Analytics

Dataform, now GA, lets data engineers build SQL pipelines in BigQuery while following best practices like Git, CI/CD, and code lifecycle management.

A flexible, automated analytic workflow tool that integrates with BigQueryML allows no-code forecasting and model training.

Choosing the right data integration tool is crucial for businesses that want to streamline their data workflows, automate processes, and make better data-driven decisions. Two popular ETL tools on the market are Airbyte and Integrate.io, each offering unique features and functionalities catering to different data management use cases.

Increased costs and wasted resources are on the rise as software systems have moved from monolithic applications to distributed, service-oriented architectures. As a result, over the past few years, interest in observability has seen a marked rise. Observability, borrowed from its control theory context, has found a real sweet spot for organizations looking to answer the question “why,” that monitoring alone is unable to answer.

Today’s governmental and educational organizations can’t fully use the wealth of data they possess to improve citizen and student outcomes. Government agencies often deal with disparate and siloed data that can impact real-time decision-making. Securely exchanging information and collaborating on data remains an essential task in almost every agency strategy.

When approaching machine learning operations, the options can be overwhelming. There may be multiple solutions available for each step in the process, and the most popular (usually open source tools) may not necessarily be good or easy to use, but they are free.

Can you put a number to how much bad data is costing your business? This includes everything from marketing losing 21 cents of every advertising dollar due to misinformed business decisions to data engineers wasting more than 3h daily resolving data quality issues. Luckily, you can guarantee high-quality data with 9 simple checks. In this article, we’ll look at.

Achieving seamless alignment between business objectives and IT strategies can be a formidable challenge in today's rapidly evolving business landscape. Yet, without this business-IT alignment, companies can’t fully leverage technology as a driving force for growth and innovation.

When it comes to data, state of the art is an ever-moving target. There’s also a lot of hype around “cutting edge” that isn’t always grounded in reality. At Snowflake, we’re able to see how cutting-edge companies are actually working with data on our platform.