Here’s a quick (but certainly nowhere near exhaustive!) Apache Spark is used by a large number of companies for big data processing. Someone from the Enlyft team will get back to you within 24 hours with more information. Get list of companies that use Apache Spark. Ravindra Savaram is a Content Lead at Mindmajix.com. There should always be rigorous analysis and a proper approach on the new products that hits the market, that too at the right time with fewer alternatives. This is just the beginning of the wonders that Apache Spark can create provided the necessary access to the data is made available to it. Hence, we have seen all the top Spark use cases. Streaming devices at Netflix leverage upon the event data that is being captured and then leverage upon the Apache Spark Machine Learning capabilities to provide very efficient recommendations to their customers. One of them is Apache Spark… By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. filtering and search criteria. Copyright © 2020 Mindmajix Technologies Inc. All Rights Reserved. Enabling oil and gas companies to leverage data analytics, machine learning and AI to unlock new efficiencies in production while … The portal makes use of the data provided by the users in an attempt to identify high quality food items and passing these details to Apache Spark for the best suggestions. Apache Spark at Pinterest: Pinterest, another interesting brand name which has put to use Apache Spark to discover the happening trends in user engagement details. Spark provides a faster and more … All of this has been imbibed into their Video player to manage the live video traffic coming from around 4Billion video feeds every single month. Learn about Databricks solutions by industry from the federal government to healthcare to enterprise technology and software. If you’re interested in the companies that use Apache Spark, you may want to check out Snowplow and Informatica as well. As an open source platform, Apache Spark is developed by a large number of developers from more than 200 companies. #2) Spark Use Cases in e-commerce Industry: #3) Spark Use Cases in Healthcare industry: #4) Spark Use Cases in Media & Entertainment Industry: Explore Apache Spark Sample Resumes! Apache Spark at Netflix: One other name that is even more popular in the similar grounds, Netflix. We will not be adding you to an email list or sending you any marketing materials without your permission. We have data on 10,811 companies that use Apache Spark. Interestingly, the company is using Kafka as an insurance policy for this data, because Kafka will securely store data in a readable format as long as the company needs it to. Apache Spark Apache Spark is an open-source distributed cluster-computing framework and a unified analytics engine for big data processing, with built-in modules for streaming, graph processing, SQL and machine learning. We use Spark to distinguish designs from the real-time in-game occasions. Each & every user interaction at Alibaba is displayed on a large graph & Apache Spark is used … Join our subscribers list to get the latest news, updates and special offers delivered directly in your inbox. Apache Spark has originated as one of the biggest and the strongest big data technologies in a short span of time. Earlier Machine Learning algorithms for news personalization would have required around 20000 lines of C / C++ code but now with the advent of Apache Spark and Scala, algorithms have been cut down to bare minimum of around 150 lines of programming code. Apache Spark at Yahoo: Apache Spark has found a new customer in the form of Yahoo to personalize their web content for targeted advertising. Spark had it’s humble beginning as a research project at UC Berkeley. eBay uses Apache Spark to provide offers to targeted customers based on their earlier experiences and also tries to leave no stone unturned in enhancing the customer experience with them. Netflix is known to process at least 450 billion events a day that flow to server side applications directed to Apache Kafka. It helps users with recommendations on prices querying thousands of providers for rates on a specific route and helps users in identifying the best service that they would want to avail at the best price available from the plethora of service providers. Moreover, these companies gather terabytes of event data from users. Use Cases of Apache Spark in Real Life. Use Cases of Apache Spark in Media and Entertainment World. Apache Spark finds its usage in many of the big names as we speak, some of those Organizations include Uber, Pinterest and etc. In the Big Data category, Apache Spark has a market share of about 2.4%. Netflix has put Apache Spark to process real time streams to provide better online recommendations to the customers based on their viewing history. Distribution of companies that use Apache Spark based on company size (Employees), Distribution of companies that use Apache Spark based on company size (Revenue). Other major and competing products in this category include: Apache Spark is an open source cluster computing framework. Spark is an Apache project advertised as “lightning fast cluster computing”. 