Analytics

Gartner names Fivetran in the 2020 Gartner Magic Quadrant in the data integration tools category. Today, we’re proud to share that Fivetran has been recognized in the August 2020 Gartner Magic Quadrant for Data Integration Tools for the first time. The data integration market is rapidly evolving and expanding as organizations increasingly understand the value of analytics and the importance of data-backed decisions in driving business success.

Fivetran or Stitch for automated ELT? Learn the pros & cons of each platform. October 5, 2020 We commonly hear from our customers that when they initially evaluated cloud data integration solutions, both Fivetran and Stitch came up in their cursory searches. With the Stitch's announcement of their free plan deprecation, we’ve received an influx of questions on how the two solutions differ. Below, we highlight the differences in the approaches to handling automated ELT as well as pricing.

This is the second post in a series about data modeling and data governance in the cloud from Snowflake’s partners at erwin. See the first post here. As you move data from legacy systems to a cloud data platform, you need to ensure the quality and overall governance of that data. Until recently, data governance was primarily an IT role that involved cataloging data elements to support search and discovery.

In recent years, organizations have been making massive investments in data analytics to transform their growing volume of data into actionable insights to inform decision-making. However, the pursuit of becoming data-driven has uncovered challenges earlier in the data pipeline that are preventing companies from reaping all the benefits from their data.

Since 2013 the UK Government’s flagship ‘Cloud First’ policy has been at the forefront of enabling departments to shed their legacy IT architecture in order to meaningfully embrace digital transformation. The policy outlines that the cloud (and specifically, public cloud) be the default position for any new services; unless it can be demonstrated that other alternatives offer better value for money.

Software vendors often ask me when is the ideal time to swap out a legacy analytics solution that they’ve embedded into their application. There's five key signs that can tell you your embedded solution isn’t right anymore and it’s time to switch.

In August 2020, Snowflake announced several new features, all in preview, that make its cloud data platform easier to use, more powerful for sharing data, and more usable via Snowflake-supported languages. These innovations mean you can bring more workloads, more users, and more data to Snowflake, helping your organization solve your most demanding analytics challenges. Multi-Cloud, Cross-Cloud, and Pattern-Matching Support in Snowpipe

The Unravel 4.6.2.0 release, now generally available, builds on our previous 4.6 release with a new UI/UX, multi-cluster support, monitoring for ELK (Elasticsearch, Logstash, and Kibana), and a new installer that makes Unravel available in minutes.

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.