Our Data Services

Big Data Services

Big Data Services

Unlock the potential of big data with tailored big data and analytics services to process and analyze massive datasets. Turn complex information into actionable intelligence.

Business Analytics Services

Business Analytics Services

Leverage advanced data analytics services and solutions to uncover trends and optimize performance. Drive your organization forward with confident, insight-based decision-making.

Data Visualization

Data Visualization

Transform complex datasets into visually engaging formats that make insights easy to understand. Enable faster, more confident decision-making across your organization.

Data Integration Services

Data Integration Services

Seamlessly unify data from diverse sources with robust data analytics services for consistency and accuracy. Ensure your business has reliable access to the information it needs.

Data Warehousing Services

Data Warehousing Services

Build scalable, efficient data warehouses to store and organize critical business information. Streamline data retrieval and improve operational efficiency with well-structured systems.

Data Science Consulting Services

Data Science Consulting Services

Access expert guidance to develop predictive models and automate essential processes. Achieve better results and operational efficiency with advanced data science expertise.

Data Governance Consulting

Data Governance Consulting

Implement proven frameworks to ensure data quality, security, and compliance. Create consistent, reliable systems to manage your data assets effectively.

Data Strategy Consulting Services

Data Strategy Consulting Services

Develop and execute strategies that align your data with your business goals. With our data analytics services, maximize the value of your information to drive measurable growth.

Real-Time Data Processing Services

Real-Time Data Processing Services

Process and analyze data as it’s generated to enable instant decision-making. Optimize operations, detect anomalies, and enhance customer experiences with real-time insights.

Save time & delight users with our user-centered UI/UX design.

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PROGRAMMING LANGUAGES

As a computer science discipline, data engineering requires an in-depth knowledge of various programming languages.Data engineers use programming languages to construct their data pipelines.Maximize the value of your data with data analytics services provided by TelesBytes Systems.Transform clients into data-driven organizations through cutting-edge data services that drive smarter decision-making,operational efficiency,and business grouth.

  • SQL
  • Python
  • Scala
  • Java
SQL

SQL or structured querying language, is the predominant database creation and manipulation programming language.It forms the basis for all relational database and may be used in NoSQL databases as well.

Python

Python offers a wide range of prebuilt modules to speed up many aspects of the data engineering process,from building complex pipelines with Luigi to managing workflows with Apache Airflow.Many user-facing software applications use Python as their foundation.

Scala

Scala is a good choice for use with big data as it meshes well with Apache Spark.Unlike Python,Scala permits developers to program multiple concurrency primitives and simultaneously execute serveral tasks.This parallel processing ability makes Scala a popular choice for pipeline construction.

Java

Java is a popular choice for the backend of many data engineering pipelines.When organizations opt to build their own in-house data processing solutions,Java is often the programming language of choice.It also underpins Apache Hive,an analytics-focused warehouse tool.

DATA PIPELINES: ETL & ELT

When building a pipeline,a data engineer automates the data integration process with scripts-lines of code that perform repetitive tasks.Depending on your needs,our data engineers construct pipelines in one of two formats:ETL or ELT.

ETL: Extract, Transform, Load

ETL pipelines automate the retrieval and storage of data in a database.The raw data is extracted from the source, transformed into a standardized format by scripts and then loaded into a storage destination.ETL is the most commonly used data integration method,especially when combining data from multiple sources into a unified format.

ELT: Extract, Load, Transform

ELT pipelines extract raw data and import it into a centralized repository before standardizing is through transformation.The collected data can later be formatted as needed on a per use basis,offering a higher degree of flexibility than ETL pipelines.

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What Will TelesBytes Team Do?

  • We will send a short email notifying you that we successfully received your request and started working on it.
  • Our solution advisor analyzes your requirements and will reach back to you within 3 business days.
  • We may sign an optional mutual NDA within 1-2 business days to make sure you get the highest confidentiality level.
  • Our business development manager presents you an initial project estimation, ballpark figures, or our project recommendations within approximately 3-5 days.