Companies realize that in order to grow, connect products and services, or protect their business, they need to become data-driven. In selecting the tools to realize these goals, organizations effectively have two choices: a self-selected combination of analytics tools and applications or a unified platform that handles all. In this blog we will discuss the challenges of the former choice that will provide justification for the latter.
One thing nearly all such data providers have is a REST API. Snowflake’s recently announced external functions capability allows Snowflake accounts to call external APIs. By using external functions, data enrichment providers can fulfill requests for data from Snowflake Data Marketplace consumers.
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.
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.
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.
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.
