BDNW Issue - 14

#14 - Aug 23, 2019 Curated news, articles on Big Data,FinTech, Blockchain, IoT,AI

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Big Data on Azure: Best PracticesMicrosoft Azure offers a suite of data services, some work for big data, while others would be better for other purposes. In this article, you’ll find a review of big data, Microsoft Azure services, and best practices for setting up your big data solution on Azure.The Impacts of AI and Big Data on Digital Asset ManagementAI and big data analytics are the biggest technological advances providing benefit to businesses today and their use can contribute significantly to the improvement and optimization of asset management if used wisely.5 Reasons You Should Consider Implementing DataOpsDriving data value by applying Agile methodology to the data processing pipeline, is the main goal of the DataOps approach. In this article, I’ll explain what exactly is DataOps, the differences between DevOps and DataOps and the top reasons to implement a DataOps model now. Read on to find out more.The Best Open-Source Log Management Tools for Log Analysis, MonitoringLogs contain valuable information about the health of your applications, can point you directly to application errors or uncover security problems in your infrastructure. Therefore, Log Management is one of the most important tasks for DevOps Engineers and IT Administrators.Build, secure, and manage data lakes with AWS Lake FormationA data lake is a centralized store of a variety of data types for analysis by multiple analytics approaches and groups. Many organizations are moving their data into a data lake. In this post, we explore how you can use AWS Lake Formation to build, secure, and manage data lakes.Deep-Dive: PostgreSQL on AWS AuroraTo get warmed up, I started from the Aurora PostgreSQL homepage where I noted that the benchmark showing that Aurora PostgreSQL is three times faster than a standard PostgreSQL running on the same hardware dates back to PostgreSQL 9.6.The Tipping Point For Mass Blockchain AdoptionReal-World Applications of Blockchain,” Dan Weinberger, Co-founder, and CEO of MORPHEUS NETWORK, says that “distributed ledger technology (DLT) has the same transformative power as the internet had in the early 1990s.AI vs. Machine Learning: The Devil Is in the DetailsLearn more about the differences between artificial intelligence and machine learning, along with the practical applications of these technologies.Role of the Human being in a Robot led Work EnvironmentIt is not a secret anymore that robots are taking over at work. As a result, this scenario is raising concerns not only from workers but also from the owners of the factors of production.The impact of Big Data on web development and web designBig Data has become a popular topic of discussion in recent years, supporting businesses and IT specialists in a variety of processes. In simple words, Big Data refers to immense volume of data, both structured and unstructured, which can’t be processed with existing traditional applications.     Books       Big Data Science & Analytics: A Hands-On Approach  We are living in the dawn of what has been termed as the "Fourth Industrial Revolution", which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a new world of Internet of Things (IoT).   Programming Hive: Data Warehouse and Query Language for Hadoop   Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.          For a detailed list of books covering Big data Data Science, Machine Learning, AI and associated programming languages check out our big data books page.  Want to reach our audience / fellow readers? Consider Sponsoring - grab a spot now.    Big Data | Hadoop News | AI | ML | NoSQL | Education | IoT | Cloud