Amazon EMR Migration Guide

June 12, 2019

Businesses worldwide are discovering the power of new big data processing and analytics frameworks like Apache Hadoop and Apache Spark, but they are also discovering some of the challenges of operating these technologies in on-premises data lake environments. Common problems include a lack of agility, excessive costs, and administrative headaches, as IT organizations wrestle with the effort of provisioning resources, handling uneven workloads at large scale, and keeping up with the pace of rapidly changing, community driven, open-source software innovation. Many big data initiatives suffer from the delay and burden of evaluating, selecting, purchasing, receiving, deploying, integrating, provisioning, patching, maintaining, upgrading, and supporting the underlying hardware and software infrastructure.

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Shinelogics Infotech Pvt Ltd

Shinelogics is an IT – Software Technological Service and Products development company. We have startup with Team of 25 to aiming the creativity and innovation in Technology arena. Our advanced ideas are transformed into simplified Technological framework. Shinelogics is an IT – Software Technological Service and Products development company. We have startup with Team of 25 to aiming the creativity and innovation in Technology arena. Our advanced ideas are transformed into simplified Technological framework.

OTHER WHITEPAPERS
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Are Predictive Analytics Truly Predictive?

whitePaper | April 19, 2023

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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Serverless Analytics

whitePaper | October 3, 2022

C-Level executives, do you often feel that you spend a significant amount of time and resources managing costs? Or do you often wonder about the impending costs on IT assets and how to optimize them? Gartner, in a recent survey, has expected that IT services are going to raise this year, with the projected IT spending growth rate being 5.5.% for 2023. With soaring expenses, you need to find alternative tactics to reduce the burden of IT expenses.

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Enhancing Data Empowerment in Financial Services with Modern Cloud Analytics

whitePaper | November 30, 2022

Modern cloud analytics can help financial services organisations to gain greater insight into their ever-increasing volumes of data, enabling them to improve customer experience, boost productivity and generate new revenue streams.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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Unlocking the Business Value of the Data Lake

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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Spotlight

Shinelogics Infotech Pvt Ltd

Shinelogics is an IT – Software Technological Service and Products development company. We have startup with Team of 25 to aiming the creativity and innovation in Technology arena. Our advanced ideas are transformed into simplified Technological framework. Shinelogics is an IT – Software Technological Service and Products development company. We have startup with Team of 25 to aiming the creativity and innovation in Technology arena. Our advanced ideas are transformed into simplified Technological framework.

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