Cloud Data Engineering
Humans evolved from the stone ages, to a much civilized current-day scenario. Likewise, computing has evolved. Gone are the days where applications ran on individual PC’s and hard drives. Fast-forward to now, computation and data storage is moved to a centralized system. The cloud - with everything residing on remote servers across the Internet. This gives us a means to get applications and data from any corner of the world, with a basic requirement of an Internet-connected machine.
Cloud computing requires a computing platform that exists in the cloud, on which these remote apps can run. A number of cloud platforms are available from different vendors, including Amazon, IBM, and Google, among others.
Why move from a traditional Data engineering system to Cloud ?
Fast-paced technology changes and ever-growing internet media, producing a-lot of data (millions of petabytes) is advocating the need to move to the cloud. Cloud offers scalability like no other hardware service can provide. With pay as you go features and complete automated pipelines, you can set-up your workflows in a very simple and easy way if you learn to master the craft.
Hybrid solutions for seamless cloud connectivity and datacenters to the Cloud provide a consistent platform which facilities easy mobility between on-premises and the public Cloud. Many vendors provide Security Development Lifecycle (SDL) which is an industry leading assurance process. It comprises security at its core and private data and services stay secured and protected while they are on Cloud.
How Crossroad Elf can be of assistance ?
It is a very important decision for enterprises to make, to select the right cloud vendor. Many offer hybrid solutions and an array of other beneficial features, which are important for any Cloud strategy today. Numerous enterprises have witnessed accelerated business growth by migrating to Cloud.
AWS Data Engineering
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
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Azure Data Engineering
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
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Google Data Engineering
The cloud is beckoning major businesses. Cloud services are useful to businesses of all sizes—small companies benefit from the low cost, as compared to buying servers. Larger companies gain reliability and productivity, with less cost, since the services run on optimum energy and maintenance. Managing big data transformations including - extracting, loading, transforming, cleaning, and validating data; designing pipelines and architectures for data processing;
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