Systems | Development | Analytics | API | Testing

Bringing transaction support to Cloudera Operational Database

We’re excited to share that after adding ANSI SQL, secondary indices, star schema, and view capabilities to Cloudera’s Operational Database, we will be introducing distributed transaction support in the coming months. The ACID model of database design is one of the most important concepts in databases. ACID stands for atomicity, consistency, isolation, and durability. For a very long time, strict adherence to these four properties was required for a commercially successful database.

Hive vs. SQL: Which One Performs Data Analysis Better?

Key differences between Hive and SQL: Big data requires powerful tools. Successful organizations query, manage and analyze thousands of data sets from hundreds of data sources. This is where tools like Hive and SQL come in. Although very different, both query and program big data. But which tool is right for your organization? In this review, we compare Hive vs. SQL on features, prices, support, user scores, and more.

Fast & Curious: Find and Fix Slow Queries & API Requests

AppSignal was built because we were tired of slow and clumsy monitoring setups. Instead, we built monitoring that’s easy yet powerful - an intuitive interface enables you to figure out what’s happening in no time. Today, our team made finding slow events effortless. We’ve fully overhauled our slow events feature, helping developers to quickly find and fix slow queries and API requests.

Cloudera Operational Database Infrastructure Planning Considerations

In this blog post, let us take a look at how you can plan your infrastructure planning that you may have to do when deploying an operational database cluster on a CDP Private Cloud Base deployment. Note that you may have to do some planning assumptions when designing your initial infrastructure, and it must be flexible enough to scale up or down based on your future needs.

Databases Demystified Lesson 10: Query Planning and Optimization

In this lesson, we talk about what a query planner is and does in the database. We talk about the difference between declarative and imperative programming languages, and we wrap up with a discussion of some common strategies for database optimization to improve query speed.

Executing SQL Joins in REST APIs Using DreamFactory

As a follow up to our previous blog post about retrieving related data from that REST API, I wanted to dive deeper into the power of the “related records” feature of DreamFactory’s database-backed APIs. One of the powerful features of SQL databases is the ability to relate separate data records and perform queries that retrieve that related data all at once. One problem is that this requires a fairly in-depth knowledge of your database, it’s schema, and SQL syntax.

Find Where N+1 Database Queries Affect Your Application

One of the Scout’s key features is its ability to quickly highlight N+1 queries in your application that you might not have been aware of, and then show you the exact line of code that you need to look at in order to fix it. In this video, we will use a Ruby on Rails application as an example, but the same concepts apply to other popular web frameworks.

Episode 9: Introduction to Indexes

In this episode, we learn about a very important technique for making database queries faster: indexes! Indexes are a very powerful technique and are critical to understanding how databases work under the hood. In this lesson we talk about how database indexes make use of the binary search algorithm to speed up queries. We also cover the trade-offs associated with using database indexes, and why it might not be a good idea to use too many indexes.