BDNW Issue - 10

#10 - March 14, 2019 Curated news, articles and Books related to Big Data.

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6 Big Data Experts You Can See Live in 2019If you’re an industry professional involved in big data, machine learning and artificial intelligence, or you just want to know more about where these technologies are headed, 2019 is a great year to see some industry giants lay out their vision. The following six big data experts are widely known in their respective fields and beyond.The Importance of Data LineageThe new critical area of business intelligence is to collect and manage large amounts of data to assist your company with making better decisions. Today data is collected on an up to the minute basis and key decisions are made based on a company being able to read and respond to the data.Top five Popular Agile Program Advancement MethodsAgile database upgrading is viewed as a tactic towards program improvement whereby necessities along with the remedies develop. This headway is generally achieved through a joint effort of combined effect displayed by the players together with their customers.Apply for a Mozilla FellowshipMozilla just opened its call for 2019-2020 fellows -- opportunities for developers, activists, researchers, and tech policy experts who are creating more responsible AI.During their 10-month tenure, Mozilla fellows design products, run campaigns, and influence policy around the theme of “better machine decision making.” Fellows might research how disinformation spreads on Facebook. Or, build a tool that identifies blind spots in algorithms that detect cancer. Or, advocate for a “digital bill of rights” that protects individuals from invasive facial recognition technology.Fellows receive competitive funding + benefits, like supplements for healthcare and childcare, and a travel stipend.Moving from Cassandra to Scylla via Apache Spark: The Scylla MigratorScylla writes about the data migration tool that they've built for migrating data from Apache Cassandra to their DB. The tool has some interesting properties, such as the ability to resume from a checkpoint, preservation of TTL and modification time, and support for simple transformations.SERVERLESS DATA INGESTION INTO BIGQUERYA tutorial for using a Google Cloud Function to load data via Google Cloud Storage into BigQuery. The post covers configuring permissions, managing API key secrets (for capturing data from a 3rd party system), and deployment.Free eBook on how technologies like AI/ML and a customer-centric approach can help optimize collectionsTechnologies like AI can lead to a more cohesive, customer-centric collections process for building loyal customers and increasing productivity. Adoption of AI coupled with strategic changes can optimize collections.Data Science Is Now Bigger Than 'Big Data'In a world in which “big data” and “data science” seem to adorn every technology-related news article and social media post, have the terms finally reached public interest saturation?How and why to use blob storage in AzureWhen it comes to building applications on the public cloud, you’re spoiled for storage. You’ve got SQL, NoSQL, graph databases, document databases, and even good old-fashioned file systems.6 Machine Learning as a Service Tools for Data AnalyticsMachine-learning-as-a-service (MLaaS) tools for data analytics could increase the accuracy and efficiency of your research in the data science realm without requiring substantial upfront costs from on-site equipment. That’s because MLaaS options exist in the cloudHow Big Data Tech Is Changing the Way We FarmLike many other major industries, the farming sector has been substantially influenced by technology. Let’s specifically look at how big data contributes to changes in farming methods.     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