What you need is to build
Resilient data science roadmaps
At Terralogic, we build data science road maps to aid different organizations in solving their unique problems.
We are industry competent with the process of harnessing data-driven insights for initiating new businesses, advising strategic changes, or accessing new markets.
WHY DO YOU
Need to go data-driven?
We practice supervised learning towards substantial data monitoring, that watches over all the means to identify vulnerable operations and take needful preventative measures in real-time. We put into use a wide variety of machine learning algorithms like Linear Regression, Regression tree, R-programming, and dispersion analysis to provide actionable business insights.
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Analyzing data sets
Every organization collects a wide variety of data and only by asking the right questions and assessing data in combination with complementary information will yield actionable results.
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Internet of things
Make the data flow from the stream of data meant for connected devices, to process for value-added operational analytics. This is how we optimize the supply chain of asset management.
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Machine Vision
Make the data flow from the stream of data meant for connected devices, to process for value-added operational analytics. This is how we optimize the supply chain of asset management.
Sentiment Analysis
At Terralogic, we use Text Data Analytics to understand the most varied responses to a product experience so that the organization can take measures to redress the situation.
Predictive Analysis
Using historical data also yields results that can be used to predict future growth and development. Predictive analysis can be done on the basis of the company and industry-centric data alike.
Questions
What technologies are used in data engineering?
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Data engineering services leverage numerous technologies to manipulate and manner massive volumes of statistics efficiently. Key technology consist of:
- Big Data frameworks like Hadoop and Spark for dispensed processing.
- Data storage systems consisting of NoSQL databases and data lakes.
- Data integration equipment like Apache Kafka for actual-time statistics streaming.
- ETL (Extract, transform, Load) equipment together with Apache Airflow and Talend for data pipeline orchestration.
- data warehousing solutions like Amazon Redshift and Google BigQuery for analytics and reporting.
Those technologies permit efficient data handling with and evaluation in data engineering services.
What is data consulting services?
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Data engineering consultants are experts in facts evaluation, making plans, and decision-making, making use of up to date understanding of data gear and industry adjustments. They examine big data, compare tactics, and create precise reports. They study data solutions, recommend training, and manipulate branch relationships to meet regulatory reporting necessities. In addition they graph and analyze infrastructure, structure, technical architecture, and metadata architecture components. A bachelor's diploma in pc technology or information era and earlier management or control revel in are required for data consultants.
Do you have the adequate infrastructure and technology to support my business processes?
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Yes. We use the very best and the latest in software, technology and infrastructure for our Data Engeneering service. By outsourcing you can save on investing on expensive software and technology as we use the very best in both. All our office have best-of-breed infrastructure.
Our 16 years of achievements includes:
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10M+
lines of codes
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2400+
projects completed
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900+
satisfied clients
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16+
countries served