Nokia is a global corporation that specializes in consumer electronics, information technology, and telecommunications. It was established in 1865, as the industry pioneer in mobile services, Nokia made the decision to focus on the data age of mobility the technique of gathering and processing large amounts of data in order to improve user experience. More recently, this organization was particularly motivated by the widespread trend of using terabytes of unstructured data to investigate viable hardware platforms for setting up a big data analytics infrastructure. Let us learn what big data is and how Nokia uses it?
For more than 150-year history, Nokia has transformed from a paper manufacturer in the 1800s to a market leader in mobile and location services that today links more than 1.3 billion people. Nokia has always turned resources into valuable goods, from rubber and paper to electronics and mobile devices. Today's resource is data. By utilizing digital data to make it simpler to navigate the real world, Nokia wants to usher in the third phase of mobility. Nokia needed to develop a technological answer that would enable the gathering, storing, and analyzing of almost infinite data kinds and quantities to accomplish this aim.
What is Big data?
Big data is a blend of old and new technologies that enable businesses to acquire meaningful knowledge. Big data is the capacity to manage a large volume of diverse data at the proper speed and at the right time frame to allow for real-time analysis and reaction. There are five main characteristics of Big data. They are also known as the 5 V’s of Big data.
Volume
It refers to the quantity of data that exists. Volume is the foundation of big data since it is the initial quantity and amount of data collected. When the volume of data is vast enough, it is referred to as big data.
Velocity
It refers to the speed with which data is created and moved. This is a crucial factor for businesses that want their data to flow fast. Data should be available at the appropriate moments to make the best business decisions possible.
Variety
The term "variety" refers to the variety of data kinds. An organization may collect data from various sources, the value of which may vary. Data may originate from both inside and outside of a company.
Veracity
It speaks of the reliability and excellence of the data. The collected data can be incomplete, erroneous, or unable to offer insightful information. Veracity generally refers to the degree of confidence in the data that has been gathered. The quality and insights derived from data are defined by both value and authenticity.
Value
This refers to the value that big data may offer. It is directly related to what businesses can do with the information gathered. Extracting value from large data is essential since their worth rises with the knowledge that can be learned from them.
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Nokia sells equipment and services for wireless communication. The business sees its data as a valuable strategic asset. A multi-petabyte platform used for its big data analytics service runs over tens of thousands of tasks daily. This entails analyzing gigabytes of streaming data using powerful analytics. For instance, the business is interested in seeing how users engage with various programs on their phones. Nokia wants to know which features people use, how they use them, how they switch between them, and whether they get lost while using an application. The organization can plan new features for its applications and increase client retention thanks to this level of data.
Technologies used by Nokia for Big data
In order to act as the company's major information hub, Nokia placed its central CDH cluster into production in 2011. From the beginning to the end of the implementation, Cloudera provided support, ensuring that the cluster was effectively integrated with other Hadoop clusters and relational technologies for the highest level of performance and dependability. By incorporating traffic models that comprehend speed categories, recent speeds on roadways, historical traffic models, elevation, ongoing events, global video feed, and more into 3D digital maps, Nokia is now pushing the analytics boundaries using Hadoop. To rapidly transfer data from, for instance, servers in Singapore to a Hadoop cluster in the UK data center, Nokia runs hundreds of thousands of Scribe processes per day. Sqoop is used by the business to transfer data from HDFS to Teradata and/or Oracle. Nokia also uses HBase to serve data obtained via Hadoop.
What is Hadoop?
Hadoop is an open-source platform for storing big datasets ranging in size from gigabytes to petabytes. Instead of storing and processing data on a single huge computer, Hadoop enables the clustering of numerous computers to analyze massive datasets in parallel more efficiently.
Hadoop is made up of four major modules:
HDFS (Hadoop Distributed File System) - It is a distributed file system that works on conventional or low-cost hardware. HDFS outperforms traditional file systems regarding data performance, fault tolerance, and native support for large datasets.
YARN (Yet Another Resource Negotiator) - Manages and monitors cluster nodes and resource utilization. It organizes jobs and tasks.
MapReduce: MapReduce is a framework that assists applications in doing parallel computing on data. The map task translates input data into a dataset that can be calculated in key-value pairs. Reduce tasks consume the output of the map task to collect the output and produce the required result.
Hadoop Common - Provides Java libraries that are shared by all modules.
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Why does Nokia use Big data?
Nokia's capacity to comprehend and enhance consumers' experiences with their phones and other location-based devices has become largely dependent on the effective gathering and utilization of data. According to Amy O'Connor, Senior Director of Analytics at Nokia, "Nokia differentiates itself based on the data we have." The business uses data processing and intricate studies to produce maps with predicted traffic and layered elevation models, to gather data on tourist attractions across the globe, to comprehend the quality of phones, and for other purposes. Nokia relies on a technological ecosystem that comprises a Teradata enterprise data warehouse (EDW), several Oracle and MySQL data marts, visualization tools, and, at its heart, Hadoop to expand and sustain its substantial usage of Big Data.
Frequently Asked Questions
Which companies are using Hadoop for big data analytics?
Hadoop is apparently used by 359 businesses in their IT stacks. Some of the popular companies are Uber, Airbnb, Shopify, Pinterest, Netflix, Spotify, Twitter, and Slack.
How is Hadoop more suitable for Big Data?
Hadoop is one of the first open-source Big Data platforms. It is highly scalable and runs on commodity hardware. It includes HDFS, which is Hadoop Distributed File System. It can store very large unstructured data in a distributed fashion.
What are some of the Real-world examples of big data applications?
Some of the real-world examples of big data are:
Analyze seasonal trends to scale up or down staffing.
By identifying process bottlenecks using monitoring data, efficiency may be raised.
Decide to utilize the information that is almost real-time.
By viewing a comprehensive perspective of their data, company owners might identify the potential for new routes.
Find outliers that can make the true narrative difficult to see.