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Data Lakehouses: Everything You Need To Know

A data lakehouse is a modern data architecture. It is popular among many organizations that incorporate the features of both data lakes and data warehouses. The features of a data lakehouse make it ideal for a range of data analytics use cases. This article explains data lakehouses, including how they emerged, how they shape up versus data lakes and data warehouses, their architecture, and finally, the pros and cons of using a data lakehouse.


IoT Sensors: What They Are and How to Use Them

For a very long time, businesses in various industries have been using smart sensors. However, with the development of the Internet of Things (IoT), their significance has increased. Sensors represent the beginning of a data collection chain that, when processed by IoT platforms, generates essential insights for assertive decision-making and even for developing new business ideas. Generally, a smart sensor has three main components: This technology is already used in many countries.


Time Series Data, Cardinality, and InfluxDB

In the world of databases, cardinality refers to the number of unique sets of data stored in a database. If we drill down a little further, we can think of cardinality as the total number of unique values possible within a table column or database equivalent. When thinking about time series data, we can ask some specific questions about cardinality. What does cardinality look like in practice? When does cardinality become a problem? How do we prevent cardinality issues?


Using Deduplication for Eventually Consistent Transactions

Deduplication is an effective alternative to transactions for eventually consistent use cases of a distributed database. Here’s why. Building a distributed database is complicated and needs to consider many factors. Previously, I discussed two important techniques, sharding and partitioning, for gaining greater throughput and performance from databases.


Observability Data vs Data Observability: What's the Difference?

Fun fact: Observability goes all the way back to the 1960s, coined by scientist Rudolf Kálmán as a way to measure a system through its output. Now, over six decades later, observability has fragmented into several specialized segments — from application observability, to security observability, and everything in between. The two segments driving the most confusion are data observability and observability data.

Deploy PostgreSQL services to multiple clouds and regions using Terraform

In this video, you will learn how to deploy PostgreSQL services across different cloud providers and across geographies using Aiven Terraform Provider. You will also learn the benefits of using termination protection functionality to prevent accidental deletion of your cloud resources.

Data Modeling: Part 2 - Method for Time Series Databases

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge. Time is notorious in modeling tasks. Indeed, the temporal aspect exacerbates the complexity of the modeling task, making simple diagrams look pretty complex. The temporal dimension becomes particularly nasty when it takes part in identifying entities. The figure on the right visualizes the typical database example.


Why InfluxDB Cloud, Powered by IOx is a Big Deal to Me

From time to time throughout my career, I have been involved in projects with dramatic releases when we built and delivered something very new and very special. The release of InfluxDB Cloud, powered by IOx (referred to as “InfluxDB IOx” for short below) absolutely meets those criteria. I want to explain my personal views of why this release is so impactful and why I am so excited to be part of it.

How to build a scoped search and query correction suggestions with Elastic Enterprise Search

Learn the steps for building scoped search suggestions and Did you mean suggestions with Elastic Enterprise Search. This technical demo shows how to use search techniques like scoped search and query correction suggestions to help end-users find relevant results faster.