Tag: query

Feed: Recent Announcements. You can now use Amazon Elasticsearch Service as a target data store with AWS Glue Elastic Views. Now in limited preview, AWS Glue Elastic Views is a new capability of AWS Glue that makes it easy to combine and replicate data across multiple data stores without you having to write custom code. With AWS Glue Elastic Views, you can use familiar Structured Query Language (SQL) to quickly create a virtual table—called a view—from multiple different source data stores. Based on this view, AWS Glue Elastic Views copies data from each source data store and creates a replica—called ... Read More

Feed: R-bloggers. Author: tomaztsql. [This article was first published on R – TomazTsql, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Azure Databricks is a data analytics platform (PaaS), specially optimised for Microsoft Azure cloud platform. Databricks is an enterprise-grade platform service that is unified for data lake architecture for large analytical operations. Azure Databricks combines: large scale data processing for batch loads and streaming datasimplifies and accelerates collaborative work among data scientists, ... Read More

Feed: Planet MySQL; Author: Oracle MySQL Group; This blog includes: Keynote video highlights, link to full keynote, product demo, testimonial, upcoming MySQL Database Service and Analytics Engine webinars, and more. Today the MySQL team introduces the MySQL Database Service with the MySQL Analytics Engine. 1. Watch the keynote highlights:   2. See the MySQL Database Service in action in a short product demo.    3. Learn about the great savings over competitive solutions such as Amazon Aurora, RDS, or Redshift.    4. Discover how the MySQL Analytics Engine accelerates MySQL queries by 400x. 5. Check out the benchmarks: MySQL Database Service with Analytics Engine ... Read More

Feed: AWS Big Data Blog. When deploying data lakes on AWS, you can use multiple AWS accounts to better separate different projects or lines of business. In this post, we see how the AWS Lake Formation cross-account capabilities simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control to the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) locations. Use case Keeping each business unit’s resources as compute and storage in its own AWS account allows for easier cost allocation and permissions governance. In the other hand, centralizing your ... Read More

Feed: Planet MySQL; Author: Oracle MySQL Group;   Introduction MySQL is the most popular open-source database and many organizations choose MySQL to store their valuable enterprise data. MySQL is optimized for OLTP, but it is not designed for analytic processing. As a result, organizations which need to efficiently run analytics on data stored in MySQL database move their data to another database to run analytic applications. This approach of moving data to another database introduces complexity and additional cost for customers in multiple ways: Applications need to define complex logic for extracting relevant data from MySQL. The extracted data needs ... Read More

Feed: James Serra's Blog. Author: James Serra. I will be speaking at two upcoming PASS SQLSaturday’s. These are free events that you can attend virtually: Azure Synapse Analytics: A Data Lakehouse 12/5/20, 1:10pm EST, PASS SQL Saturday Atlanta BI (info) (slides) Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ... Read More

Feed: Alation. Author: Kiran Narsu. Kiran Narsu Alation, AWS, cloud, cloud architectures, data catalog, enterprise data catalog December 2, 2020 — Alation Helps Users Navigate Hybrid Cloud Architecture Today, Alation announced having achieved AWS Advanced Technology Partner status and is now available in AWS Marketplace. Our many joint customers have been using Alation with Amazon Web Services, including Amazon Redshift, EMR, S3, Glue, RDS, and Athena, to enable data search & discovery, run powerful queries, more efficiently migrate to a hybrid cloud, and ensure data governance. Welcome to the Hybrid Cloud Enterprises adopt AWS to have the best of both ... Read More

Feed: Redis Labs. Author: Martin Forstner. Back in 2019, I wrote about how to create an event store in Redis. I explained that Redis Streams are a good fit for an event store, because they let you store events in an immutable append-only mechanism like a transaction log. Now, with an update of the sample OrderShop application introduced in that blog, I’m going to demonstrate how to use Redis as a message queue, further demonstrating Redis Enterprise’s many use cases beyond caching. A quick look at microservices, infrastructure services, and distributed systems Redis is a great solution for creating infrastructure ... Read More

Feed: Planet PostgreSQL. Real time, fast update of materialized views  In  this blog entry I have introduced the ongoing project: Incremental View Maintenance (IVM), which allows to real time, fast update of materialized views. Since the bolg, IVM now can handle outer joins and self joins. The out come of the project is in public in a form of set of patches against git master branch of PostgreSQL. Also a GitHub repository for this project is in public as well.Docker image for IVMSo skilled PostgreSQL developers can test IVM today. However it's not that easy for people who do not ... Read More

Feed: Planet PostgreSQL. Big data has an unfortunate tendency to get messy. A few years in, a growing database that use to be small, lean, and well-designed, has better odds than not of becoming something large, bloated, and with best practices tossed aside and now considered unsalvageable.There’s a few common reasons that this happens, some better than others: Technological limitation: The underlying tech doesn’t support the scale. Say transactions or referential integrity across partitions in a sharded system. Stability: Certain operations come to be considered too risky. e.g. Batch update operations that have unpredictable performance properties. Cost/effort: Doing things the ... Read More