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White Paper: 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 emerge for extracting data from various data sources.
This whitepaper provides insights on how Apache Spark stands out as a next-generation super-fast distributed computing engine for Big Data applications.
Inception of Apache Spark
Spark Ecosystem: A unique API library design
Range of libraries supported by Spark
By: DataFactZ Solutions
Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper talks about data visualization techniques that enable the user to make faster decisions and a better technological investment. Inside this Visualization White Paper: Interactive visualization: Clear and effective in communicating the content List of DOs and DON’Ts in data visualization Guide to choose the right chart type for successful data visualization
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 enhanced Lambda Architecture in AWS using Apache Spark. Key takeaways from this whitepaper: Traditional Lambda Architecture Three Processing Layers of Lambda Architecture Components of Lambda Architecture on Amazon Web Services
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