White Paper: 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
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 myriad of technology choices available as well as, the sheer size, volume, and velocity of data. Key questions from this whitepaper: What are the common questions and challenges that the operators are facing when starting a Big Data project? What are the best practices to avoid being trapped in the ever‐lasting big data project that fails to generate any revenue? Should the big data project be carried out by the IT department or should it be led by a dedicated organization, under a new function like a Chief Data Officer, distinct from traditional IT?
The technological platforms such as cloud, big data, telecom industry, and social media are engaging towards better customer service, workforce collaboration, and cost efficient means. It is essential to address the maximizing of IT infrastructure and the efficiency of physical data centre in order to intelligently monitor the availability of resources. The Data Center Infrastructure Management (DCIM) system allows for an intelligent edge that can spell the difference between success and failure to an organization. Organization that spends efficiently on its resources always gains a competitive edge to its competitors. Find out more about the DCIM systems and enhance your business productivity through the White paper below to address your concerns: Does my data center perform to the optimum levels of efficiency? How will DCIM systems bring innovation and competitive edge to my organization? Is the space utilization and connectivity tracking of the data center equipment getting hampered?
What is Business Intelligence ?
Business intelligence is a technology-driven process in which variety of software applications are used to analyze organization’s raw data and presenting the information in actionable format so executives and business leads can make better decisions looking at them. Although business intelligence has some common functions, it includes three basic functions: data mining, data analyzing and data processing.
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
What is Analytics ?
Analytics is the process of obtaining an optimal and realistic decision based on examining existing data, typically large sets of business data, with the aid of mathematics, statistics, specialized systems and software. In the last few years use of analytical methods to extract useful insights from data have gained immediate importance and has helped several companies improve their business performances.