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Data Dictionaries: A Comprehensive Guide

Data dictionaries are an invaluable tool for any data-driven organization, but they can often seem like a complex and daunting task to build. Not only do you need to understand the definition of a data dictionary — you also have to know its components, benefits and how to create one. In this article, we'll cover everything about data dictionaries — from beginning to end — so that you'll have a good foundation of what a data dictionary is for. Read on for a detailed guide!


Gain visibility into your Cloudera clusters with Datadog

Cloudera Data Platform (CDP) is a data analytics and management platform that enables users to centralize, visualize, and govern their data. While users may be accustomed to data analytics solutions that are completely siloed and difficult to scale, CDP is designed to be flexible, giving customers the ability to integrate with open source technologies and deploy in a hybrid, cloud-native, or multi-cloud environment.


Two Methods for Connecting to InfluxDB 3.0

InfluxDB 3.0 has 10x better storage compression and performance, supports unlimited cardinality data, and delivers lightning-fast SQL queries compared to previous versions. These gains are the result of our new database engine built on top of Apache Arrow. Apache Arrow processes huge amounts of columnar data and provides a wide set of tools to operate effectively on that data.


Unleash the power of Elastic and Amazon Kinesis Data Firehose to enhance observability and data analytics

As more organizations leverage the Amazon Web Services (AWS) cloud platform and services to drive operational efficiency and bring products to market, managing logs becomes a critical component of maintaining visibility and safeguarding multi-account AWS environments. Traditionally, logs are stored in Amazon Simple Storage Service (Amazon S3) and then shipped to an external monitoring and analysis solution for further processing.


Elastic Enterprise Search 8.8: Easy AI-powered search for your enterprise

Elastic Enterprise Search 8.8 seamlessly bundles new Elastic developed semantic search capabilities with an expanding catalog of open code database and storage connectors. Additionally this release adds rich capabilities to measure and simplify adding features to your search application. These new capabilities allow customers to: Elastic Enterprise Search 8.8 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release.


How to monitor Snowflake with Grafana Cloud

Snowflake is a cloud-based data warehousing platform that allows organizations to store, manage, and analyze large amounts of data. It offers a scalable, secure, and highly available solution that separates storage and computing resources. We already offer the Snowflake datasource plugin, which allows you to query and visualize data from your Snowflake Data Cloud on your Grafana dashboards.


Exponential Smoothing: A Beginner's Guide to Getting Started

Exponential smoothing is a time series forecasting method that uses an exponentially weighted average of past observations to predict future values. This method assigns more weight to recent observations and less to older observations, allowing the forecast to adapt to changing trends in the data. The resulting forecast is a smoothed version of the original time series less affected by random fluctuations or noise in the data.


Snowflake Vs. AWS Vs. Azure: Which Should You Use?

Millions of organizations, across every industry, use data to improve strategies, products, and services. Yet, there are bucketloads of cloud data platforms on the market. Picking the right one for your needs can be a challenge. This in-depth comparison guide will help you decide between the data clouds that Snowflake, AWS, and Azure offer.

Maximize cloud efficiency: how to cut costs and keep uptime strong

As you move more of your workloads to the cloud, cloud infrastructure costs can quickly become a significant expense. To efficiently and successfully run your applications in the cloud, it’s crucial to take a look at your overall TCO (Total Cost of Ownership) from multiple lenses. In this fireside chat, Mike Zimberg, CTO at Digital Asset Research shares how they achieved a 99.99% uptime, while lowering their managed Apache Kafka® costs by 10% and improving their performance by 10x. Heikki Nousiainen, Aiven’s field CTO and co-founder, shares his expertise in the discussion as well.