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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

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Building a Scalable Search Architecture

Confluent

Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough. Building an indexing pipeline at scale with Kafka Connect.

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Every Company is Becoming a Software Company

Confluent

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

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Data Engineering Weekly #186

Data Engineering Weekly

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Another available schema — DataFrames — is used to organize information in the named columns, similar to tables in relational databases. Complex programming environment.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.