Data Transparency Related Topics 
Data Science Blog: Data Engineering
SEPTEMBER 24, 2021
Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers.
Snowflake
MAY 3, 2023
And with the Snowflake Marketplace, companies can enhance customer and competitive insights with seamless access to ready-to-query data. Cybersyn aims to solve issues of data quality by offering both free public and unique proprietary data sets via the Snowflake Marketplace.
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Engineering at Meta
FEBRUARY 4, 2025
We created data logs as a solution to provide users who want more granular information with access to data stored in Hive. In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand.
Zalando Engineering
JULY 25, 2018
After making the data transparent, we now use a dedicated role (the Channel Manager) to dispatch tickets three times a day. Before the change, all tickets went into a big bucket and teams looked for their topic based upon keywords.
Grouparoo
DECEMBER 7, 2021
Data tokenization techniques allow the storage of critical data in secure locations while data warehouses store a token that points to the secure copy. This enables the application of security controls and protection techniques to a subset of data, transparent to processes accessing the data warehouse.
Knowledge Hut
JULY 21, 2023
By visually representing data, charts enable stakeholders to identify trends, compare different variables, and evaluate performance, allowing for data-driven decision-making and strategic planning.
Knowledge Hut
NOVEMBER 16, 2023
Data Engineer While a data scientist focuses on analyzing data, a data scientist helps collate all the facts and figures in the first place. Thus, data engineering can be regarded as the primary step for data analysis.
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