Topic "Cloud Data Warehouses and Data Lakes"

A Big Thank You to Our Global Partners and Welcome to the Next Phase of Growth with Informatica

This past year has been an incredible year of change, the pandemic being the forcing function. We’ve all had to adjust, adapt, and respond to real and daunting challenges as the world came to a grinding halt then slowly chugged back to productivity, albeit in a remote and virtual fashion. Informatica has been going full... more

ETL vs ELT: What’s the Difference, How They Help and Common Myths

If you have been using a data warehouse in your organization or are planning to build one, chances are you have already heard about ETL and ELT. But, let’s quickly recap to set the stage for the rest of this discussion. What are ETL and ELT? ETL and ELT refer to whether you transform (“T”)... more

5 Ways API Management in IICS Will Benefit Your Business Day-to-Day

API management is the systematic process of designing, deploying, and controlling application programming interfaces (APIs) in a secure manner. API management solutions are seeing a lot of traction as organizations are moving their entire application stack to the cloud, in turn, driving the need for API-based integration to connect these cloud applications. But, creating APIs... more

The 3 Best Ways to Modernize Enterprise Applications

Did you know that 74% of organizations have started modernizing their enterprise applications to drive digital transformation initiatives? [1] Application modernization is the process of taking existing legacy applications into a cloud-native architecture. Modernizing your enterprise application stack is crucial in this rapidly growing cloud ecosystem to enhance productivity and drive revenue. Think modernizing your application... more

5 Things to Consider for a Cloud-Native Data Management Solution

What is cloud-native data management? Today, organizations are either building new cloud-native data warehouses or data lakes or modernizing their existing on-prem systems in the cloud to accelerate their digital transformation journey. According to Gartner, by 2025, over 80% of organizations will use more than one cloud service provider (CSP) for their data and analytics... more

What to Know About No-code Data Pipelines for Data Warehouse Modernization

On October 2017, Chris Wanstrath, the co-founder and former CEO of GitHub said, “The future of coding is no coding at all.” And though it’s not an absolute reality today, no-code platforms have seen tremendous growth in the recent years. Forrester predicted that the no-code development platform market will grow to $21.2 billion by 2022.... more

4 Ways to Maximize the Value of Your Data Warehouse and Data Lake with Metadata Management

Businesses today are rapidly modernizing and consolidating data warehouses and data lakes in the cloud. The transformation over the past few years has been conspicuous. With the exponential growth in the amount of data being generated and with businesses and functions demanding quick access to that data, enterprises need to scale up their analytical capability.... more

5 Steps to Modernize Your Data Warehouse and Lake with Cloud-Native Data Management

As organizations modernize their data warehouses and lakes in the cloud, they need simple, high-performance solutions that work at a petabyte-scale. According to surveys of Informatica customers, 78% say they want data and analytics solutions that are easy, reliable, and simple to use. Modernizing your data warehouse and data lake doesn’t have to be complex... more

Why You Should Use Informatica’s ELT or Advanced Pushdown Optimization for Snowflake

Learn about scalable, cost-efficient, and extremely productive data integration using Advanced Pushdown Optimization. The importance of using ELT Traditional data warehousing can’t keep up with the demands of rapidly growing data volumes, processing workloads, and data analysis use cases. Many organizations are moving their data warehouses to cloud, as a first step in the data warehouse modernization process.... more

How to Put Data to Work for Self-Service Analytics and Data Science With AI-Powered Enterprise Data Preparation

Trends driving demand for enterprise-scale data preparation Today, organizations are excited about the potential value of data to drive data-informed decisions for competitive advantage. But gaining the full value from the rapidly growing data in volume and diversity is increasingly challenging. There is also a growing demand for trusted data from every user to make... more