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Analytics

Iceberg Tables: Catalog Support Now Available

As announced at Snowflake Summit 2022, Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. As part of the latest Iceberg release, we’ve added catalog support to the Iceberg project to ensure that engines outside of Snowflake can interoperate with Iceberg Tables.

ThoughtSpot for Google Cloud Platform

ThoughtSpot is partnering with Google Cloud to expand self-service analytics capabilities beyond the dashboards! Now you can use AI-powered search to query Google BigQuery in real-time, access the Looker semantic layer to obtain reliable and standardized data models, and close the productivity loop with ThoughtSpot plugins for Google Sheets, Connected Sheets, and Slides.

Telecom Data Cloud | Snowflake For Telecommunications

Telecommunications companies are under pressure to adapt and respond to changing customer preferences, market conditions, and industry regulations. The Telecom Data Cloud enables telecoms to leverage the full potential of data to help deliver exceptional customer experiences, power new revenue streams, and accelerate transformation, while also enabling the highest levels of data security, governance, and compliance. Join Snowflake customers, partners, and data providers already driving revenue and competitive advantages in the Data Cloud.

5 engineering tools every analytics and data engineer needs to know

Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.

Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?

The open source ML tooling ecosystem has become vast in the last few years, with many tools both overlapping in their capabilities as well as complimenting each other nicely. In part because AI/ML is a still-immature practice, the messaging around what all these tools can accomplish can be quite vague. In this article, we’ll dive into three tools to better understand their capabilities, and how they fit into the ML lifecycle.

No Average Patient - Leveraging Data for Precision Healthcare

The evolution of healthcare has come a long way since local physicians made house calls and homespun remedies were formulated using items from the kitchen spice rack. Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs.

How Yellowfin Complements Tableau to Expand Analytics Use Cases

When it comes to analytics capability that caters to diverse data needs across the entire business, Yellowfin provides specific advantages compared to Tableau in several areas. Tableau users may find the platform can be complex, or lacking, in areas such as dashboard design, data governance, or flexibility. Thankfully, many have found Yellowfin to be a great alternative, and even complementary solution, to their analytic needs.

How Manufacturers Drive Profits with Connected Products

It’s been a decade since “connected” objects—commonly referred to as “the internet of things” (IoT)— reached broad audiences. Connected toothbrushes, sensors embedded in sneakers, and smart watches have started to change consumer behavior through a data-driven, gamified approach. Technology has rapidly evolved to handle large data volumes at high velocities and big data analytics. AI has become more democratized.

Setting up Google BigQuery as a data warehouse in minutes

In this tutorial, learn how to set up a new Google BigQuery cloud-based data warehouse account and extract data from all your data sources using Stitch in less than 3 minutes. Stitch partners with the most common data warehouses and data lakes to help move your data from sources like Shopify, MongoDB, LinkedIn Ads, Zapier, Hubspot, SendGrid, Google Analytics, and more. Google Analytics. Watch this step-by-step tutorial on how to set up Google BigQuery for data storage.