We're excited to announce that SQL Query now allows you to specify the format and layout in which a result for a SQL query is written. By adding these abilities we're opening up serverless data transforming in IBM Cloud Object Storage.
Whether they're JARs, libs, Gems, or modules, successful programming languages provide an ability to share and re-use code. IBM Cloud Functions is no different—it enables developer productivity through installable packages. But what makes a good package?
In this article, we're going to give you an introduction to getting set up with IBM Cloud SQL Query and using its UI. Then, we'll compose and run queries in a Jupyter Notebook on Watson Studio with the SQL Query Python library and PixieDust.
This is the first in a series of articles explaining the key highlights of the geospatial functions of IBM Cloud SQL Query. We will cover the Full Earth feature of the geospatial functions in this article—i.e., every topological and metric function operating on the Full Earth or the ellipsoidal Earth model.
In this third part of a four-part series on Operationalizing SQL Query, we'll bring together the microservices we deployed in Part 1 to query data in IBM Cloud Object Storage (COS) using the techniques we developed in Part 2 using IBM SQL Query with the goal of connecting our application's data to Business Intelligence (BI) tools.
Is your application's data a stream trickling into a puddle or a rising tide overwhelming the levees? Either way, IBM has you covered with tools to store, retrieve, query, and gain insights from data of any size.
This is the first in a three-part series on “Building microservice data lakes with IBM Cloud.” In this series we’ll explore how you can use IBM Cloud to deploy microservice applications, store data generated by those microservices in IBM Cloud Object Storage, and then query across that data using IBM Cloud SQL Query. Building an […]
The applications we build and the systems we run generate a massive amount of logging data ranging from alerting, monitoring, availability and performance. Analyzing logs, or log analytics, is a widespread practice to capture insights from mobile data, IoT devices, servers, websites and other sources. Most companies need programmatic access to this massive amount of […]