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Posts tagged columnar
Tag: columnar
Marco Slot: Citus Talk at CMU: Distributed PostgreSQL as an Extension
Feed: Planet PostgreSQL. Last month we released Citus 10 and we’ve received an overwhelming amount of positive feedback on the new columnar compression and single node Citus features, as well as the news that we’ve open sourced the shard rebalancer. The new and exciting Citus 10 features are bringing in lots of new users of Citus open source and the managed Hyperscale (Citus) option in Azure Database for PostgreSQL. And many of you are asking: “How exactly does Citus scale out Postgres?” How does Citus work? As it happens, I recently gave a talk as part of the Vaccination Database ... Read More
Easily ingest and analyze Google Analytics data with Upsolver and Amazon AppFlow

Feed: AWS Big Data Blog. This post is co-written by Mei Long at Upsolver. Software as a service (SaaS) based applications are in demand today, and customers have growing need for adopting many of them in their use cases. As adoption grows, extracting data within these various SaaS applications and running analytics across them gets complicated. Although there are several common use cases, in this post, we focus on a solution for easily ingesting, transforming, and analyzing Google Analytics data using Amazon AppFlow and Upsolver. We walk you through the architecture and detailed steps to ingest data from Google Analytics ... Read More
How 1Strategy simplified their spreadsheet ETL process using AWS Glue DataBrew

Feed: AWS Big Data Blog. This is a guest blog post by Pat Reilly and Gary Houk at 1Strategy. In their own words, “1Strategy is an APN Premier Consulting Partner focusing exclusively on AWS solutions. 1Strategy consultants help businesses architect, migrate, and optimize their workloads on AWS, creating scalable, cost-effective, secure, and reliable solutions. 1Strategy holds the AWS DevOps, Migration, Data & Analytics, and Machine Learning Competencies, and is a member of the AWS Well-Architected and the AWS Public Sector partner programs.” Accurately reporting hours billed to each customer is critical to 1Strategy’s business operations. Each consultant is responsible for keeping records up to date. To promote ... Read More
Migrate terabytes of data quickly from Google Cloud to Amazon S3 with AWS Glue Connector for Google BigQuery

Feed: AWS Big Data Blog. The cloud is often seen as advantageous for data lakes because of better security, faster time to deployment, better availability, more frequent feature and functionality updates, more elasticity, more geographic coverage, and costs linked to actual utilization. However, recent studies from Gartner and Harvard Business Review show multi-cloud and intercloud architectures are something leaders need to be prepared for as data management, governance, and integration become more complex. To make sure your data scientist has access to the right data to build their analytics processes, no matter where the data is stored, it’s imperative that ... Read More
Build a serverless tracking pixel solution in AWS

Feed: AWS Big Data Blog. Let’s describe the typical use case where a tracking pixel solution, also known as a web beacon, might help you: Analyzing web traffic is critical to understanding user behavior in order to improve their experience. Let’s think about a company—Example Company Hotels—that embeds a piece of HTML into a high-traffic, third-party website (example.HighTrafficWebsite.com) to have more visibility into how users interact with its products. Let’s assume that this fragment of code can’t make calls to the example.HighTrafficWebsite.com backend because it doesn’t want to incorporate delays on its website loading times. How could Example Company Hotels ... Read More
Onder Kalacı: Sharding Postgres on a single Citus node, how why & when
Feed: Planet PostgreSQL. One of the big new things in Citus 10 is that you can now shard Postgres on a single Citus node. So in addition to using the Citus extension to Postgres to scale out Postgres across a distributed cluster, you can now also: Try out Citus on a single node with just a few simple commands Shard Postgres on a single Citus node to be “scale-out-ready” Simplify CI/CD pipelines by testing with single-node Citus The Citus 10 release is chock full of new capabilities like columnar storage for Postgres, the open sourcing of the shard rebalancer, as ... Read More
Analyst Report: Oracle Cranks up the Heat in the MySQL Cloud Market
Feed: Planet MySQL; Author: Oracle MySQL Group; Bringing High Performance Analytics to MySQL ... Read More
Jeff Davis: Citus 10 brings columnar compression to Postgres
Feed: Planet PostgreSQL. Citus 10 is out! Check out the Citus 10 blog post for all the details. Citus is an open source extension to Postgres (not a fork) that enables scale-out, but offers other great features, too. See the Citus docs and the Citus github repo and README. This post will highlight Citus Columnar, one of the big new features in Citus 10. You can also take a look at the columnar documentation. Citus Columnar can be used with or without the scale-out features of Citus. Postgres typically stores data using the heap access method, which is row-based storage ... Read More
Marco Slot: Citus 10: Columnar for Postgres, rebalancer, single-node, & more
Feed: Planet PostgreSQL. Development on Citus first started around a decade ago and once a year we release a major new Citus open source version. We wanted to make number 10 something special, but I could not have imagined how truly spectacular this release would become. Citus 10 extends Postgres (12 and 13) with many new superpowers: Columnar storage for Postgres: Compress your PostgreSQL and Citus tables to reduce storage cost and speed up your analytical queries. Sharding on a single Citus node: Make your single-node Postgres server ready to scale out by sharding tables locally using Citus. Shard rebalancer ... Read More
Run usage analytics on Amazon QuickSight using AWS CloudTrail

Feed: AWS Big Data Blog. Amazon QuickSight is a cloud-native BI service that allows end users to create and publish dashboards in minutes, without provisioning any servers or requiring complex licensing. You can view these dashboards on the QuickSight product console or embed them into applications and websites. After you deploy a dashboard, it’s important to assess how they and other assets are being adopted, accessed, and used across various departments or customers. In this post, we use a QuickSight dashboard to present the following insights: Most viewed and accessed dashboards Most updated dashboards and analyses Most popular datasets Active ... Read More
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