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Cloud Data Scientist using AWS hadoop cluster for Big Data Analytics
By leveraging the cloud and micro-services, we provide cost efficient, scalable, and fast machine learning model developments.
Cloud Data Scientist for Big Data Analytics and Hadoop Cluster
We solve business-related problems with cloud based deep learning to automatically and iteratively learn from existing data and obtained data to extract hidden insights unobtainable through traditional research.
Massive Data Sets
Petabytes, Exabytes, Zettabytes, no matter the data set sizes, our hyper-scale deep learning will analyze at scale.
Rapid Analysis Predictions
Time sensitive prediction and diagnosis with fast and accurate pattern identification technologies.
Results Interpretation
Continuous data assessments to detect and analyze opportunity nuances and anomalies.
Accurate Forecasts
Automated model incremental refinement enhances detection and accuracy over time.
Transforming for Innovation, Sustainability and Security
Schedule an Appointment
Fill contact form below with date and time for no obligation cloud consulting assessment and starting your journey into AWS.
WHY YOU'LL LOVE US?
Perfect Platform for Deep Learning
Distributed learning give ML models the ability to horizontally scale and auto provision resources needed to meet time, complexity, and accuracy requirements. In addition, hyper tuning provides the data scientist with unlimited testing experiments to achieve the best results in less time.
Integrated ML/DL Code Pipelines
Our notebook cloud service and CI/CD code pipelines speed the time for raw data to models in production by deployment processing pushes. This fully integrates with local Scikit-learn, XGBoost, Keras, and TensorFlow modeling.
Machine Learning Models at Scale
With high-performance cloud, open-source frameworks, and DevOps code pipeline, our services will quickly put you in command of the latest in cognitive learning capabilities.
Why does your company need Data Scientist?
Traditionally, businesses never used to rely on data as much as they do today. Even the ones who have relied on data used a lot of basic tools such as SQL and spreadsheets with their business intelligence. Some businesses have also used business analytics tools to ease up on the workload. However, today’s daily data generation is extremely higher than what it used to be. Better skills and more sophisticated tools are needed more than ever for businesses to have a competitive edge. Unlike in the past decades, cloud data scientists are being recruited in many companies across various industries.
This is a result of data science itself being one of the most rewarding talents and business tools any company can have in the 21st century. At its fundamental level, data is a key resource for any business to take strategic decisions. Most of these data-driven strategic decisions can be utilized in optimizing metrics and indicators of both products and operations.
Early integration of data science is one of the best decisions companies can make to have a higher ROI in all branches of the business operations. Ranging from predictive analysis, machine learning and deep learning, application of data science on social dynamics, a business can really optimize both their product development and market penetration depending on the varying external parameters.
Why Cloud Computing for Big Data Analytics?
Just to help you to comprehend the gravity of how much data is being generated daily, Walmart stores generate more than 40 terabytes of data every passing minute. This happens 7 days a week, 365 days a year. Even with sufficient local storage for these data, every time a data scientist would perform various analysis or study a new batch of data, they would have to be transferred back to the database and load the device with new data.
With just a few machines dedicated to the data scientists, it would become susceptible to more potential failures. In the event of any hardware collapse, all the analyses will be lost. Moreover, data scientists will only be able to work as fast as their slowest computer. This would also obstruct the business from developing any real-time systems which are extremely useful in working with machine and deep learning algorithms related to social dynamics and predictive analysis.
This tremendous amount of data and the feasibility of having them locally are the main reasons why data science needs cloud computing. This is why in today’s world cloud data scientists play a major role in analyzing these massive amounts of data to ensure their businesses stay ahead of the competition.
Cloud Computing Data Science
Analyzing data from elastic cloud services
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Perfect Platform for Deep Learning
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Integrated ML/DL Code Pipelines
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Machine Learning Models at Scale
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Why does your company need Data Scientists?
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Why Cloud Computing for Data Science?
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Cloud Data Scientists with CCT
Frequently Asked Questions
A Microservice is the breaking up of traditionally tightly coupled application components into small specialized services that communicate through HTTPS REST and HTTPS API interfaces.
