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White Paper: 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.
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: Actian
Four undeniable trends shape the way we think about data – big or small. While managing big data is ripe with challenges, it continues to represent more than $15 trillion in untapped value. New analytics and next-generation platforms hold the key to unlocking that value. Understanding these four trends brings light to the current shift taking place from Big Data 1.0 to 2.0, a cataclysmal shift for those who fail to see the shift and take action, a catalyst for those who embrace the new opportunity. Key take aways from this white paper: 5 Advancements of Big Data 1.0 5 Challenges of Big Data 1.0 Big Data 2.0 – Transformational Value Big Data 2.0 Means Big Value Times Ten
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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