For one of the Retail Operating system companies, where Brands, Retailers, and Consumers are connected, Locuz migrated their on-prem data lake to a more agile and scalable architecture. We have set it up on AWS using EMR with Hudi/Presto and Metabase (Open Source BI).
As the world becomes more digital, the amount of data created and collected constantly grows and accelerates. Analysis of this ever-growing data becomes a challenge with traditional analytical tools. Innovation is required to bridge the gap between generated data and data that can be analyzed effectively. To analyze such large datasets involves a reasonable amount of compute capacity which can vary in size depending on the amount of input data and the type of analysis required.
Scale Instantly and Transform with Your Data
This specific nature of big data workloads is best suited to the pay-as-you-go cloud computing model, where applications can scale up and down basis the demand. That’s how AWS with it’s pay-as-you-go model is best suited for managing your large data sets, as requirements change, AWS allows you to resize your environment horizontally or vertically to meet your needs. All of this without having to any additional hardware or investment requirement to provision your new capacity.
On AWS, you can provision more capacity and compute in just a matter of minutes, meaning that your big data applications can grow and shrink as demand dictates, and your system runs as close to optimal efficiency as possible.
In addition, you get flexible computing on a global infrastructure with access to the many different geographic Regions that AWS offers, along with the ability to use other scalable services that augment to build sophisticated big data applications.
As your data continues to grow, you need various options for your various data compute needs, AWS serves you with all such options to get your data to the cloud safely and instantly. This variety of Big Data Analytics offerings make it an ideal fit for solving all your Data needs.
- Amazon Simple Storage Service (Amazon S3) to store data.
- AWS Glue to orchestrate jobs to move and transform the data easily.
- AWS IoT, which lets connected devices interact with cloud applications and other connected devices.
- Amazon Redshift, Fastest and most widely used cloud data warehouse. Break through data silos and gain real time and predictive insights from your data.
- AWS SageMaker, With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
- Amazon QuickSight, allows you to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning.
- Amazon EMR, easily run and scale Apache Spark, Hive, Presto, and other big data workloads.
The Locuz Benefit in Data Analytics
Locuz, in partnership with AWS offers enterprise-grade products and services to help you build cost effective Data Platforms to drive actionable intelligence. These solutions combine commercial & enterprise-grade open-source technology along with Predictive Analytics (ML/DL) and real-time analytic capabilities. Locuz extensively uses AWS AI/ML services, the likes of SageMaker, Rekognition, Textract, Polly and more and help customers in their complete data driven journeys.
Data & Analytics with AWS
Our AWS ML Capabilities
Data Exploration and Preparation
We understand that before diving into the development of ML models, data exploration and preparation is key to ensure the accuracy and reliability of the resulting models. We leverage AWS tools such as Amazon S3, Amazon Athena, and Amazon Glue to perform data cleaning, transformation, and integration. Our experts work closely with clients to identify data sources and define data schemas that are optimized for their specific use cases
ML Model Development and Training
Our team has extensive experience in developing and training ML models using a variety of techniques, such as supervised learning, unsupervised learning, and reinforcement learning. We leverage AWS services such as Amazon SageMaker and Amazon EC2 to build scalable and efficient ML models that can handle large datasets. Our ML models are customized to meet the specific needs of our clients, and we work closely with them to ensure that the models are accurate, reliable, and provide valuable insights
ML Model Deployment and Management
Deploying and managing ML models can be a complex and challenging process, but our team of experts is well-equipped to handle it. We use AWS services such as AWS Lambda, Amazon API Gateway, and Amazon Elastic Kubernetes Service (EKS) to deploy ML models and make them available for use in production environments. We also provide ongoing management and monitoring of the deployed models to ensure that they continue to perform optimally over time
Natural Language Processing (NLP)
Natural Language Processing (NLP) is an area of ML that deals with the interaction between computers and humans using natural language. At Locuz Enterprise, we have expertise in developing NLP solutions that can analyze and process unstructured data such as text, speech, and images. We leverage AWS services such as Amazon Comprehend, Amazon Transcribe, and Amazon Rekognition to develop NLP solutions that can provide valuable insights into customer sentiment, user behavior, and other critical metrics
Computer
Vision
Computer Vision is an area of ML that deals with the analysis and processing of visual data such as images and videos. Our team of experts has extensive experience in developing computer vision solutions that can identify objects, recognize faces, and detect patterns in visual data. We leverage AWS services such as Amazon SageMaker, Amazon Rekognition, and Amazon Kinesis Video Streams to develop computer vision solutions that can provide valuable insights for businesses across various industries
AWS AI & ML Services
At Locuz Enterprise, we understand that every business has unique needs and challenges. That's why we offer customized AWS ML solutions that are tailored to meet the specific needs of our clients. Whether you are looking to optimize your business processes, improve customer engagement, or gain a competitive edge, our team of experts is here to help.
Locuz DA & ML capabilities
