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When It Comes to Data and Analytics, Slow and Steady Does Not Win the Race
September 14, 2020 Blog


In the past, planes travelling faster than the speed of sound was thought to be impossible. Among the biggest problems faced by pilots was overcoming an aerodynamic condition known as compressibility. When Chuck Yeager became the first person to break the sound barrier in 1947, he proved that it was not only possible but could be done in a way that left the plane (and the pilot inside) safe and intact.


The pursuit of breaking the sound barrier is reflective of the modern business challenge of meeting lightning-fast data and analytic requirements. Vast amounts of data, coming from a variety of sources, now have to be analysed at increasingly faster speeds in order to produce immediate insights without compromising on the quality, accuracy or integrity of the information.

It is a tough balancing act. The process needs to be stable and reliable, but it mustn’t take too long because the currency of data changes over time. There is a limited window of opportunity for businesses to act on the data before it becomes worthless.

To achieve both reliability and speed, traditional data management and processing techniques just won’t cut it. For example, legacy data warehouses may have their advantages, but they also require time-consuming data wrangling and preparation processes, which means extra work from IT experts within a company.


Unlocking Faster Speeds for Accurate Data Analysis

In this era of constant data flow, however, time should be on your side. Data solutions that were built before clouds were widely adopted are unable to handle the exponential data growth that many enterprises are now experiencing.

With all these challenges in mind, the data analytics experts at Cloudera have fine-tuned Cloudera Data Platform to deliver enterprise-wide insights at the speed and scale required by modern businesses.

As a substitute to “slower” and outdated techniques, Cloudera’s Operational Database lets organisations move towards improved efficiency, new customer insights, better products and services and decreased risk, supplied with the right data at the right time. Cloudera’s Operational Database delivers a secure, low-latency, high-concurrency experience that can extract the real-time insights you need from big data.

Not only that, as Cloudera also delivers a real-time, scalable operational DB that serves traditional structured data alongside new unstructured data within a unified open-source platform. Companies are assured that their data platform is equipped with the scalability, flexibility and speed to enable lightning-fast data analytics.

Cloudera Operational Database enables stream processing and real-time analytics on continuously changing data, ensuring the latest data and analysis can be injected into decision-making. It can also be deployed anywhere, whether on-premises, public or private cloud, or hybrid.


Challenges in data analytics are now getting more complex as companies ingest more data day-by-day. Analytics running in slow data repositories are expensive and time-consuming. Due to these reasons, organisations should rely on a data platform that empowers them to analyse real-time data and scale operations in order to win the data analytics race and leave competitors in the dust.

Learn more about how Cloudera can help you stay ahead of your biggest data-related challenges.