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Analytics

The Path of Most Resilience Chapter 3: Data and Analytics

If a company hopes to remain competitive in today's hyper-connected world, it must speak to individuals, not broad segments. Businesses must consider all types of data generated by their customers-contextual and real-time, structured and unstructured-to deliver relevant and precise results on the most appropriate channel and device.

Multi-Raft - Boost up write performance for Apache Hadoop-Ozone

Apache Hadoop-Ozone is a new-era object storage solution for Big Data platform. It is scalable with strong consistency. Ozone uses Raft protocol, implemented by Apache Ratis (Incubating), to achieve high availability in its distributed system. My team in Tencent started to introduce Ozone as a backend object storage in production a few months ago and we’re onboarding more and more data warehouse users.

Aceable Switches From Alooma to Fivetran, Eliminates ETL Maintenance

After Alooma announced it was sunsetting its services for Redshift customers, Aceable moved to Fivetran for data integration. In one week, the business integrated all of its sources, including MongoDB — a project that was never completed with Alooma. With Fivetran, Aceable eliminates the need for back-end maintenance and adds Jira to its stack to track project progress across the entire org.

The Rise Of Connected Manufacturing And How Data Is Driving Innovation, Part I

This interview was conducted by Cindy Maike, VP Industry Solutions The shift towards Industry 4.0 is improving manufacturing efficiency and the factory of the future will increasingly be driven by technology like the Internet of Things (IoT), Automation, Artificial Intelligence (AI), and Cloud Computing.

Speed Up Development With Powered by Fivetran

Powered by Fivetran (PBF) provides a simple framework for developers to go beyond internal analytics projects to build data pipelines into their applications within the Fivetran platform. With no engineering overhead, you can easily access hundreds of customer accounts across countless Fivetran-supported data sources, including advertising platforms, CRM systems, databases, web events and more.

Predictive Analytics: How to build machine learning models in 4 steps

Predictive analytics is a complex process that involves many steps and procedures—from collecting and preparing data to communicating findings through eye-catching dashboards. But there’s one stage that data scientists enjoy doing more than others: predictive modeling and algorithms. As an integral part of data science, modeling involves building a solution, mining the data for patterns, and refining algorithms.

MLRun Functions DEMO: Python Jupyter (Open-Source Data Science Orchestration + Experiment Tracking)

MLRun is a generic and convenient mechanism for #data scientists and software developers to build, run, and monitor #machinelearning (ML) tasks and pipelines on a scalable cluster while automatically tracking executed code, metadata, inputs, and outputs. On-Premise or Barebone/Metal - including Edge AI / Analytics Customers include NetApp, Quadient, Payoneer (and many more).