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What Does the Cloud Mean for Big Data Analytics?

By on November 30, 2016

Want to innovate faster with your big data? Then it’s time to think about the cloud.

Cloud technology can create numerous benefits for any given company. Faster, cheaper, more flexible and easier to keep up to date, there are numerous business benefits. Most importantly, a well-thought out and well-implemented cloud environment can help companies drive innovation — especially since it makes big data analytics more impactful than ever.

Innovating in the Cloud

For a long time, Facebook’s motto was “move fast and break things.” With Facebook, the idea was to implement as many features and explore as many opportunities as possible. If a feature broke, they could fix it and improve it. Facebook did eventually move away from breaking their site, but they continue to encourage an innovative culture.

The cloud makes an agile culture more possible than ever. Cloud computing is a maturing market, and a number of large companies are starting to build efficient and elastic cloud environments. Those environments are already deployed on pools of server, storage and networking resources. They’re usually more cost effective, which improves the ROI on big data technologies and advanced analytics.

Ultimately, cloud technologies embrace and encourage a fast-moving, innovative environment where teams can utilize the cloud to store more data and discover new use cases for their data.  quickly figure out if a new product, service or idea will be a success or failure. A feature can be pushed out within a matter of months or even weeks, tested and expanded, depending on whether or not it really adds value.

Sharing Big Data in the Cloud

This is true not just for tech stars like Facebook, but also more traditional companies. In the enterprise world, big data is now essential. And utilizing the cloud makes it easier to track, analyze and ultimately act on insights. Combined, big data and the cloud can offer tremendous value to all kinds of companies.30

Before the cloud era, it was far too tempting for business processes to become mired in silos. Teams often found it difficult to share insights widely. Coordination was cumbersome, sharing was difficult and transferring data, especially large amounts of it, was slow. The cloud has reduced many of these limitations, making it easy for teams to coordinate across any distance and to widely share data, ideas and information.

The benefits of the cloud are hard to overestimate. Unsurprisingly, many of the most responsive and innovative companies in the world now depend upon the cloud. AirBnB and Uber are just a few of the big names using the cloud to increase product development cycles, coordinate efforts of far-flung teams and increase the ease of sharing information and data. In fact, for big data, the cloud has emerged as an absolutely vital tool.

Get Big Data Insights Fast With the Cloud

Big data processing used to be cumbersome, and expensive. This also meant that big data efforts were reactionary, providing insights from out-of-date data. Businesses, however, need to be proactive and able to access, analyze and act upon the most recent data.

Big data was a big effort. Cloud-enabled big data, less so. No more data warehouses, no more hiring dedicated programmers just to run basic analyses. No more sweating collection, compiling, or analysis. And with the best big data tools, even presentation features are built right in.

Consider gathering customer analytics. With the cloud and big data, companies can quickly gather data from multiple sales, marketing, and web analytics, clickstream data, call center, and inventory sources. Then, without needing to use their own massive servers but instead the cloud, companies can compile the data, analyze it, quickly refine it into a presentation, and then act on it.

Best of all, using Hadoop, and user friendly BI interfaces and tools, there’s no need to build data warehouses or to employ a huge team of data scientists. Companies big and small can tap into big data by using cloud-based software, technologies, and servers. This keeps IT costs low, while increasing flexibility and scalability.

The Cloud and Big Data Governance

So the cloud sounds great, right? But many companies worry about governance and maintaining privacy and control. Big data in the cloud brings with it new challenges, and cloud implementations amplify concerns around data privacy and security. That’s why it’s important to build a solid governance plan into your cloud solution. Ensure it’s open architected and forward compatible, so you can keep your cloud solution robust and governable.

We’re entering a new age with the cloud, and cloud technology is starting to become less of a luxury and more of a necessity. Companies that engage in the cloud can build up competitive advantages — there’s a new world starting out there.

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Sherry Tiao Datameer

Sherry Tiao

At Datameer, Sherry explores the realm of big data. Whether it's new uses for big data or the challenges in making it successful, she's passionate about enabling organizations to achieve new data heights.

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