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.

5 Embedded Analytics Pitfalls and How to Avoid Them

As the business world shifts towards an information economy, more companies are discovering the advantages of having a business intelligence (BI) solution for analytics. Embedded analytics software boosts an organization's main functionality by integrating BI tools and analytical capability directly into software applications, rather than as a separate third-party application.

Fraud Detection with Cloudera Stream Processing Part 1

In a previous blog of this series, Turning Streams Into Data Products, we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection.

Now in preview, BigQuery BI Engine Preferred Tables

Earlier in the quarter we had announced that BigQuery BI Engine support for all BI and custom applications was generally available. Today we are excited to announce the preview launch of Preferred Tables support in BigQuery BI Engine! BI Engine is an in-memory analysis service that helps customers get low latency performance for their queries across all BI tools that connect to BigQuery.

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.

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.