Systems | Development | Analytics | API | Testing

How Business Owners Can Use Data Integration to Their Advantage

The benefits of data integration for business owners include: From tiny startups to massive multinationals, nearly every company these days recognizes the power of big data. By efficiently processing and analyzing large amounts of data, organizations can streamline their business processes, gain a competitive advantage over their rivals, optimize the customer experience, and make smarter business decisions.

Introduction to Cloudera Edge Flow Manager

This video is a 101 introduction about Edge Flow Manager (EFM), the Cloudera Edge Management (CEM) solution for managing and monitoring Apache MiNiFi agents at scale. The video goes through all the different views of the user interface to demonstrate and explain all of the features for designing flows, publishing flows to the agents, execute remote commands, monitoring the agents, etc.

SaaS in 60 - Catalog Improvements

The Qlik Sense SaaS catalog can now include data that is stored in relational databases such as Oracle, SQL Server and Snowflake increasing data reuse, visibility and governance while expanding the types of content that data engineers and stewards can manage and distribute. It also simplifies data use as data consumers no longer need to setup data connections as they can simply browse for the data they need within the catalog.

Top six ways to use self-service analytics for pipeline management

Pipeline management is vital to the go-to-market strategy of any B2B business. A healthy pipeline is the closest you can get to a guarantee that you’ll make your targets by the end of the sales cycle. As the SVP of Business Operations at ThoughtSpot, I’m responsible for putting actionable insights into the hands of our sales and marketing functions to drive predictable pipeline growth.

Introducing Databricks Support: Operational AI for the Lakehouse

On the heels of announcing our $14.5M Series A and General Availability, we’re excited to be at the Data + AI Summit to unveil support for Continual on the Databricks Lakehouse. Increasingly, data and ML tool providers are embracing a data-centric approach to the ML workflow. The goal is to focus on what increasing drives ML – the data – compared to infrastructure, algorithms, or pipelines. At Continual we bet on data-centric AI from day one.