It can cost millions of dollars to develop and market a video game so it’s critical to online gaming companies that these games are highly successful. That means, of course, that the games must function extremely well with low latency, high availability, dependable performance and scaling capacity. If not, users may turn elsewhere in this highly lucrative and competitive market.
More robust analytics workloads and analyzing data in-place faster and more efficiently.
It’s no secret that consumers can be wary of companies seeking to collect their online personal data. They may worry about how the data will be used, who will have access to it, and if the data will be kept secure from fraudsters.
More companies are turning to data to improve the customer experience, but the problem is that many of them aren’t collecting the right data in the right way – and that means they fall short of offering the kind of personalized shopping that consumers desire.
For online gaming companies that want to take advantage of the skyrocketing marketplace, there are critical factors they must address if they want to compete effectively and satisfy users.
Since the pandemic began, first person research has revealed that retail executives have focused more on integrating data from different sources and in developing real-time data analysis to address critical business objectives.
The California Consumer Privacy Act (CCPA) became law on Jan. 1, 2020, and ad tech companies are among those businesses that must inform consumers of any personal data being collected and then give those consumers the option to have it deleted.
NoSQL databases can store and manage data both quickly and flexibly. Google, Amazon, Yahoo and Facebook have all had a hand in developing these databases as they sought to store their content or processive data for their websites.
When data is collected it can be sent across long routes to data centers or clouds. But with edge computing, that data is collected and analyzed closer to the “edge” of the network. That means that organizations can analyze data in near real-time, which is often critical for many industries such as healthcare, telecommunications or finance.
If you’ve had Redis for a while and are starting to run into issues with growing workloads, you’re not alone. Many of our customers have migrated to Aerospike from Redis, and that number is growing.
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