Since Microservices are small specialized services, they can be quickly and efficiently rearranged to accommodate future capabilities unknown at the present time.
Microservices are independent and modular which allows for significant flexibility in communications patterns and often prevent cascading failure.
DevOps is the combination of development and operations into a single function of software development and infrastructure management. The main priority of DevOps is the reduction of barriers to speed of delivery.
DevSecOps empowers everyone in the development process using a security focused tool set to address timely security decisions at speed and scale of each development stage. The main priority of DevSecOps is risk reduction through DevOps security accountability and governance.
Security automation in DevSecOps increases speed of code releases while reducing the risk using static application security testing (SAST), dynamic application security testing (DAST), and code dependency checking.
High business value is realized from quick and efficient response to market opportunities and challenges, optimization for innovation, and reduction of technical debt all lead to superior competitive advantage.
CCT is pleased to discuss your requirements and present a proposal for your review and consideration. Call us today at 1-800-804-9726 x105.
Cloud Data Scientists with CCT
Cloud Computing Technologies is proud to have a team of Cloud Data Scientist aboard to serve all your business intelligence needs. With our guidance and the pool of talent, your SME and even corporation can benefit and improve how you tackle today’s market. Our cloud data scientists are highly trained and know their way around data cleaning, wrangling, and developing predictive analysis and machine learning models to satisfy all your data needs.
Our cloud data scientists are experienced in designing and building AWS Hadoop Cluster infrastructure and implementing it in the cloud of your choice. Whether your business is directly working directly on predictive analysis, machine learning algorithms or only incorporating data science to increase your business growth, our cloud data scientists will assist you with the cloud deployment and maintenance.
Cloud Computing Technologies and the team can guide and help your business with all the new technologies that seem complex at the beginning. Our team of cloud data scientists can even assist you with setting up serverless computing giving you the ability to test machine learning algorithms without having to explicitly manage or maintain any servers.
Our team of cloud data scientists at CCT is all about making your business processes and development more comfortable. If you are a developer, CCT will provide you with the best cloud data scientists to effortlessly run your algorithms with the help of the cloud. Not only you get to test your codes with state-of-the-art hardware but also with a lesser cost. Our engineers promise you more reliably, zero maintenance, and the best value for your data and algorithms.
If your business requires more intelligence to tackle the market, CCT Cloud Data Scientists are capable of producing the best possible strategy for you. As data scientists, not only they are capable of analyzing your business, potential niches, social dynamics but also capable of providing you with the best tactics in as little time as possible or penetrate the market more.
Scale-up Faster with AWS Hadoop Cluster
Cloud Computing Technologies understand how much your business is striving to expand your operations, attract more customers, and add more quality and reliability to the products and services you offer. Whether it is a technology-related company or not, at first, as your business aims for greater heights, Big Data Analytics becomes one of the most powerful tools your business will wield.
All the market leaders of each industry are using data science as a tool and we at CCT want the same for you and open a window to stay ahead of the competition. Let our cloud data scientists help you to leverage all the benefits data science has to offer. They will analyze your business and will even set progressive KPIs while your business reaches its goal.
Incorporate our cloud data scientists into your business and let CCT accelerate your growth. Whether you are new to data science or you have some data maturity and appropriate infrastructures set in place, we will provide you with the best service you can get. While you focus on your core business, our data scientists will provide you with all the intelligence you need to carry on and perform even more effectively and efficiently.
A data scientist is a powerful asset in both data product and decision science – they are the aforementioned data wisperer. They can help your product with new recommendation engines, and assess affinity maps and other data to inform product direction. They can help guide your company’s operating metrics and KPIs essential to your business. But leveraging a data science team appropriately requires a certain data maturity and infrastructure in place. You need some basic volume of events, and historical data for a data science team to provide meaningful insights into the future. Ideally, your business operates on a model with low latency in signal and high signal to noise ratio.
Drop a message or a call if you have any inquiry. Let us guide you to achieve your next data inflection point.
Further information about Cloud Data Scientist and cloud computing engineer.