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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

Data is the fuel that drives government, enables transparency, and powers citizen services. For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. A simple example from a recent article in StateTech makes this case.

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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated.

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Data Engineering Weekly #110

Data Engineering Weekly

The article highlights the challenges of maintaining data models in a world where SQL data warehouses are no longer the primary data platform. The author discusses the need for richer metadata to support complex data lineage and evolving privacy requirements.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). In many cases the data stays in a data lake and is queried from there versus moving to the data warehouse.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

AltexSoft

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. Full REST API: easy access for third parties. Since the 2.0 Content for the latest, 2.4.2,

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Azure Data Engineer (DP-203) Certification Cost in 2023

Knowledge Hut

When you enroll in training courses, you will get access to video training resources where you may see lectures by business experts and learn the concepts in greater detail. You can browse the data lake files with the interactive training material. Then, you can create analytical layer serving designs.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.