Compare two company/organization names programmatically to see how similar they are.
Read More →Run match reports on and across Databricks data tables and datasets using the free Databricks Community Edition.
Read More →Run matching/duplicate data reports, identify inconsistent data, enrich data, and more within Databricks clusters and SQL warehouses.
Read More →While both training data and models are essential to successful AI, the paradigm emphasis is shifting.
Read More →Ensure the overall health, accuracy, reliability, and quality of your data assets.
Read More →APIs, interactive dataset processing, and connecting to Cloud databases for analysis are all available with Interzoid.
Read More →Quickly and easily match data, identify inconsistency, and eliminate redundancy on Snowflake's Cloud Data Platform.
Read More →This capability enables scheduled/ongoing processing, automated workflow, and data pipelines.
Read More →A data element analysis of data columns can help towards improving data consistency.
Read More →Quick walkthrough shows how easy identifying redundant data in the Cloud can be.
Read More →Enables fast and simple name scoring in Python.
Read More →This makes using in Golang incredibly fast and simple.
Read More →The complexities involved in matching individual or company/organization names can be considerably reduced.
Read More →How useful are business intelligence applications if the underlying data is suspect?
Read More →ELT is emerging as a preferred approach in the era of Cloud Databases versus traditional ETL. Here's why.
Read More →Using Machine Learning capabilities, an organization can significantly improve the quality, usability, and value of their important data assets.
Read More →Standardized, consistent data assets provide better analytics and data-driven results.
Read More →Any CSV file on the Web can be used as a data source.
Read More →Connect to various database platforms to quickly and easily run actionable match reports.
Read More →An overview of Cloud Relational Database Management offerings from AWS Amazon, and how Interzoid can help with improving the important data in each.
Read More →Leverage matching, standardization of inconsistent data, validation, appending and other features to improve the value of your strategic data assets within Microsoft's Azure SQL Database Platform - all from the browser.
Read More →Sample Use Cases for Interzoid's Cloud Data Connect offering, for Data Engineering in the Cloud with the top Cloud Data Platforms.
Read More →100% Cloud, browser-based application easily connects to and quickly generates live duplication/redundancy reports from data within major Cloud database platforms such as Snowflake, AWS RDS, and Google Cloud SQL.
Read More →We will use our proprietary cleansing, matching, and enrichment tools to increase the usability and value of your data assets.
Read More →Example Interzoid API integration code is provided in Javascript, Typescript, Node, Python, Go, Java, Ruby, Rust, C#, and PHP repositories.
Read More →Full, complete access now available and includes Premium Support. Take advantage of special launch pricing through October.
Read More →Sample Java code demonstrates how straight-forward it is.
Read More →Interzoid's API will be accessible for use on the blockchain
Read More →The free download bridges the gap between Cloud database platforms and APIs.
Read More →Use your RapidAPI Marketplace subscription directly within Interzoid Cloud Data Connect for automated company name matching within major Cloud database platforms.
Read More →Step-by-step walkthrough shows validating and enriching email addresses directly in PostgreSQL, adding geographics and email address type indicators.
Read More →Step-by-step walkthrough shows enriching global telephone numbers directly in PostgreSQL, adding geographics and demographics.
Read More →Step-by-step walkthrough shows populating a database in PostgreSQL, and then performing various matching and appending techniques to resolve the issue of inconsistent organization/company name data.
Read More →Step-by-step walkthrough shows populating a database on the Snowflake Data Cloud, and then performing various matching and appending techniques to resolve the issue of inconsistent organization/company name data.
Read More →Step-by-step walkthrough shows creating a database on Amazon's Aurora Serverless Database platform, and then performing various matching and appending techniques on the created data tables in a few simple steps.
Read More →Identifying inconsistent, redundant, and duplicate organization/company names with a CockroachCloud instance in only four steps.
Read More →Identifying inconsistent, redundant, and duplicate organization/company names within Snowflake in only four steps.
Read More →Sophisticated matching capabilities via API, database connectivity, and application connections.
Read More →Part Two of a two-part series on data virtualization and APIs
Read More →Part One of a two-part series on data virtualization and APIs
Read More →Measure performance from international locations.
Read More →Mobile applications are a great way to leverage data feeds via API.
Read More →Fine-tune the identification of duplicate, inconsistent organization names within or across datasets.
Read More →Automate collection of city, region, and country data for collected international phone numbers.
Read More →Leverage high volumes of fictional data to test performance of database applications.
Read More →AWS Cloudfront is one Edge Computing solution delivering significant performance gains through global caching networks. But how does one measure results?
Read More →Enables easy access to multiple Cloud capabilities and data sources via unified billing
Read More →Now it's easy to add weather to mobile applications using geolocation data from a mobile device.
Read More →Weather data can add weather-based customization and personalization to a broad class of applications.
