How to use modular architecture and pre-built connectors to enable chatbots, code generation and more.
Learn how to create and measure the performance of clustered tables and materialized views using BigQuery.
A good command line interface is essential for developer productivity. If you look at any of the major cloud providers, they all have a robust CLI API that enables you to achieve high productivity. The key benefits of a CLI include: Confluent offers a powerful CLI that lets you quickly create and manage Apache Kafka® clusters and Apache Flink® compute pools and all associated operations with both.
Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.
A new BigQuery view that leverages the recent FOCUS specification to help simplify cloud cost management across clouds.
Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.
Generative AI is a powerful tool for rapidly creating and iterating on content of all kinds.
The sheer breadth of data that telecommunications providers collect day-to-day is a huge advantage for the industry. Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry. The speed with which generative AI will change how we work, live, communicate and entertain ourselves is nearly unfathomable.
Are you a ThoughtSpot enthusiast? Maybe you built a liveboard that saved your department hours each work week, or perhaps you figured out a unique way to gamify adoption across your team. You put in the hard work, now it’s time to show it off. ThoughtSpot User Groups were designed to help users connect—a place where you can share stories and get new ideas to empower your organization with data.
If 2023 was the year we woke up to how generative AI would change our world, 2024 is the year we realize the change. The real-time AI-driven enterprise may not be pixel-perfect yet, but we’re well on the way. Gen AI has a knock-on effect on all the trends and challenges we will see in 2024. Here’s our take.
In the final month of 2023, Snowflake released features around Snowflake Cortex functions, Snowpark ML, cost management and more. Read on to learn more about everything we announced in December.
Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.
BigQuery ML’s approach to feature engineering, modularity, allows for easy reuse of feature pipelines within BigQuery, and portability to Vertex AI.
Mixpanel Warehouse Connectors is integrated with BigQuery, providing a view into shared product and marketing efforts.
Released in December 2022, OAuth support on Confluent Cloud allows Confluent Cloud users to integrate their own third-party identity provider (IdP) with Confluent Cloud, centralizing account management across all of their cloud services. This article explains how to configure Azure Active Directory DS (Azure AD DS) and Confluent Cloud so that the Azure Directory can be used to authenticate and authorize applications to use Confluent Cloud clusters.
Learn how you can reduce your compute analysis costs using the new BigQuery editions and billing model.
BigQuery makes it easy for you to gain insights from your data, regardless of its scale, size or location. BigQuery Data Transfer Service (DTS) is a fully managed service that automates the loading of data into BigQuery from a variety of sources. DTS supports a wide range of data sources, including first party data sources from the Google Marketing Platform (GMP) such as Google Ads, DV360 and SA360 etc. as well as cloud storage providers such as Google Cloud Storage, Amazon S3 and Microsoft Azure.
Snowflake account managers need their fingers on the pulse of which workload shifts or performance optimizations could improve customer experience. Yet without an all-encompassing view of their customers, sales teams have to piece together customers’ wants and needs through duplicate CRM accounts and various BI tools and dashboards.
In the era of data advancement, current organizations are looking forward to innovative ways to utilize the potential of their data. Considering these scenarios, Oracle has developed a powerful tool, Oracle Fusion Analytics Warehouse, which has emerged as a game changer for many organizations looking to uncover their data’s capability in an easy and accessible manner.
At Current 2023, we announced that Confluent Cloud is now up to 10x faster than Apache Kafka®, thanks to Kora, The Cloud-Native Kafka engine that powers Confluent Cloud. In this blog post, we will cover what that means in more depth.
Third-party cookies have long been the backbone of online advertising, providing valuable insights into user behavior and enabling targeted, personalized campaigns. However, privacy concerns and evolving regulations have led major browsers like Safari and Firefox to limit or eliminate third-party cookie tracking. The next major milestone is upon us as Google is now testing a cookieless experience for 1% of randomly assigned Chrome users.
Learn how the world's leading language services provider leverages Fivetran to offer its customers real-time, data-dependent services.
In today’s dynamic business landscape, numerous organizations are transitioning to the Snowflake Data Cloud, seeking more agile, secure and efficient solutions to manage and activate customer data. Yet, the timelines and engineering resources needed to support implementation haven’t always kept pace with the increased market demand, impeding innovation.
As data leaders embark on their data strategy in the new year, data centralization is integral to demonstrate value.
As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.
With the integration of BigQuery and Document AI, you can extract insights from document data and build new large language model (LLM) applications.
Vertex AI transcription models in BigQuery let you transcribe speech files and combine them with structured data to build analytics and AI use cases.
Effective management of Redshift costs is closely tied to data storage optimization. Choosing the right data types and implementing data compression are pivotal in reducing storage footprints and costs. Redshift’s columnar storage format enhances query performance, which in turn can lead to significant savings. For a more comprehensive approach, integrating tools like Anodot can provide advanced analytics and real-time visibility to further streamline storage efficiency and optimize costs.
Your company collects huge amounts of data about everything from customer transactions to supplier contracts to system performance. This valuable resource becomes even more valuable when you combine it with data about financial market and economic trends, consumer spending, regional demographics and other elements that provide broader context and insights for your business decisions.
How generative AI brings radical new capabilities to the world of AI and machine learning.
The foundation of any successful AI initiative is a well-integrated and meticulously managed data platform.
