Apache Spark, designed by AMPLab of the University of California, Berkley and hosted by Apache Software Foundation is an open source software framework for high-speed cluster computing. It has a flexible and agile form of a computing and works on various other open source software frameworks and supports existing data of the aforementioned frameworks. It has an in-memory data processing engine and is a distributary platform for the development and deployment of the complex multi-layered applications. Spark offers Spark-shell for a beginner to start running and writing applications, thus making it an ideal software.
High-speed processing: It runs 100 times faster than Hadoop’s MapReduce in memory and 10 times faster on disk.
Enhanced Lambda Architecture in AWS using Apache Spark
White Paper By: DataFactZ Solutions
Lambda architecture can handle massive quantities of data by providing a single framework. Through Amazon Web Services, we can quickly implement the Lambda Architecture, reduce maintenance overhead and reduce costs. Lambda Architecture also helps in reducing any delay between data collection and availability in dashboards using Apache Spark. This whitepaper discusses about the benefits of...
Big Data Analytics using Apache Spark
White Paper By: DataFactZ Solutions
Apache Spark is the next-generation distributed framework that can be integrated with an existing Hadoop environment or run as a standalone tool for Big Data processing. Hadoop, in particular, has been spectacular and has offered cheap storage in both the HDFS (Hadoop Distributed File System) and MapReduce frameworks to analyze this data offline. New connectors for Spark will continue to...
Optimizing Apache Spark™ with Memory1™
White Paper By: Inspur Group Co. Ltd
Apache Spark is a fast and general engine for large-scale data processing. To handle increasing data rates and demanding user expectations, big data processing platforms like Apache Spark have emerged and quickly gained popularity. This whitepaper on “Optimizing Apache Spark with Memory1”demonstrates that by leveraging Memory1 to maximize the available memory, the servers...
Big Data Projects‐ Paving the path to success
White Paper By: Intersec Group
The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models. The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the...
Big Data is Here: What can you actually do with it
White Paper By: Intetics
Big data is everywhere, but how are companies actually using it? Whether you want it to or not, the tech world is transitioning into a data-driven age. With these changes new technologies are taking hold, and companies are finding new and exciting ways to implement ideas and bring innovation to their businesses. This presentation brings forth the most transformative and pressing ideas for...
Cloud for Business Continuity: Separating Fact From Fiction
White Paper By: Unitrends
Business Continuity and Disaster Recovery were the most commonly cited reasons (60%) for having adopted Cloud-based solutions for backup and recovery. Enterprises acknowledge that cloud backups and recovery are required to maintain business operations and business continuity. The ability to recover data, when needed, in a cost effective manner was widely cited as one of the main criteria...