46% are small ($1000M). Potential use cases for Spark extend far beyond detection of earthquakes of course. Apache Spark at Alibaba: The world’s leading e-commerce giant, Alibaba executes sets of huge Apache Spark jobs to analyze the data in the ranges of Peta bytes (that is generated on their own e-commerce platforms). Many companies use Apache Spark to improve their business insights. Download & Edit, Get Noticed by Top Employers! customizable courses, self paced videos, on-the-job support, and job assistance. Apache Spark’s key use case is its ability to process streaming data. With so much data being processed on a daily basis, it has become essential for companies to be able to stream and … 50-200 employees and Frequently Asked Apache Spark Interview Question & Answers. 10/15/2019; 2 minutes to read; In this article. A financial institution which is into retail banking and brokerage operations has been using Apache Spark and it has led to a reduction in its customer churn by a whopping 25%. Apache Spark at Conviva: One of the leading Video streaming company names Conviva, has put Apache Spark to use to delivery service at the best possible quality to their customers. There's no ne… Apache Spark in conjunction with Machine learning, can analyze the business spends of an individual and predict the necessary suggestions that a Bank must do to bring the customer into newer avenues of their products through Marketing department. Apache Spark is most often used by companies with A Spark job can load and cache data into memory and query it repeatedly. Frank Nothaft, technical directo… Databricks grew out of the AMPLab project at the University of California, Berkeley. to make necessary recommendations to the Consumers based on the latest trends. Let us take a look at some of the industry specific Apache Spark use cases that has demonstrated abilities to build and run fast big data applications: Banks have started with the Hadoop alternatives as like Spark to access and also to analyze social media profiles, call recordings, complaint logs, emails and the like to provide better customer experience and also to excel in the field that they want to grow. United States and in the Apache Spark at PSL: Many software vendors have taken up to this cause of analyzing patient past medical history to provide better suggestions, food habits, and applicable medications to avoid any future medical situations that they might face. How would it fare in this competitive world when there are alternatives giving up a tight competition for replacements? What is Apache Spark? The Big Data Industry has seen the emergence of a variety of new data processing frameworks in the last decade. Let us take a look at the possible use cases that we can scan through the following: Apache Spark at MyFitnessPal: One of the largest health and fitness portal named MyFitnessPal provides their services in helping people achieve and attain a healthy lifestyle through proper diet and exercise. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. Companies and Organizations To add yourself to the list, please email dev@spark.apache.org with your organization name, URL, a list of which Spark components you are using, and a short description of your use … We use the best indexing techniques combined with advanced data science to monitor the market share of over 12,500 technology products, including Big Data. The use case where Apache Spark was put to use was able to scan through food calorie details of 80+ million users. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size. Apache Spark can be used for a variety of use cases which can be performed on data, such as ETL (Extract, Transform and Load), analysis (both interactive and batch), streaming etc. Spark also integrates into the Scala programming language to let you manipulate distributed data sets like local collections. In-memory computing is much faster than disk-based applications, such as Hadoop, which shares data through Hadoop distributed file system (HDFS). So if you’re in the dark as to what Apache Spark … Definitely not! Looking at Apache Spark, you might understand the very reason why is it deployed. Basically, Apache Spark is used in many notable business industries as mentioned above. When it comes to big data tools, Apache Spark is gaining a rock star status in the big data world these days, and major big data players are among its biggest fans. The companies using Apache Spark are most often found in United States and in the Computer Software industry. Apache Spark has created a huge wave of good vibes in the gaming industry to identify patterns from real time user and events, to harvest on lucrative opportunities as like auto adjustments on gaming levels, … Apache Spark Use Cases in the Travel Industry. .NET for Apache Spark is part of the open-source .NET platform that has a strong community of over 60,000 contributors from more than 3,700 companies..NET is free, and that includes .NET for Apache Spark. Of all the customers that are using Apache Spark, Apache Spark: A New Dimension in Big data Industry for Data Scientists Apache Spark shows an arena for the data scientists where they can build sophisticated data analysis models. Apache Spark at eBay: One other giant in this industry, who has ruled this industry for long periods is eBay. Apache Spark is used in the gaming industry to identify patterns from the real-time in-game events and respond to them to harvest lucrative business opportunities like targeted … Analyzing and processing the reviews on hotels in a readable format has been achieved by using Apache