4.9/5 (12 votes)

Big Data Services

Big Data Services

Who would not like to use data insights to grow their business? With the trend for data analytics, Big Data Engineering services have emerged. While Data Science generates insights, Data Engineering prepares the data for business analysis.

Big Data Services
traditional database

Traditional databases and statistical models couldn’t handle the data volumes. A need to analyze variable and real-time data and assess its quality set up the scene for Big Data platforms and Data Engineering.

Software’s Big Data services

Big Data
Hire Android 
app developers

Big Data consulting

  • Assessment and recommendations on Big Data solutions
  • Implementation of Big Data strategies
  • Big Data consulting and provision of detailed roadmaps
  • Data quality management recommendations
  • User adoption strategies development
Hire Android 
app developers

Big Data implementation

  • Analysis of Big Data needs
  • Architecture and design of Big Data solutions
  • Data migration
  • Big Data testing
  • Big Data security
Big Data implementation
Ongoing management & support
  • Big Data administration & maintenance
  • BI platform administration & maintenance
Big data support
  • Big data solution administration
  • Big data software updating
  • Adding new users and handling permissions
  • Big data management

Big Data analytics usage cases

Big Data warehousing

  • Storing data about business processes, finances, resources, customers, etc., for analytical querying and reporting
  • Corporate performance analytics
  • Revenue, cost, and investment analytics
  • Predicting, forecasting, and planning (performance, revenue, capacity, etc.) with all interdependencies
Business challenges behind data science
Operational analytics

Operational analytics

  • Collecting, processing, and storing large volumes of operational data (transactional data, production process data, asset data, employee data, plans, etc.)
  • Detecting deviations and undesirable patterns in a company’s operations (production processes, product distribution, etc.)
  • Recognizing bottlenecks (equipment failure, resource unavailability, etc.) and conducting cause-effect analysis
  • Forecasting (demand, capacity, inventory, etc.)
  • What-if scenario modeling and operational risk management

FAQ

What are Big Data services?

4.9/5 (12 votes)

Big Data as a service delivers data platforms and tools by a cloud provider to help organizations process, manage and analyze large data sets to generate insights, improve business operations and gain a competitive advantage.

Where is Big Data most used?

4.9/5 (12 votes)

Multiple domains use Big Data services, namely banking and security, healthcare, communications, education, manufacturing, etc.

What are examples of Big Data?

4.9/5 (12 votes)

Big Data comes from myriad sources—some examples are transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps, and social networks.

Who we are

Glorium Technologies is a full-cycle app & software development company which covers specific client business needs and tries to manage them with the help of the best possible technology solutions.

Since 2010, we have been inventing digital solutions, helping startups and SMBs come out on top in their markets.

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Why choose Glorium Technologies

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Deep industry expertise helps is approach the nuances around startups for you to get the best result possible.
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You are in the driver’s seat of your future solution. If you want to execute a certain feature, we will complete it for you.
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Glorium Technologies is your opportunity to make it to the market as soon as possible and at an affordable cost.

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Recent clients

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Reviews

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