Your Guide to Managing and Implementing Big Data Platforms

Big data today is the fuel and driving force of any business' growth. A company's ability to hit the right solutions at the right time may only be possible with the help of big data platforms. A company may not be able to achieve its goals and achievements regarding sale if it can't understand how the market is responding, how its products are delivered and how everything is in sync in one giant architecture.

But there are also many wrong ways to implement a big data structure for a company. The wrong guide may not be able to give you the big data options required for a company to deploy an efficient strategy to answer big data concerns. This guide will hopefully solve that by offering some of the right ways that managers and IT professionals can perform big data problem-solving tricks today.

1. Quantity That Matters

The first good tip we can put here to help businesses implement the right business solutions in big data is the issue of quantity. A company has to use the most quality platforms in the industry today, but what makes it even more clever is to tap all those platforms altogether. That way, you won't put all your eggs in one basket, and you can take advantage of the benefits of each platform and only paying a little risk.

2. Use the Prominent Ones

One other tip that IT managers should not forget in implementing big data solutions is by using the prominent platforms available in the market. It helps to know that the important options you have for your significant data problems will be more than enough to solve your concerns. Some of the more prominent software you can use for your business include Hadoop, database technologies, and solutions from Spark.

There are newer technologies today that are broad enough to answer even the most specific big data concerns, but all of these might be too costly. Choose the ones that are popular but are also reasonably priced. Deploy only in your company those platforms that guarantee higher payoffs with little cost. One thing is for sure though: all these technological advancements help firms have more flexibility in the way they handle their big data architecture.

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3. Build Real-Time Analysis

Big data is known to belong in the Extremistan, where all changes have great effects and sometimes contain tail risks that no one can calculate. It helps to know that the big data platforms today have a real-time analysis feature so that anytime the applications of big data platforms go haywire, it's now easy to spot the problem and remedy it. In fact, many organizations today use a variety of platforms with the real-time feature so that data streaming and analysis can help them understand the concerns in their data.

4. Always Compare

EMA analyst John Myers explained in an article about big data evaluation that IT teams should always do a comparative analysis to know which of the big data platforms today can offer the most benefits, considering that most of them might not be able to handle big workloads. It takes a lot of data to control big data. It takes a lot of expertise. To acquire these, you should know how to compare the different platforms and get the right one that only suits your company's needs.

5. Compare Batch Processing Speed

There is critical importance in the speed of any significant data catalog architecture. It is integral in a company's ability to digest data to arrive at a crucial decision that helps them land the sale goals they want. One of the excellent processing engine today that can help you do this is Apache Spark, which is now leading with Hadoop in producing outstanding results.

That said, we hope that you make the best use of this guide. Big data platforms provide useful tools to help your business grow and keep your target market satisfied.

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