Go vs Python for data mining

Plus: Look at the top six Java frameworks for microservices and Cloud-native development, explore the 7 Rs of cloud migration strategy, and more. [DZone]( January 20, 2022 DZone Daily Picks Today, look at the top six Java frameworks for microservices and Cloud-native development, see whether Go is better than Python for data mining, and much more. [Pass or fail - the world relies on your code. Test smarter.]( [Start Now For Free >]( Daily Picks [Top 6 Java Frameworks for Microservices and Cloud-Native Development]( [Javin Paul Java Zone]( [Is Go Better Than Python For Data Mining?]( [Martin Ostrovsky Big Data Zone]( [What Are the 7 Rs of Cloud Migration Strategy?]( [Aishwarya Nayak Cloud Zone]( [Internet of Behavior (IoB): Is It the Future of Customer Experience?]( [Rodolfo Davis IoT Zone]( [Top 5 Incidents and Outages of 2021]( [Quentin Rousseau DevOps Zone]( [Digital Lending Is a New Trend in Fintech in Recent Years]( [Rahul Han Web Dev Zone]( New Downloads from DZone [REFCARD] [Data Pipeline Essentials]( Strategies for Successful Deployment and Collecting Analytical Insights: Modern data-driven applications are based on various data sources and complex data stacks that require well-designed frameworks to deliver operational efficiency and business insights. Data pipelines allow organizations to automate information extraction from distributed sources while consolidating data into high-performance storage for centralized access. In this Refcard, we delve into the fundamentals of a data pipeline and the problems it solves for modern enterprises, along with its benefits and challenges. [Free Download >]( [REFCARD] [Getting Started With Distributed SQL]( In recent years, NoSQL distributed databases have become common, as they are built from the ground up to be distributed. Yet they force difficult design choices such as choosing availability over consistency, data integrity, and ease of query to meet their applications’ need for scale. This Refcard serves as a reference to the key characteristics of distributed SQL databases, how functionality compares across vendors' offerings, and the criteria for designing a proof of concept. [Free Download >]( [REFCARD] [Getting Started With Observability for Distributed Systems]( Implementing a reliable observability strategy, and the proper tooling for your unique business requirements, gives your teams the data and insights needed to properly operate, manage, and optimize their entire distributed ecosystem. This Refcard covers the three pillars of observability — metrics, logs, and traces — and how they not only complement an organization's monitoring efforts but also work together to help profile, interpret, and optimize system-wide performance. [Free Download >]( [ON-DEMAND WEBINAR] [How to Operate an Enterprise Scale Apache Kafka Cluster]( Operating an enterprise scale Apache Kafka cluster successfully requires extensive knowledge and expertise, which is in short supply in today’s market. Creating a cluster is difficult as is, but what about ongoing operations and maintenance? Rather than the increased risk in finding a talented team or doing it yourself, we’ll explore how Instaclustr’s platform simplifies all the complexities involved in the effective management and deployment of Kafka backed by industry-leading SLAs. [Free Download >]( [ON-DEMAND WEBINAR] [What is Kubernetes Security?]( According to the CNCF's annual survey, Kubernetes use in production has increased to 83%, up from 78% the year before. This suggests that K8s has become a lynchpin for the majority of container deployments. While this is great news overall, it may create some security headaches too. Many default settings leave sensitive resources far too accessible, or even downright vulnerable to attack. Watch to learn about the most common K8s security pitfalls to avoid, how to identify risks in your clusters and workloads (and what to do about them), and more! [Free Download >]( [NEW TREND REPORT] [Application Performance Management]( DZone’s 2021 APM Trend Report dives deeper into the management of application performance in distributed systems, including observability, intelligent monitoring, and rapid, automated remediation. It also provides an overview of how to choose an APM tool provider, common practices for self-healing, and how to manage pain points that distributed cloud-based architectures cause. Through research and thoughtfully curated articles, this report offers a current assessment of where real enterprises are in their journey to design APM approaches for modern architectures. [Free Download >]( [facebook]( [twitter]( [linkedin]( [youtube]( [Help](mailto:support@dzone.com) | [Manage Preferences]( DZone, 600 Park Offices Dr, Suite 300, Research Triangle Park, NC 27709 © DZone 2022