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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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Building a Scalable Search Architecture

Confluent

As the databases professor at my university used to say, it depends. 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.

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Why are database columns 191 characters?

Grouparoo

In this post, we’ll look at the historical reasons for the 191 character limit as a default in most relational databases. The first question you might ask is why limit the length of the strings you can store in a database at all? Why varchar and not text ? s fault 255 makes a lot more sense than 191. How did we get to 191?

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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. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment. Data storage options.

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Data Engineering Weekly #186

Data Engineering Weekly

[link] Murat: Understanding the Performance Implications of Storage-Disaggregated Databases The separation of storage and computing certainly brings a lot of flexibility in operating data stores. 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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RDBMS vs NoSQL: Key Differences and Similarities

Knowledge Hut

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. Come with me on this adventure to learn the main differences and parallels between two well-known database solutions, i.e., RDBMS vs NoSQL. What is RDBMS?

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