Systems | Development | Analytics | API | Testing

ThoughtSpot Launches New Editions for Individuals and Teams to Democratize the Modern Analytics Cloud

New edition enables companies of any size to take advantage of the Modern Analytics Cloud and build their business on data, paying only for what they use instead of shelfware licenses sold by traditional analytics vendors.

Using Snowpark As Part Of Your Machine Learning Workflow

Teams working on data science initiatives are tasked with deriving new insights from massive amounts of data. To accomplish this, teams work with compute environments that require heavy operational overhead, which means most of their time is spent extracting and processing features for machine learning model training and inference. Pairing Snowflake’s near-unlimited access to data and elastic processing engine with the most popular programming languages can change that, so more time can be spent on model development.

Why Drag and Drop Analytics are Important for Seamless BI Reporting

Drag and drop analytics are more interactive and user-friendly compared to traditional, high code business intelligence (BI) solutions. They allow users without programming experience to easily explore the data and don't require coding knowledge, with a drag and drop user interface to conveniently enhance functionality of any dashboard report. In this post, you will find the importance of drag and drop analytics for more seamless reporting and user experiences when analyzing business-critical data.

AT&T Connects the World in the Data Cloud

To be one of the most connected companies in the world, AT&T chose the Snowflake Data Cloud for their digital transformation and data democratization. With Snowflake, AT&T has a single source of truth of their data across the organization and through Snowflake data collaboration, AT&T's business partners can seamlessly access AT&T's data to improve their customer experience.

Forrester: How App Modernization is Speeding Cloud Deployment

Hitachi Vantara recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value that customers could achieve using cloud and application modernization services from Hitachi Vantara. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers at companies with experience using cloud and app modernization services from Hitachi Vantara.

Redefining File Services from Edge to Core to Cloud

The idea of running compute and storing data in the cloud is no longer a novel concept. With the evolution of 5G and Internet of Things (IoT), this brings along the next evolution of edge storage demands. Today, around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, Gartner predicts this figure will reach 75%.

The Missing Link in Your Power BI/ERP Data Chain

Business intelligence empowers businesses to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. In the Microsoft Dynamics ecosystem, Power BI generates easy-to-read visualizations that help stakeholders perform key analysis. But finance professionals can encounter roadblocks when seeking deeper analysis than their technical knowledge of Power BI permits.