The query execution graph provides performance insights to help you easily understand, troubleshoot and optimize your BigQuery analytics queries.

BigQuery query queues introduces a dynamic concurrency limit and enables queueing based on available slot capacity and how many queries are running.

Have you heard the phrase “AI won't replace humans - but humans with AI will replace humans without AI”? I personally love this quote because it perfectly encapsulates the nature of the anticipated workforce shift from the rise of generative AI. As I wrote back in 2017, the power of AI is not about machines supplanting human abilities, but rather about a symbiotic relationship between humans and AI. I think the Star Trek analogy I used then is standing the test of time…

A new cross-cloud join feature in BigQuery Omni lets users to query data across clouds in a single SQL statement.

As data ecosystems evolve security becomes a paramount concern, especially within the realm of private cloud environments. Cloudera on Private Cloud with the Private Cloud Base (CDP PvC Base) stands as a beacon of innovation in the realm of data security, offering a holistic suite of features that work in concert to safeguard sensitive information.

At Snowflake, we are dedicated to helping our customers effectively mobilize their data while upholding stringent standards for compliance and data governance. We understand the importance of quick and proactive identification of objects requiring governance, as well as the implementation of protective measures using tags and policies.

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle. As lakehouse architectures (including offerings from Cloudera and IBM) become the norm for data processing and building AI applications, a robust streaming service becomes a critical building block for modern data architectures.

Enterprises are drowning in data. Structured, semi-structured or unstructured data for the modern, data-driven enterprise is everything, everywhere, all at once. But that’s also a challenge for enterprises looking to transform their data into usable information for business success. The sheer volume of data is challenging the ability of enterprises to find trustworthy, reliable data to drive their business decisions. Traditional data catalogs offer only structured data discovery.

AtScale enables Google Cloud users to build a single source of governed analytics to enable self-service business intelligence and data science programs.

How Windsor.ai, a Google Cloud Ready - BigQuery partner, helped Anything is Possible to build an automated pipeline into BigQuery.

With 11 new blockchains in the BigQuery public datasets program, the Web3 community gets a more comprehensive view of the crypto landscape.

Although it might seem a little early, I was just thinking: what will 2023 be remembered for? For many it will be the year that Beyonce and Taylor Swift took to stages around the world and pushed the boundaries of live music (I’m a confirmed Swiftie if you didn’t know). It is also the year of AI. When I speak with customers, they all talk about how they are steering towards AI adoption.

Bloomreach Engagement, an omnichannel marketing automation product, now integrates with BigQuery, providing hyper-personalized customer experiences.

Perhaps your C-suite is already a bit crowded. The typical hierarchy will include a CEO, COO, CFO, CTO, CMO, CIO, and a few more. Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO).

One of my favorite analogies is that data is the lifeblood of the business. Before you roll your eyes at me (I see it now), hear me out. At your annual physical, when you get your blood work done, think of how much information is uncovered about your overall health from a tiny vial of your blood. From those 10 CCs they extract comes back pages of information regarding your cell counts, glucose, cholesterol, and other information.

Generative AI is a powerful tool for accelerating the branding process for new products or compounds.

BigQuery’s new SQL capabilities deliver improved analytics flexibility, data quality and security.

The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day— that’s multiple thousands of terabytes!—there is the potential to understand, in great detail, how people, businesses, cities and ecosystems function.

As customers scale data warehousing in the cloud with BigQuery, cost optimization becomes crucial for scalable data storage in the cloud.

In the age of the AI revolution, where chatbots, generative AI, and large language models (LLMs) are taking the business world by storm, enterprises are fast realizing the need for strong data control and privacy to protect their confidential and commercially sensitive data, while still providing access to this data for context-specific AI insights.

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.

With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good information around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.

With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good data around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

CNA worked with Google Cloud and several third-party data vendors to develop a solution to address challenges with underwriting flood risk assessment.

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But in highly regulated industries where these technologies may be prohibited, the focus is less on off the shelf generative AI, and more on the relationship between their data and how AI can transform their business.

In today’s high-velocity digital arena, businesses are thrust into the whirlwind of global events, rapid technological advancements, and the incessant push for innovation. Yet, amidst the tempest of mergers, digital acceleration, and shifting tech paradigms, charting a confident path towards cloud migration can be daunting.

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Functions or procedures written by users in these languages are executed inside of Snowpark’s secure sandbox environment, which runs on the warehouse.

At Cloudera, we’re known for making innovative technological solutions that drive change and impact the world. Our mission is to make data and analytics easy and accessible to everyone. And that doesn’t end with our customer base. We also aim to provide equitable access to career opportunities within data and analytics to the workforce of tomorrow.

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

Enterprises are leveraging cloud investments to supercharge marketing efforts by building a Composable CDP with BigQuery and Hightouch.