For an organization, data and analytics have become a competitive differentiator and a primary source of value generation. Transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. Data and analytics provide a set of tightly integrated tools designed to work together to solve data analytics challenges within a standardized framework. This platform allows a diverse set of technologies to procure resources and applications on top of it.
We do consult with you and roadmap discussion and creation for the enterprise data lake, and set up the data lake using big data and cloud technologies like AWS, Hadoop, etc… we do frameworks for ingestion and analysis for real-time and streaming data from IoT device, logs using big data technologies, and data modeling based on industry-standard business specific models for the data lake. We implement ETL tools like Talend, and Informatica as well as schedulers like Control-M as tools for integrating, orchestrating, and scheduling the data lake processes.
DevOps brings data from all source systems to a single place, which leads to the removal of data silos. For the decision-makers, all kinds of data are available. All data is present in one place, rather than going to multiple source systems for data. The traditional approach will be there to decide on a case and then collect the required data. You will always collect all the available data, irrespective of the use case.
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With us, you can process petabytes of data and make full use of your data lake for various workloads such as Analytics, Machine Learning, prediction, image processing, AI-powered search, and sentiment analysis.
Consulting and roadmap discussion and development for the enterprise data lake. Designing data lake layered architecture solutions remembering the end-user reporting and dashboard requirements as well as analytics and AI-related use cases.
Data lakes let you import any amount of data that can come in real-time. Data is gathered from various sources and transferred into the data lake in its original format. This lets you scale to data of any size while saving time in defining data structures, schema, and transformations.
AWS offers the most secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to develop their data lake in the cloud, analyze their data, and even data from IoT devices with a variety of analytical approaches including machine learning.
Implementation of data lake security and governance, for on-premise and on-cloud implementations. We will manage industry standards, reference architectures, best practices, and success stories for the data lake available.
We deliver best-in-class solutions to our esteemed clients.
To handle large-scale data sets and database migrations
It allows users to rent virtual computers to run their own computer applications.
A cloud-powered business analytics service that quickly gets business insights from their data anytime on any device.
A category of business analytics focused on syncing data from your warehouse directly to your business tools.
It enables you to ingest, buffer, and process streaming data in real time to get insights in seconds or minutes instead of days and hours.
A computing service that runs code in reaction to events and automatically manages the computing resources needed by that code.
This methodology is gaining popularity across the world as businesses are changing their apps and tools to the cloud. The tools are accessible for developing, testing, and deploying processes to get a continuous delivery model and enhance collaboration between the operations and developer teams.
Executing a DevOps culture lets businesses identify issues and reach high-efficiency rates. Consistent testing through automation can save both resources and time for a business.
Providing software and services at speed, the market demands require teams to experiment and iterate fastly. They should deploy updated versions frequently, driven by feedback and data.
DevOps can influence business productivity with efficient team collaboration, surges employee engagement, and even better development opportunities.
Amazon Kinesis helps you gather, process, and analyze real-time streaming data, gain timely insights, and react quickly to new information.
