Snowflake
MAY 23, 2024
Right now we’re focused on raw data quality and accuracy because it’s an issue at every organization and so important for any kind of analytics or day-to-day business operation that relies on data — and it’s especially critical to the accuracy of AI solutions, even though it’s often overlooked.
Workfall
SEPTEMBER 18, 2023
Empowering Data-Driven Decisions: Whether you run a small online store or oversee a multinational corporation, the insights hidden in your data are priceless. Airbyte ensures that you don’t miss out on those insights due to tangled data integration processes. Account for potential changes in data schemas and structures.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ProjectPro
FEBRUARY 8, 2023
But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.
Towards Data Science
MARCH 9, 2023
Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. link] Time to meet the MLLib.
Striim
SEPTEMBER 11, 2024
Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.
Cloud Academy
JANUARY 27, 2022
A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.
The Modern Data Company
MAY 8, 2023
The Data Lake: A Reservoir of Unstructured Potential A data lake is a centralized repository that stores vast amounts of raw data. It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs.
Expert insights. Personalized for you.
105 
Let's personalize your content