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Big Data and Analytics

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AWS Big Data & Analytics Solutions

Big data is…big

Big Data is a term applied to data sets whose size or type is beyond the ability of traditional data processing software to capture, manage and process the data with low latency. The key characteristics of Big Data are high volume, high velocity or high variety. Organizations are tasked with managing multiple data types from many varied sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that to deliver insights on time, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.

With Amazon Web Services we offer a complete end-to-end suite of Big Data services to meet these needs – all on-demand, on the cloud, and with scale. Big Data with Amazon Web Services provides solutions for every stage of the Big Data lifecycle. From Collection, Streaming, and Storage using relational databases, managed warehouse, NoSQL and processing real-time data streams and elastic Hadoop processing.

Dive into the Data Lake with AWS and Pi5 Cloud

Amazon Web Services provides more than 50 Big Data services and hundreds of features to collect, store, process, analyze and view Big Data in the cloud. You may take advantage of scaling applications to handle terabytes to petabytes of data, spinning up clusters with hundreds of nodes in minutes, providing broad spectrums of data analytics regardless of data variety, volume, and velocity.

But lack of expertise and knowledge of the cloud and in Amazon Web Services, in particular, may lead to delays in solution delivery, non-optimal architectural decisions, and increasing overall costs. Let our AWS Big Data specialists help you  so that your team of developers and data scientists can focus on your organization’s core competencies.

Challenges We Solve

  • Big Data Architecture design
    Starting with a detailed overview of your business requirements we deliver a conceptual solution that will meet your short-term and long-term goals. We suggest an optimal architecture for the solution and help you select the right technology stack among numerous options. For each option, we describe all the pros and cons in detail and recommend the best option.
  • Review the existing solutions
    Our AWS Big Data specialists review your existing architecture with a focus on costs optimization, reliability, scalability, security, and performance. We offer alternative options that bring both extra benefits and reduced costs.
  • Maintenance and support.
    We not only solve any technical issues but also provide recommendations to avoid possible problems in future. It includes conducting regular health checks to ensure that your big data solution is still secure, failure-resistant and highly performing, data administration(data cleaning, backup and recovery) and continuously improve the solution, adjusting it to the changing needs of your business.

Tools and Technologies We Use

dynamoDB
emr
kinesis
lambda
redshift
es
athena
glue
qs
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