What Is Big Data Analytics In The Cloud?

For each organization regardless of scale, sector, and geographic location, marketing is an integral part. You know companies like Nike, Apple, Google, etc! Even the person living in the remotest location of the world will be aware of these companies. Indeed, that’s the power of marketing campaigns when they are carried out perfectly. But, what would be the perfect way to design your marketing campaigns? Big Data Analytics would be the best answer for you! 

Now, the question arises what is Big Data Analytics and how will it help in designing marketing campaigns? In order to hunt the answer down, let’s have a tour of Big Data Analytics in the Cloud!

What Is Big Data?

Big Data is a collective term used to describe an enormous amount of data. Organizations present content to their customers in the form of images, videos, characters, symbols, as well as quantities. When data, in any format or a collection of all, start stacking up, it becomes Big Data. So, the only difference between ‘Data’ and ‘Big Data’ is the quantity. 

Now, companies try their best to stack the data safely, in order to use it later. The reason why they save it for later is the analytics based on that data. 

What Is Big Data Analytics?

The process of extracting useful information from the data you’ve stored is known as Big Data Analytics. Useful information such as market trends, hidden patterns, customer preferences, and correlations find a place in the analytics. Analytics extracted from Big Data are complex and hard to access. Therefore, Big Data involves certain tools and frameworks in the process for hassle-free execution.   

In order to carry out the Big Data analysis process, you need to involve different frameworks to store, process, access, and retrieve the data. Let’s move to some of the best Big Data Services India has to offer! 

Best Frameworks Offered In Big Data Consulting Services

NiFi

A powerful and reliable framework to distribute and process data. Apache NiFi’s primary intention is to automate the flow of data from one source to another. The scalability, speed, security factor, and fault-tolerant abilities push Apache NiFi at the pinnacle of Big Data services. Apart from that, the compact architecture of the system allows smooth flow with real-time command and control features. 

Cassandra

Cassandra is a database to manage large volumes of data efficiently. With giants like Apple, Netflix, and Instagram already using Apache Cassandra as its core, speaks volumes for the database. The features of fault-tolerance and scalability are the major reasons for this popularity. Apart from that, the cloud infrastructure and cluster computing provide a cushion for more data. 

Spark

Spark is an analytic engine used for processing large volumes of data at the same time. The lightning fast processing speed of Apache Spark makes it ideal for carrying out computations. Another great feature of Spark is the freedom to develop. Indeed, developers can design the applications in Java, Scala, R, Python, and SQL. Additionally, the analytic engine can be swiftly integrated with any other tool to retrieve a prominent solution.  

Hadoop

Hadoop is another framework that offers Big Data processing capabilities with a simple programming model. The framework does not rely on the hardware for high-availability. For that, Hadoop is itself capable of detecting and handling the failures causing high-availability. Effective use of the MapReduce programming model eases the process for developers while designing an application. 

Kafka

Kafka is an event streaming platform designed with the use of Scala and Java languages. The open source platform is well-known for handling data feeds in real-time. However, the high-throughput value remains the unique features of Kafka, which brings the framework to this list. Apart from that, the cluster storage system is the cherry on top for the companies looking for prominent Big Data services. 

Use Cases Of Big Data Analytics

Till now we’ve discussed the different aspects of Analytics that you will get once you opt for Big Data Consulting Services. However, why would you choose these consulting services? How will you use these analytics to drive your business solutions? Let’s find out the answer with the use cases of analytics services. 

1. Analytics will provide the 360-degree information about the customer. Therefore, you can simply design your marketing campaigns based on the requirements of the customer. This will enhance their experience and embuild their loyalty to your services. 
2. Information like purchase history and preferences will help you design the advertisement, specifically targeted based on them. The analytics solutions will help you realize the pain points of the customer, as well. 
3. While developing the product, you need to involve customer requirements as an essential ingredient. Now, the analytics would be the best solution to avail these requirements. 
4. Analytics will strengthen the risk-management strategies of your company. It will analyze the risks based on the correlations and patterns, and will strategize the way forward. 

Conclusion

Considering the basic concept, tools, and use cases, you know what’s on offer with Big Data Analytics. Designing your marketing campaigns has never been an easier task with the inclusion of a data-driven approach. Big Data Consulting Services will pave the way for your data-driven solutions. And, you’ve already got Ksolves providing the best Big Data Services in India has to offer! Contact Ksolves for further details and a long-term partner!

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