Cloudera
SEPTEMBER 15, 2022
A key area of focus for the symposium this year was the design and deployment of modern data platforms. The data products are packaged around the business needs and in support of the business use cases. This step requires curation, harmonization, and standardization from the raw data into the products.
Grouparoo
NOVEMBER 16, 2021
The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Another benefit is that this approach supports optimizing the data transforming processes all analytical processing evolves. Add geolocational information to support processing.
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Cloudera
NOVEMBER 2, 2020
correction of data for a transaction, Change Detection Capture (CDC), Slowly Changing Dimension (SCD) type 2 logic, reordering of late-arriving event data. Optimized access to both full fidelity raw data and aggregations. Optimized access to both current data and historical data.
Snowflake
AUGUST 9, 2023
In a recent webinar, Snowflake and Seek, a Snowflake Elite Partner, discussed how their customers are using data and insights to tackle these economic challenges. The Seek Insight Cloud is a cloud-native platform that helps organizations discover insights at scale through turnkey analytics applications.
Rockset
DECEMBER 9, 2019
This obviously introduces a number of problems for businesses who want to make sense of this data because it’s now arriving in a variety of formats and speeds. To solve this, businesses employ data lakes with staging areas for all new data. This simplifies the process and in turn makes it more flexible to change later on.
U-Next
JUNE 27, 2023
While working with more complex data, Excel allows users to adjust the fields and functions that perform computations. Excel has a variety of new tools, like the Pivot tables, that help improve analytical applications. Raw data is complex, and it can occasionally contain missing information.
Edureka
JULY 3, 2024
Companies are drowning in a sea of raw data. As data volumes explode across enterprises, the struggle to manage, integrate, and analyze it is getting real. Thankfully, with serverless data integration solutions like Azure Data Factory (ADF), data engineers can easily orchestrate, integrate, transform, and deliver data at scale.
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