Spark for TripAdvisor. Some of the Apache Spark use cases are as follows: E-commerce: Many e-commerce giants use Apache Spark … Apache Spark has created a huge wave of good vibes in the gaming industry to identify patterns from real time user and events, to harvest on lucrative opportunities as like auto adjustments on gaming levels, targeted marketing, and player retention in final and so on. Apache Spark is an open-source parallel processing framework that supports in-memory processing to boost the … These companies are specializing in particular conditions, but one healthcare IT firm is building on an open source framework to open up all kinds of data sets analysis. With these details at hand, let us take some time in understanding the most common use cases of Apache Spark, split by industry types for our better understanding. Our data for Apache Spark usage goes back as far as 4 years and 5 months. Apache Spark is an open-source distributed general-purpose cluster-computing framework. However, Apache Spark is not the one, there … Surprisingly, it also runs some of the largest Apache Spark jobs in the world! have taken advantage of such services and identified cases earlier to treat them properly. Apache Spark is most often used by companies with 50-200 employees and 10M-50M dollars … You would also wonder where it will stand in the crowded marketplace. This enables the company to both r… Hospitals have turned towards Apache Spark to analyze patients past medical history to identify possible health issues based on their medical history. This not only enhances the customer experience in providing what they might require in a proactive manner, also helps them to efficiently and smoothly handle customer’s time on the e-commerce site. In this … In addition to the capability it offers, Apache Spark provides APIs in multiple programming languages, hence its flexibility for business applications across multiple industry … Mindmajix - The global online platform and corporate training company offers its services through the best Of all the customers that are using Apache Spark,26% are small (<50 employees), 44% are medium-sized and 31% are large (>1000 employees). Banking firms use analytic results to identify patterns around what is happening, and also can make necessary decisions on how much to invest and where to invest and also identify how strong is the competition in a certain area of business. Building Lambda Architecture with the Spark Streaming, Exploring Apache Spark StandAlone Cluster. We make learning - easy, affordable, and value generating. Each and every innovation in the technology space that hits the current requirements of Organizations, should be good enough for testing them on use cases from the marketplace. Apache Spark is an open-source, distributed processing system used for big data workloads. Spark comes with a library of machine learning and graph algorithms, and real-time streaming and SQL app, through Spark Streaming and Shark, respectively. One of the best examples is to cross-check on your payments, if they are happening at an alarming rate and also from various other geographical locations which could be practically impossible for a single individual to perform as per the time barriers – such fraudulent cases can be easily identified using technologies as like Apache Spark. Spark was acquired by the Apache Software Foundation in 2013 and is currently available as open source technology. The companies using Apache Spark are most often found in Visit .NET for Apache Spark … To gain in-depth knowledge in Apache Spark with practical experience, then explore  Apache Spark Certification Training. You can stay up to date on all these technologies by following him on LinkedIn and Twitter. Recently O’Reilly Ben Lorica interviewed Ion Stoica, UC Berkeley professor and databricks CEO, about history of apache spark. For example, video streaming and many other user interfaces. Spark provides primitives for in-memory cluster computing. If the predictions of industry experts are to be believed, Apache Spark is revolutionizing big data analytics. The volume and type of data they can use for such analysis were beyond imagination before Spark. Apache Spark has received immense popularity as a game changer in the big data world due to its streaming analytics and stream data processing features. Improve Production and Reduce Downtime with Data Analytics and AI . sampling of other use cases that require dealing with the velocity, variety and volume of Big Data, for which Spark is so well suited: In the game industry… Generally, travel ventures are utilizing spark … Banks have also put to use the business models to identify fraudulent transactions and have deployed them in batch environments to identify and arrest such transactions. Apache Spark™ is a unified analytics engine for large-scale data processing. An entertainment company with an industry-leading gaming platform must process in real time millions of transactions per day and ensure it has a very low drop rate for messages. The Spark software … We fulfill your skill based career aspirations and needs with wide range of Most of the banks have already invested heavily in using Apache Spark to provide them a unified view of an individual or an Organization, to target their business products based on the usage and also based on their requirements. In the past, it used Apache Spark, a powerful open source processing engine, and Hadoop, but it recently switched to Kafka. 