Tag "Cloud Data Integration"

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

Getting Started With IoT Geospatial Data

Every day the number of devices connected to the internet keeps growing. As more smart devices and advanced sensors come online this number will keep rising exponentially. Some estimates suggest that by 2025 there will be about 41.6 billion connected devices, which can generate 79.4 zettabytes (ZB) of data [Source: IDC]. Some of these will be sensors... more

A Toast to Our Intelligent Data Disruptors This Holiday Season

As the end of 2020 approaches and the holiday season is in full swing, we’re raising our glasses to celebrate our Informatica customers—our Intelligent Data Disruptors. Our customers have made 2020 a monumental year with their data-driven initiatives. Here are a few success stories we’re excited to shine some extra light on this holiday season:... more

Introducing Cloud Data Integration Advanced Serverless

Serverless computing is a cloud computing execution model in which the application developers are freed up from managing and running the server infrastructure, virtual machines, or containers. Developers need only focus on building their application, thereby realizing higher productivity through operational simplicity. Serverless computing can be misleading as it does not mean that servers are... more

Enjoying your data lake from your lakehouse

When it comes to data, businesses have trust issues. According to a survey by TDWI, 64% of CIOs(1) believe data quality and management are the biggest barriers to unleashing the power of all the information they process and store. To gain more control, companies have invested in cloud data warehouses and data lakes. The growing... more

Summer May Be Over, But Don’t Forget About Your Cloud Lakehouse!

As autumn approaches and the air begins to chill, we might reminisce fondly about the hot days of summer.  Maybe you spent the days relaxing in a hammock, tending to a garden, or grilling outside.  Many people likely spent some portion of the summer cooling off in the water whether at the beach, river, or... more

Cloud Data Integration Elastic – Understanding Auto Scaling

Co-authored with Anand Sridharan Why Auto Scaling? How should you configure your Cloud Data Integration Elastic (CDI-E) cluster? Is the cluster too large or too small? Does it have the right number of nodes to meet SLAs? All these are difficult questions to answer. Workloads may not stay the same and can differ hour by... more

2020 CLAIREview Intelligent Data Summit for Cloud Data Warehouses, Data Lakes, and Data Lakehouses

Many of us are working from home these days, some of us for the first time in our careers. Even seasoned working-from-home professionals like myself feel like we are cast members on a “Working from Home Extreme Edition” reality show. The experience can be challenging in and of itself; adding in children, roommates, siblings, spouses,... more

Informatica and Snowflake: Successful Digital Transformation at Enterprise Scale

More and more aspects of life and work are becoming digitized. The world has awakened to the value of the massive amounts of data that this new reality generates. Data is arguably the most critical asset across an organization—and companies that leverage it to increase revenue, reduce costs, and gain competitive advantage are the best... more

Cloud Integration Hub: 7 Ways to Reduce Integration Costs and Improve Productivity

Co-authored with Ruma Sanyal, Director, Hybrid Integration Platform and iPaaS. A digital business calls for a well-connected infrastructure. Your digital transformation will fall flat, however, without a successful data and application integration strategy. Integration is challenging because there are ever-changing requirements, such as new business initiatives, technology evolution, mergers and acquisitions, competitive maneuvers, and newly... more