The ClearScale Cloud Newsline - The Big Data Issue

AWS Analytics Services: The Key to Big Data Success

The term “big data” is everywhere. But what exactly does it mean? Big data refers to data that is generated so quickly in such high volumes that traditional data processing approaches don’t work. Big data is only valuable if you have the right tools. The good news is that thanks to modern cloud technology, the right tools are more accessible than ever.

Cloud services providers today offer virtually unlimited data storage, efficient data processing capabilities, and powerful analytics tools. As a result, organizations can tap into more diverse data sources and gather detailed intelligence about their customers, services, and markets. The key is knowing what cloud tools are out there and how to leverage them appropriately.

Why is Big Data Valuable?

Big data is how modern organizations discover insights that would otherwise be impossible to find. As more people participate in the digital economy, we have the ability to understand our world in a higher resolution. And better understanding means better decision-making.

What’s more, big data is getting “bigger” all the time. Experts estimate that we produce a minimum of 2.5 quintillion bytes of data every day. This data includes chat messages, video uploads, usage statistics, downloads, swipes – really any engagement that we can capture. Big data even accounts for unstructured data, like audio messages, images, and text files.

Across these data types is evidence of what people want and need. Organizations that can uncover this evidence are more likely to make smarter choices, and, consequently, beat out the competition. More specifically, big data leads to findings that help business leaders identify untapped niches, inefficient processes, operational risks, and growth opportunities…

Continue reading to find out how to harness the power of big data.

Did You Know?

Currently, there are more than 44 zettabytes of data in the digital universe.?

In 2019, there were 4.4 ZB of data in the digital universe. In 2020, that figure rose tenfold — to 44 ZB. How much is a zettabyte? One trillion gigabytes! PWC

Tales From the Trenches

USA Baseball Upgrades Data Infrastructure With Scalable AWS Data Lake

The national governing body for amateur baseball wanted to upgrade its data management practices and store information in a scalable repository to enable advanced analytics. ClearScale set up a data lake on AWS capable of ingesting and storing information about tens of thousands of baseball players. USA Baseball now has the infrastructure it needs to handle its ever-growing data volumes in an efficient manner, and improve its data-sharing processes - both with athletes and with the 30 MLB clubs. Read more .

Quik Sets Up Data Management Infrastructure to Evaluate User Experiences

Quik! wanted to update its data collection, storage, and reporting capabilities related to its automated forms management solution. ClearScale set up a secure data lake, data ingestion layers, and a flexible data warehouse so that Quik! could gather detailed information about how its users engaged with core products. Quik! now has a sophisticated data management capability through which it can analyze user data, identify growth opportunities, and enhance the value of its automated form solution while increasing customer retention and adoption. Read more .??

Quotable

"Information is the oil of the 21st century, and analytics is the combustion engine.” - Peter Sondergaard, Senior Vice President, Gartner

“It is a capital mistake to theorize before one has data.” - Sherlock Holmes in A Study in Scarlet

?Technology Trends?

The Five Elements of Cloud Data Lake Deployments

Data lakes are crucial for helping companies discover deeper insights about their customers and operations. With this background in mind, here are the questions you need to consider for any data lake deployment… Read the Article

AWS Analytics Services: The Key to Big Data Success

With big data, we have the ability to know more and guess less. The challenge lies in knowing how to invest your time and resources efficiently to hit the ground running as soon as possible. That’s where AWS comes in. Read the Article

Building a Data Lake With AWS Lake Formation

Building a data lake isn’t simple. Without the right technology, architecture, data quality, and data governance, a data lake can easily become a data swamp. Fortunately, the use of modern data lake solutions and the cloud — the AWS Cloud, in particular — simplifies things. Read the Article

Featured Cloud Resource

Data lakes are scalable repositories for storing raw data from many sources in one place. And because data lakes can store unstructured data, IT teams don’t have to do as much processing work on the front end to run different types of analytics.

In AWS Data Lakes: A Comprehensive Guide we discuss how when data lakes are implemented on the AWS cloud, they can achieve their full potential. And for those considering using the technology, we describe why it’s important to understand what goes into setting up a modern data lake.

Get the eBook Now

Learn From the Experts

Get Comfortable With Containers Technology

Building a data lake isn’t easy. Fortunately, modern data lake solutions and the cloud — the AWS Cloud specifically — simplify things. Join ClearScale Lead Solutions Architect (and AWS Ambassador) Anthony Loss for a deep dive into data lakes, including case studies from real-world companies that benefited from data lakes on the cloud.

Watch on Demand

Cloud Terms Defined

Data Pipeline

Data pipelines are used to streamline the processes involved in moving information from one location to another. For example, data pipelines can automatically extract, transform, load, combine, and validate data for further processing. At a time when organizations are collecting more information than ever, data pipelines help eliminate errors and bottlenecks.

Read other cloud computing terms in the ClearScale Glossary of Cloud Computing .

Learn More About Big Data?

Want to know more about how to harness the power of your big data? Visit ClearScale’s AWS data analytics services page.?