Monte Carlo
JANUARY 3, 2024
This is a widely shared sentiment across many data leaders I speak to. If the data team has suddenly surfaced customer-facing, secure data, then they’re on the hook. Data governance is a massive consideration and it’s a high bar to clear. And, invest in a modern data stack. It’s 2024 now.
Monte Carlo
JULY 27, 2023
These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders. Ability to perform root cause analysis on defects.
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Data Engineering Podcast
NOVEMBER 12, 2023
Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers.
Monte Carlo
AUGUST 31, 2023
Data pipelines can handle both batch and streaming data, and at a high-level, the methods for measuring data quality for either type of asset are much the same. As data becomes not just an output but a financial commodity for many organizations, it’s important that this information can be trusted.
Lyft Engineering
OCTOBER 3, 2023
High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale.
Data Engineering Podcast
NOVEMBER 19, 2023
Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.
ProjectPro
FEBRUARY 21, 2023
GCP Data Engineer Certification The Google Cloud Certified Professional Data Engineer certification is ideal for data professionals whose jobs generally involve data governance, data handling, data processing, and performing a lot of feature engineering on data to prepare it for modeling.
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