Systems | Development | Analytics | API | Testing

What's New in ThoughtSpot - 10.5 Cloud Release

ThoughtSpot Analytics Cloud 10.5 is now available! Create custom charts and use third-party charting libraries to visualize your data in new ways. Enhance your searches with advanced Query Sets using new smart conditions and UI. Compare your most recent KPIs against any data point to access flexible performance analysis.

Unlocking Business Outcomes with Software-Defined Storage Solutions

Part 1 of a 3-part series IT teams are increasingly tasked with supporting the unprecedented growth in data across their organizations. Businesses are constantly seeking innovative solutions to manage their growing data needs efficiently and cost-effectively. Software-defined storage (SDS) is seen as a game-changer and competitive edge for many teams, offering unprecedented flexibility and scalability. Consider this: How many great ideas have been put on hold because your storage couldn't keep up?

It's 2025. What Does That Mean for Finance?

Welcome to 2025! We are now officially a quarter of the way through the 21st century – and isn’t that a crazy thing to wrap your head around? We’ve survived a lot in the last 25 years. The early 2000s saw the dotcom bubble, the Enron scandal, and passage of the SOX Act. By 2010 the world was deep in the Great Recession and working hard on recovery. More recently we suffered the Covid-19 pandemic and subsequent market instability.

6 Best Practices for Implementing Generative AI

Generative AI has rapidly transformed industries by enabling advanced automation, personalized experiences and groundbreaking innovations. However, implementing these powerful tools requires a production-first approach. This will maximize business value while mitigating risks. This guide outlines six best practices to ensure your generative AI initiatives are effective: valuable, scalable, compliant and future-proof.

New in Confluent Cloud: Extending Private Networking Across the Data Streaming Platform

As we step into the new year, it’s the perfect time to reflect on the exciting advancements Confluent made in 2024. Our Q4 launch wrapped up the year with a host of powerful features paving the way for even more innovation in 2025. This launch is all about delivering private networking and enhanced security across the data streaming platform.

Introducing One Million Minds + One Platform

AI and technology are reshaping the world we live and work in every day. It’s imperative that we equip people with the tools and skills they need to succeed in this rapidly changing landscape. In this video, Snowflake CEO Sridhar Ramaswamy announces a new company initiative to tackle the challenge. Called "One Million Minds + One Platform," its goal is to train and certify one million students and professionals in data and AI by 2029 and 100,000 users on the Snowflake AI Data Cloud by 2027.

What is Invoice Scanning? How it Works, Benefits, Applications

Invoice scanning is a crucial step in managing the accounts payable (AP) process for any business. You may think that invoice scanning is no longer required if invoices are received electronically. However, according to Bottomline’s The State of ePayables report, more than a staggering 48% of invoices are received in paper format. In other words, paper invoices are still very much a part of modern accounts payable, and so is invoice scanning.

ETL Database: A Comprehensive Guide for Data Professionals

In today’s data-driven world, businesses rely heavily on data for decision-making, analytics, and operational efficiency. The ETL database lies at the heart of these processes, playing a crucial role in extracting, transforming, and loading data from diverse sources into a centralized repository for analysis and reporting. This blog explores what an ETL database is, its importance, components, use cases, and best practices to maximize its efficiency.

SSIS vs Azure Data Factory: A Comprehensive Comparison

In the world of data integration and ELT/ ETL (Extract, Transform, Load), two tools often compared are SQL Server Integration Services (SSIS) and Azure Data Factory (ADF). Both are Microsoft offerings, but they cater to distinct use cases and audiences. If you're a data engineer exploring these data tools, this blog will provide a detailed comparison to help you make an informed decision.