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How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone

AWS Big Data

Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data. This led to reduced trust in the data. Furthermore, no process to discover new data existed. In the producer account, raw data is transformed using AWS Glue.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

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Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

format(dbname, table_name)) except Exception as ex: print(ex) failed_table = {"table_name": table_name, "Reason": ex} unprocessed_tables.append(failed_table) def get_table_key(host, port, username, password, dbname): jdbc_url = "jdbc:sqlserver://{0}:{1};databaseName={2}".format(host, To start the job, choose Run. format(dbname)).config("spark.sql.catalog.glue_catalog.catalog-impl",

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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). Consumer accounts : Used by data consumers to implement use cases insights and build applications tailored to their business needs.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO Business Intelligence

Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). Security, as ever, made a strong showing, with big premiums paid for experience in cryptography, penetration testing, risk analytics and assessment, and security testing.

Testing 98
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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.