigData Eco System

Data Lake and Sandboxes

Without a systematic and automated way to manage and govern data, you won’t know what data you have, be able to trust your data quality, provide access to data for multiple users, or comply with security and privacy regulations.

Data Ingestion and Consumption

Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. To ingest something is to take something in or absorb something.

Data Warehouse to No SQL Migration and Expansion

Critical for all data projects including analytics, data migrations and marketing automation. Experian’s data preparation and monitoring application.

BigData Deployments

Cloud Migration

Cloud migration is the process of moving data, applications or other business elements to a cloud computing environment.

Cloud and On-premises Hybrid

Hybrid cloud solution is one where an organisation uses a mix of on-premises private cloud and public cloud services.

Optimized Data Storage and Processing

Data storage optimization the first step for data efficiency information to the United States for processing to provide me with relevant information as described.

Data Governance and Regulatory Compliance

Data Governance and implementation of Data Quality and Lineage

Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise.

Master Data Process and implementation

Master data management is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference.

Regulatory Compliance mapping to Governance Processes and compliance Reports

Regulatory compliance is an organization’s adherence to laws, regulations, guidelines and specifications relevant to its business processes.

Data Processing and Applications

Real Time Processing of data from disparate sources including IoT

Real-time data processing is the execution of data in a short time period, providing near-instantaneous output.

Data pipeline from ingestion to consumption including enrichment

Data pipeline architecture organizes data events to make reporting, analysis, and using data easier.

Highly Scaled Applications on top of NoSQL Stores

The primary goal of Big Data applications is to help companies make more informative business decisions by analyzing large volumes of data.

Managed Data Lake

Data Ingestion and Consumption

Datawarehouse to NoSQL Migration and Expansion

Expanding to BigData Eco System

Data Lake and Sandboxes

BigData Architecture Proposal, Review and Recommendations and Solution Engineering, Without a systematic and automated way to manage and govern data, you won’t know what data you have, be able to trust your data quality, provide access to data for multiple users, or comply with security and privacy regulations.

Scalable and Reliable Data Collection & Ingestion Architecture

Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. To ingest something is to take something in or absorb something.

Data Warehouse to No SQL Migration and Expansion

Critical for all data projects including analytics, data migrations and marketing automation. Experian’s data preparation and monitoring application.

Cloud Migration

Cloud and On-premises Hybrid

Optimized Data Storage and Processing

Big Deployments

Cloud Migration

Cloud migration is the process of moving data, applications or other business elements to a cloud computing environment.

Information architecture for cloud and on-premises hybrid deployments

Hybrid cloud solution is one where an organisation uses a mix of on-premises private cloud and public cloud services.

Architecture of Optimized Data Storage and Processing

The data efficiency information to the United States for processing to provide me with relevant information as described.

Data Governance

Master Data Management

Regulatory Compliance

Data Governance and Regulatory Compliance

Data Governance and implementation of Data Quality and Lineage

Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise.

Master Data Process and implementation

Master data management is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference.

Regulatory Compliance mapping to Governance Processes and compliance Reports

Regulatory compliance is an organization’s adherence to laws, regulations, guidelines and specifications relevant to its business processes.

Real Time Data Processing

Data Pipeline and Data Enrichment

Big Data Applications

Data Processing and Applications

Real Time Processing of data from disparate sources including IoT

Real-time data processing is the execution of data in a short time period, providing near-instantaneous output.

Data pipeline from ingestion to consumption including enrichment

Data pipeline architecture organizes data events to make reporting, analysis, and using data easier.

Highly Scaled Applications on top of NoSQL Stores

The primary goal of Big Data applications is to help companies make more informative business decisions by analyzing large volumes of data.

About Us

We provide strategic guidance and technical solutions for enterprises in the challenging area of BigData, Data Lake, Business Intelligence and Data Warehousing implementations. Our team includes experienced big data architects, data designers, data programmers, data scientists and trainers.

About Us

We provide strategic guidance and technical solutions for enterprises in the challenging area of BigData, Data Lake, Business Intelligence and Data Warehousing implementations. Our team includes experienced big data architects, data designers, data programmers, data scientists and trainers.

Enterprise Ready

Data is money and this century is evolving towards data economy and this is the future of the data. We provide business and technical strategies and guidance to the enterprise from start to the point of profit with highly skilled and experienced professional augmented by committed support teams

Approach and Focus

We believe in Open Source and Open Approach for solving business critical solutions. We avoid needless vendor locking and proprietary technologies and consider them hindrance for long term success and sustainability. We are totally committed and dedicated to solve one problem at a time with the best possible technology and techniques that is also ready for the future

Innovation

Innovation is our driving force and we as passionate about solving the complex challenges with unique approach and solutions. We aren’t afraid to fail fast so that we can learn fast and leap towards unique and better solutions.

Principles

We strive for efficient, uncompromising and exceptional service for our customers. We are excited about building strong relationships with our customers, our technology community and our employees.

Enterprise Ready

Data is money and this century is evolving towards data economy and this is the future of the data. We provide business and technical strategies and guidance to the enterprise from start to the point of profit with highly skilled and experienced professional augmented by committed support teams

Approach and Focus

We believe in Open Source and Open Approach for solving business critical solutions. We avoid needless vendor locking and proprietary technologies and consider them hindrance for long term success and sustainability. We are totally committed and dedicated to solve one problem at a time with the best possible technology and techniques that is also ready for the future

Innovation

Innovation is our driving force and we as passionate about solving the complex challenges with unique approach and solutions. We aren’t afraid to fail fast so that we can learn fast and leap towards unique and better solutions.

Principles

We strive for efficient, uncompromising and exceptional service for our customers. We are excited about building strong relationships with our customers, our technology community and our employees.

Partners

Customers

Get in Touch

Interested in learning more about us? We’d love to hear from you.

ADDRESS

Data Elements Inc.
11911 Freedom Drive
Suite 850, Reston, VA 20190

PHONE

+1 407-721-4509

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