BDNW Issue - 19

#19 - Jan 14, 2020 Curated news, articles on Big Data,FinTech, Blockchain, IoT,AI

View email in your browser

Tips for Improving Your BI StrategyAs business intelligence software has been evolving, more companies need to figure out a strategy for incorporating these opportunities if they want to remain competitive and current with consumer trends.4 Key Components of an Enterprise Cybersecurity StrategyCybersecurity needs to be a major focus for any enterprise. We live in an age where it’s impossible to avoid the reality of online and network security threats. Fortunately, there are steps that can be taken to reduce risks. Here are four key components of an enterprise cybersecurity strategy.Top datasets to actualize machine learning and data training tutorialRecently, machine learning market has witnessed exceptional growth and it is estimated to reach $21 billion by 2024. The reason why every expert is quoting machine learning as the future of all businesses is because of its versatility.Microsoft power virtual agentsOne of the key announcements that caught our attention is the launch of Power Virtual Agents as a part of Microsoft’s citizen development vision of Power Platform.Building a Big Data Pipeline With Airflow, Spark and ZeppelinSetting up a Big Data pipeline that can efficiently scale with the size of your data is no longer a challenge since the main technologies within the Big Data ecosystem are all open-source.Understanding Kafka — A Distributed Streaming PlatformKafka is a new buzzword in the industry nowadays. Almost every leading tech company is using Kafka on its platform. But the question is what it is and why so much hype?Essential Math for Data ScienceMathematics is the bedrock of any contemporary discipline of science. Almost all the techniques of modern data science, including machine learning, have a deep mathematical underpinning.The Secret to Accurate Machine Learning Models is Data TransformationIndustry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are seeking ways to use advanced solutions to extract data, connect it and employ it for meaningful insights and learning.How H2O propels data scientists ahead of itselfH2O.ai engineers continually innovate and introduce new techniques by adopting latest research, working on cutting edge use cases, and participating in and winning machine learning competitions like Kaggle.Big Data ResourcesSome of the key resources and projects on the web to guide your Big Data strategy going into 2016. Below are the great number of interesting articles, tutorials, links, and resources on various Big Data technologies..     Courses       Data science courses to jumpstart your future  Popular online courses for data science include introductions to data science, data science in R, Python, SQL, and other programming languages, basic data mining techniques, and the use of data science in machine learning applications.    Become an Azure expert using real-life case studies  With internet-based computing, exchange of information has been facilitated with universal access of the computing resources also allowing enterprises to store and process huge data in data centers provided by third-party.  .          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