Four data infrastructure trends to look out for in 2023
Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics
The Snowflake Telecom Data Cloud
As Snowflake rolls out its new Telecom Data Cloud, “Data Cloud Now” host Ryan Green sits down with Phil Kippen, Global Head of Industry, Telecom, at Snowflake, to discuss what it all means for telecom service providers. During the interview, Kippen notes that the arrival of 5G creates new market opportunities but also new operational complexities for telecom service providers as they take on the task of rolling out new services and managing new infrastructure. He explains that the rollout of the Telecom Data Cloud will help companies achieve operational efficiencies by providing a single, unified platform across all domains and business functions within the telecom service provider environment and across all clouds. In addition, Snowflake will help service providers create a new marketplace that will enhance their ability to find new ways to monetize their data and applications and will help them work with partners across the telecom ecosystem to develop new opportunities for collaboration and data sharing.
Implementing and Using UDFs in Cloudera SQL Stream Builder
Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink. SQL has been around for a long time, and it is a very well understood language for querying data.
Snowflake's Phil Kippen Weighs In on Launch of the Telecom Data Cloud
Today Snowflake is officially launching the Telecom Data Cloud. Snowflake’s newest Data Cloud helps telecommunications service providers break down data silos within the business and across the ecosystem, allowing organizations to easily and securely access data in near real time, enrich it with machine learning models, and then share and analyze it to drive better decision-making.
Reverse ETL - A Must-Have for Modern Businesses?
Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) pipelines are standard data management techniques among data engineers. Indeed, organizations have long been using these processes to create effective data models. However, there has recently been a remarkable rise in the use of Software-as-a-Service (SaaS) based customer relationship management (CRM) apps, such as Salesforce, Zendesk, Hubspot, Zoho, etc., to store and analyze customer data.
The Evolution from DevOps to DataOps
By Jason Bloomberg, President, Intellyx Part 2 of the Demystifying Data Observability Series for Unravel Data In part one of this series, fellow Intellyx analyst Jason English explained the differences between DevOps and DataOps, drilling down into the importance of DataOps observability. The question he left open for this article: how did we get here? How did DevOps evolve to what it is today, and what parallels or differences can we find in the growth of DataOps?
SaaS In 60 - The Business Glossary
The Business Glossary helps eliminate data confusion by providing a comprehensive library of terms and descriptions that clearly identify how an organization defines its metrics measures and dimensions. It can streamline data-based decisions by eliminating misunderstandings due to competing terminologies or inconsistencies between technology definitions and business language. And a glossary can simplify regulatory compliance and serve as an important tool for data governance.
ETL vs. ELT: Why a post-load process wins every time
Learn three reasons why you should only perform your data transformations post load.
SQL Streambuilder Data Transformations
SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience.
23 Examples of Highly-Engaging Homepage Headlines
Not sure what makes a good headline? Dive into this guide packed with 23 copy headline examples and all the details you need to write an effective headline.