Keeping up to date on developments in the data sciences is hard. Here are a few items you may have missed:
Best Data Visualization Tools for 2020 Reviewed
- Author: Matt Shealy
- Source: https://readwrite.com/2019/11/21/best-data-visualization-tools-for-2020-reviewed/
- When to use this: Reviewing and making recommendations for new tool investments.
- Why it's helpful: Comparison on 4 key points: Interactive data visualization features, real-time updates, designed for technical and non-technical users, and trend analysis and predictive analytics.
- Suggested application: Share with purchasing and key stakeholders to get buy in and budget support, resource for IT departments to pre-validate solutions with your existing technology stack.
- Business impact or insights to be gained: To promote a data culture, you need people throughout the organization using the data. Having visualization tools which both technical and non-technical stakeholders can leverage will support ongoing data and digital transformations.
How Cloud Migration Has Transformed Data Analytics (VIDEO)
- Author: Joyce Wells
- Source: http://www.dbta.com/Editorial/News-Flashes/How-Cloud-Migration-Has-Transformed-Data-Analytics-VIDEO-132461.aspx
- When to use this: When you need to reference where your organization stands in the marketplace in regards to on-premise vs cloud migration vs cloud native database management.
- Why it's helpful: Statistics of industry current status and trends.
- Suggested application: Level setting of where your organization is and support for making changes.
- Business impact or insights to be gained: This brief video and transcript summarizes current state and real-life status of organizations which are moving to the cloud, and their priorities with those changes. This can be helpful when building your recommendations and budget for future investments.
Lyft’s Cloud Native Machine Learning and Data Processing Platform, Now Open Sourced
- Source: https://flyte.org/
- How: GitHub with complete documentation.
- When to use this: "Flyte provides an end-to-end solution for developing, executing, and monitoring workflows reliably at scale."
- Why it's helpful: "Flyte handles all the overhead involved in executing complex workflows, including hardware provisioning, scheduling, data storage, and monitoring. This allows developers to focus solely on writing their workflow logic."
- Suggested application: Data Science, Pricing, Fraud, Driver Engagement, Locations, ETA, and Autonomous.
- Business impact or insights to be gained: Save time, money and management leveraging Lyft's proven infrastructure - hosted, multi-tenant, serverless, scalable, portable and reliable.
Don't forget to subscribe for more tips and tricks to stay on top of Data Science developments!