Unlock the power of your audio data! This video demonstrates how BigQuery's integration with Cloud Speech-to-Text lets you transform audio files – think customer calls, interviews, feedback – into structured text transcripts. Analyze this data at scale within your data warehouse, fueling smarter decisions and deeper customer understanding.
In this edition of our series dedicated to spotlighting the movers and shakers in the tech world, we're thrilled to welcome Michael Muinos, an experienced Software Engineer currently residing at Google who is also the founder of Algos With Michael. Through this conversation, we aim to dive deep into the experiences that have defined Michael's career, alongside exploring the challenges and triumphs encountered, we will also share advice for aspiring software engineering professionals in this piece.
Turn your documents into actionable data! This video explores the power of BigQuery's integration with Document AI. Learn how to transform unstructured documents – think invoices, contracts, forms – into neatly structured tables within your data warehouse, unlocking smarter insights using familiar SQL syntax.
Hey there! We're back for our second edition of Tips and Tricks. As we said in our first post on Drizzle ORM, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today, we're going to talk about the template databases of PostgreSQL. Remember, these posts will be super short reads. If you don’t like the topic of one of the posts, no problem! Just skip it and check out the next one.
Test data is a critical component of software testing, referring to the input values, files, or other resources used to exercise a software application or system during testing. In other words, test data is the fuel that powers software testing, enabling teams to validate the functionality, performance, and security of a software product.
We have bundled the collective Cloudera support teams, implementation skill and experience into our Observability platform resulting in our framework called validations. This framework offers a clear and detailed view of potential issues within your Cloudera Environment enabling you to fix it internally. Based on years of Cloudera support experience, we identified over 400 and growing issues our customers have encountered frequently, and provide remedies. This framework also provides detailed information to provide to our support team should this issue require a more complex solution.
As Kafka evolves in your business, adopting best practices becomes a must. The GitOps methodology makes sure deployments match intended outcomes, anchored by a single source of truth. When integrating Apache Kafka with GitOps, many will think of Strimzi. Strimzi uses the Operator pattern for synchronization. This approach, whilst effective, primarily caters to Kubernetes-based Kafka resources (e.g. Topics). But this isn’t ideal.
The relentless push for business and digital transformation has put data at the forefront of organizational success. However, the ever-increasing volume and complexity of safeguarding data pose significant challenges. Building an unbreakable data infrastructure is a complex challenge. How do you know what’s good enough when building data infrastructure? This video explores a new approach to data protection and cyber resiliency in securing your most valuable asset.