Read More →Interzoid's collection of APIs are now integrated into the AWS Marketplace and available for use as part of solutions utilizing Amazon's Cloud infrastructure, including unified billing.
Read More →Much value can be obtained from merging multiple files of data to get clearer, more comprehensive pictures of prospects, customers, and business opportunities. However, matching data across tables or merging files can be a challenge if the data in those files is inconsistently represented.
Read More →The OpenAPI 3.0.3 specification was released late last week.
Read More →There were approximately 4.5 billion active Internet users around the globe in January 2020. Europe had more individual users on the Web than North America, with over 750,000 million. Asia eclipsed that with nearly 2 billion online. Is your site ready?
Read More →OpenAPI welcomes Interzoid as a new OpenAPI member!
Read More →Duplicate customer data involving individuals is usually caused by spelling variations, nicknames, data inconsistency, typos, and free-form data sources, causing the same individual to make multiple appearances at different places within corporate data assets.
Read More →No company has been built on a foundation of bad data assets. Here are some examples of inconsistent company data within databases and an API that can help.
Read More →Zip codes carve up the United States into more than 41,000 micromarkets. Using them for customer analytics and marketing segmentation can provide interesting insights, including identifying important markets, top buyer demographics, and optimizing the selection of growth markets
Read More →If you are doing any kind of international marketing or customer communication, language diversity is something to consider. Fortunately, Interzoid has an API for that.
Read More →Large news sites typically have global audiences, therefore, it's a good exercise to measure how Websites and specific Web pages perform from international locations. Accordingly, we thought we would test how several top global news organizations are performing with respect to page load time.
Read More →Interzoid now has documentation for 20+ APIs available on SmartBear's SwaggerHub platform in the OpenAPI 3.0 Specification format.
Read More →Data is inherently inconsistent, at least with respect to how it is stored electronically. These inconsistencies can make data very difficult to analyze. What can be done?
Read More →Service-level agreements can be quite complex. However, many involve straight-forward performance metric requirements that are agreed to by a customer and its service provider. But how do you enforce them on a global level?
Read More →The annual API World event and conference is occurring this week in San Jose, California in conjunction with the Microservices World event. It runs Tuesday through Thursday, October 8th-10th. Sixty exhibitors and over 3500 attendees are expected. Interzoid will be exhibiting.
Read More →Remote Procedures Calls (RPCs), Functions-as-a-Service, Web Services, Service-Oriented Architecture (SOA), APIs, and now Microservices are examples of tangential terms that have been part of our Web vernacular over the years. How do APIs and Microservices compare?
Read More →Name data can exist in many forms at the content level, making hard to match and analyze. This can substantially reduce the value and effectiveness of many data-oriented applications such as customer information systems, marketing systems, resource planning systems, accounting systems, and other business process-driven systems.
Read More →An international number by itself can provide a significant amount of useful information about the person or organization that the number connects to. This may be helpful as part of a marketing segmentation exercise.
Read More →Publishing data externally as a public API (Application Programming Interface) can pave the way to innovation with your partners and customers, leading to more business opportunities and business development.
Read More →In the case of keeping customer data assets accurate, complete, and valuable, an API approach and all the associated benefits of API-use proves they are an ideal weapon in the solution.
Read More →cUrl, which stands for "client URL", is a command-line utility for sending and receiving data, making it ideal to consume APIs from the command line without writing code. Here are several examples.
Read More →In this example, we will call Interzoid's Global Page Load API to measure performance from thirteen different physical locations around the globe. Then, when a certain measurement threshold is exceeded, we will use the Twilio SMS API to send an SMS alert notifying ourselves of the event.
Read More →Python, a powerful, highly extensive language is one of the fastest growing languages in use today. Many data science and machine language applications are harnessing its capabilities. Here is an example of how to consume an API within Python.
Read More →If you already have a RapidAPI account and want to start an integration immediately, or you would like to join millions of developers who utilize RapidAPI's rich set of API tools, Interzoid APIs are now available for use through the RapidAPI platform.
Read More →Go, also known as Golang, is a powerful, emerging language architected for distributed computing, especially for server-side scenarios in the Cloud. Here is a quick,easy code walkthrough for using Go to consume an API.
Read More →Email is still one of the top performing tools for marketers in 2019 and beyond. Not only is it budget-friendly and quick to launch campaigns with, but its reach is staggering. It is estimated that there are more than 250-300 billion emails sent around the world every day. Four billion email accounts exist globally, 25% of which are business or otherwise work-related accounts.
Read More →Company names can be inconsistently represented in a database, the permutations causing all kinds of reporting, searching, and matching problems. How can Interzoid's Similarity Keys via API help solve the problem?
Read More →Are you comfortable that your Web site page loading performance is as good globally as it is locally? Now you can easily measure it.
Read More →