Features

Sunayu utilizes Spark to process your Big Data

authored by: Kim Crawley

Big Data can easily get too big to handle. It’s estimated that the technological per-capita capacity to store information doubles roughly every three and a half years or so. It was estimated by 2020 that the world’s total collective computer data volume is roughly 44 zettabytes! For perspective, a zettabyte is 1,000,000,000,000,000,000,000 bytes or a billion terabytes. A typical external HDD for consumer usage has one to ten terabytes, and that alone seems like an awful lot of data storage on a personal level. By 2025, it’s estimated that there will be about 163 zettabytes of data in the world if all of our collective data storage is combined. 

Your business network may have petabytes of data, with each petabyte containing a thousand terabytes. That’s still a real challenge to process and analyze. You must make sure you have the correct tools and expertise to manage it. Sunayu has both, and we’ll relieve your business of burden.

Wield the power of Apache Spark

Apache Spark has surged in popularity alongside Hadoop. It’s easy to understand why. Developers can work with its APIs really effectively. And Spark was developed from the ground up to address limitations in cluster computing. 

Implement better machine learning than ever before! Spark’s MLlib library maximizes its distributed memory-based architecture for optimal data analytics efficiency. Sunayu can use Spark to help your business process massive amounts of data through AI like never before. Even if your network’s data lake seems more like a data ocean!

What sort of Big Data processing does your business need? Collaborative filtering, cluster analysis, feature extraction, random data generation, logistic regression, Decision Trees, Random Forests? We’ll help you make it happen.

Data lakes pose unique challenges

It’s easier to collect a data lake because you can leave your data in its own native formats. But massive data analysis needs combined with a lack of metadata can make newbies feel wary. As Gartner’s Anthony White wrote: “The need for increased agility and accessibility for data analysis is the primary driver for data lakes. Nevertheless, while it is certainly true that data lakes can provide value to various parts of the organization, the proposition of enterprise-wide data management has yet to be realized.”

But Internet of Things tech is booming, so data lakes simply cannot be avoided. Sunayu can manage your data lake with confidence, ready to process it through Spark for maximum efficiency and effectiveness.

ACID transactions made possible with the Delta Lake storage layer

Massive databases face huge problems. Anything from electrical issues to incomplete data ingestion, to little bugs that become larger errors that can invalidate your data. Big Data coincides with a much greater risk of little problems exploding exponentially on a large scale. 

So your data transactions must be ACID– assuring atomicity, consistency, isolation, and durability. Sunayu processes ACID transactions through Spark with the Delta Lake storage layer.

Opensource software can be easier to improve over time, with potentially thousands of developers available to tweak the code base here and there. So it’s good to know that Delta Lake has become the opensource standard for interfacing with data lakes. From an October 2019 press release:

“At today’s Spark + AI Summit Europe in Amsterdam, we announced that Delta Lake is becoming a Linux Foundation project. Together with the community, the project aims to establish an open standard for managing large amounts of data in data lakes. The Apache 2.0 software license remains unchanged.

Delta Lake focuses on improving the reliability and scalability of data lakes. Its higher-level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Since we open-sourced Delta Lake six months ago, we have been humbled by the reception. The project has been deployed at thousands of organizations and processes exabytes of data each month, becoming an indispensable pillar in data and AI architectures.

To further drive adoption and grow the community, we’ve decided to partner with the Linux Foundation to leverage their platform and their extensive experience in fostering influential open source projects, ranging from Linux itself, Jenkins, and Kubernetes.”

Sunayu has the experience and the resources to maximize the Delta Lake storage layer to keep your data lake intact and analyzed!

The Big Data Analytics your business needs

Cloud platforms like AWS and Microsoft Azure has made massive data storage more flexible, scalable, and affordable than ever for organizations in all industries. Chances are your data lake isn’t on premises! Sunayu is ready for the practical present and exciting future of the cloud in a big way to manage your Big Data.

Whether your business needs to mitigate fraud, optimize your supply chains, or otherwise integrate previously unmanagable quantities of data, let the experts make it happen. Because one day your network’s petabytes will turn into exabytes and your Big Data will become Bigger Data. Get ready for the future because the possibilties of machine learning will capture your awe!