59% of Apache Spark customers are in United States, 5% are in United Kingdom and 5% are in India. Apache spark ecosystem is used by industry to build and run fast big data applications, here are some application of sparks: In the e-commerce industry: To analyze the real-time transaction if a product, … By providing us with your details, We wont spam your inbox. Thinking about this, you might have the following questions dwelling round your mind: All these questions will be answered in a little while going through the chief deployment modules that will definitely prove uses of Apache Spark being handled pretty well by the product. Computer Software industry. Other Apache Spark Use Cases. This will also enable them to take right business decisions to take appropriate Credit risk assessment, targeted advertising and Customer segmentation. Nominative use of trademarks in descriptions is also always allowed, as in “BigCoProduct is a widget for Apache Spark”. Thus, it maintains the constant smooth and high-quality customer experience. This has been achieved by eliminating screen buffering and also in learning with great detail on what content to be shown when to who at what time to make it beneficial. trainers around the globe. This has been done to react to the developing latest trends in the real time by performing an in-depth analysis of user behaviors on their website. Also, engage them in real-time interactions. Before exploring the capabilities of Apache Spark and also analyzing the use cases where it finds its perfect usage, we need to spend quality time in learning what is Apache Spark about? Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. The cost depends on various factors, such as number of records, number of products and use of advanced eBay does this magic letting Apache Spark leverage through Hadoop YARN. Machine learning algorithms are put to use in conjunction with Apache Spark to identify on the topics of news that users are interested in going through, just like the trending news articles based on the users accessing Yahoo News services. These Organizations extract, gather TB’s of event data from their day to day usage from the Users and engage real time interactions with such created data. 10M-50M dollars in revenue. Event Streaming is a hot topic in Telco Industry.In the last few months, I have seen various projects leveraging Apache Kafka and its ecosystem to implement scalable real time infrastructure in … Healthcare industry is the newest in imbibing more and more use cases with the advanced of technologies to provide world class facilities to their patients. Doing so, they deduce the much required data using which they constantly maintain smooth and high quality customer experience. As it is an open source substitute to MapReduce associated to build and run fast as secure apps on Hadoop. It has a thriving open-source community and is the most active Apache project at the moment. There are no fees or licensing costs, including for commercial use. The results then observed can also be combined with the data from other avenues like Social media, Forums and etc. Apache Spark at TripAdvisor: TripAdvisor, mammoth of an Organization in the Travel industry helps users to plan their perfect trips (let it official, or personal) using the capabilities of Apache Spark has speeded up on customer recommendations. Furthermore, if you know any other top use cases of Spark, feel free to share, in the comment section. Apache Spark vs. Apache Beam—What to Use for Data Processing in 2020? Customize Apache Spark users by location, employees, revenue, industry, and more. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation that has maintained it since. While some of these jobs analyze thousands of petabytes data, others are busy performing extraction on image data. Most of the Video sharing services have put Apache Spark to use along with NoSQL databases such as MongoDB to showcase relevant advertisements for their users based on the videos that they watch, share and on activities based on their usage. Out of the millions of users who interact with the e-commerce platform, each of these interactions are further represented as complicated graphs and processing is then done by some sophisticated Machine learning jobs on this data using Apache Spark. Apache Spark is gaining the attention in being the heartbeat in most of the Healthcare applications. Patients with history of Sugar, Cardiovascular issues, Cervical Cancer and etc. Also, it allows reacting to harvesting worthwhile business opportunities. Looking at Apache Spark customers by industry, we find that Computer Software (33%) and Information Technology and Services (10%) are the largest segments. Apache Spark is one of the most interesting frameworks in big data in recent years. These companies gather terabytes of data from users and use it to enhance consumer services. Databricks was founded by the original creators of Apache Spark, an open-source distributed cluster-computing framework built atop Scala. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Information related to the real time transactions can further be passed to Streaming clustering algorithms like Alternating Least Squares or K-means clustering algorithms.
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