Systems | Development | Analytics | API | Testing

Democratizing Data Apps - Snowflake to Acquire Streamlit

Over the past few years, we’ve seen incredible growth in the number of data apps being built on Snowflake, including large customer-facing apps from companies such as BlackRock, Instacart, Lacework, and others. We’re proud of the fact that our platform helps developers bring these applications to life faster, scale better, and provide more powerful insights to their users, whether they be employees, partners, or customers.

Manage the Demand of Stress Testing in Financial Services

Risk management is a highly dynamic discipline these days. Stress testing is a particular area that has become even more important throughout the pandemic. Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic.

Memory Optimizations for Analytic Queries in Cloudera Data Warehouse

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. For these users performance and concurrency are always top of mind.

Snowflake Announces Intent To Acquire Streamlit

Hear from Snowflake co-founder and President of Products Benoit Dageville and AdrienTreuille co-founder and CEO of Streamlit as they discuss what this strategic acquisition means to developers and data scientists. The two companies will join forces to unlock the unrealized potential of data by making it easier to build beautiful applications using tools they love with simplified data access and governance.

4 Types and 20 Examples of Survey Questions to Ask Your Customers and Improve Your App

You have dedicated tons of man-hours to building your product and strengthening your service. You are trying to ensure that your application is useful but, above all, that it succeeds at making users come back for more. But then, *gasp*, they don’t! Why? What went wrong? How can you get them to come back?

What is data integration (with 5 use cases)

Data integration is the data engineering process of combining data from disparate sources into a single unified view of the data. The process begins with data ingestion from different source systems. This includes data extraction from disparate sources, data transformations or cleaning, and loading the data into a single repository - anything from Excel data sets to Enterprise data stores.

Announcing the Unravel Winter Release

Today, we’re excited to announce the Unravel Winter Release ! This winter release introduces major enhancements and improvements across the platform, including comprehensive cost management for Databricks, support for Delta Lake on Databricks, data observability for Google BigQuery, interactive pre-check before installation and upgrade.