Data Observability + FinOps for Snowflake Engineers

Snowflake data engineers are under enormous pressure to deliver results. This data sheet provides more context about the challenges data engineers face and how Unravel helps them address these challenges. Specifically, it discusses: With Unravel, Snowflake data engineers can speed data pipeline development and analytics initiatives with granular and real-time cost visibility, predictive, predictive spend forecasting, and performance insights for their data cloud.

Delimited File Source in Astera Data Stack

In this video, we will be discussing how you can extract data from a delimited file using the Delimited File Source object in Astera. Delimited files are one of the most commonly used data formats and use specific characters or delimiters to separate records and indicate the structure of the table in which the data resides. Contents of the video.

XML JSON File Source in Astera Data Stack

In this video, we will be discussing how you can extract data from an XML JSON File Source using the XML JSON File Source object in Astera. XML JSON file source in Astera provides a high-speed reader for XML or JSON files in which the data is stored in a hierarchical format within several nodes and sub nodes. Contents of the video: Configure the object properties, including File Path, Schema Location, and other options. Generate XML Schema. Customizing XML Layout and Config Parameters. XML data preview.

Database Table Source in Astera Data Stack

In this video, we will see how a Database Table Source object works in Astera. The Database Table Source object is used to retrieve data from a database table. It offers incremental reads via change data capture, supports multi-way partitioning for enhanced performance, and allows customization with WHERE clauses and sorting options.

From Reporting to Decision Science: Inside HP with Juergen

You’ve heard the term data science, but have you heard about decision science? Juergen Kallinger, VP of Data and Insights at HP, shares valuable insights and reflections from his 22-year journey at HP. In this episode, Juergen dives into HP’s pivotal shift from solely reporting, to the dynamic realm of decision science and how it’s aligned their data team.

Confluent's Customer Zero: Building a Real-Time Alerting System With Confluent Cloud and Slack

We talk a lot about how customers can use Confluent as the data backbone for event streaming applications and enable a new class of event-driven microservices by completely decoupling services from one another. With Confluent, organizations can rapidly build and deploy business applications with greater flexibility, support larger scale, and be more responsive to customer demands. But we don’t just talk about it, we do it ourselves as Confluent’s “Customer Zero”!

How To Build Scalable and Resilient Microservices | Microservices 101

Building scalable and resilient microservices requires an approach that eliminates the need to treat them as special. They should be treated as easily replaceable building blocks. This means eliminating bottlenecks and single points of failure but it can also mean changing from a pull-based approach to a push-based approach. CHAPTERS.

Yellowfin BI Celebrates 20 Years of Embedded Analytics Innovation

AUSTIN, TEXAS, USA, January 25, 2024 - Yellowfin, a leading global provider of business intelligence (BI) and data analytics software, is proud to celebrate 20 years of innovation in the business intelligence (BI) and data analytics industry. Founded in 2004 with a mission to make data accessible and actionable for everyone, Yellowfin has grown into a global force, empowering businesses of all sizes to unlock the power of data and gain a competitive edge.