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7 Ways To Reverse ETL

ETL (Extract, Transform, Load) is an important part of how companies manage their data. Using the ETL framework, it is possible to take the data your business collects and put it into cloud databases. Aggregating data on a massive scale becomes possible since all of the data sent to the data warehouse can be transformed into something that they can store and effectively manage.

4 Key Flow Metrics for Agile Delivery Teams

Flow Engineering is the science of creating, visualizing and optimizing the flow of value from your company to the customers. In the end that is the million-dollar (likely more) challenge of most product companies: How to we create value in the form of product and services and ship those to our customers as quickly, sustainably and frictionless as possible.

Demystifying DataOps - Riding the Change

A well planned data-driven strategy has become the need of the hour in today’s competitive world. In order to deliver the best, businesses need relevant, appropriate and sufficient data at the right time. But the characteristics of data are changing rapidly across volume, variety and variability, which puts enormous pressure on current data management approaches. Thus, dealing with real-time insights from increasing data in an automated manner has become the current focus of many experts. This has resulted in the rise of DataOps.

Pushing Data to the Salesforce CRM From Your Warehouse 7 Pitfalls

ETL is an acronym for Extract, Transform and Load. It refers to a process of extracting data from one system and transforming it so that it can be loaded into another system. It is the process that lets businesses amass large amounts of data in data warehouses that they can use for business operations. Reverse ETL is a term used when the data is pushed from the warehouse to the CRM. This process seems simple, but there are many pitfalls that can come up during this phase.

Technology in the Finance Function: Which Trends Will Impact Tax and Transfer Pricing?

Read any overview of how the finance and accounting function is changing, and you will notice several common themes. Three of the most important of these are: cloud migration, data standardization, and interoperability. The aim of technology in finance is to remove friction. With cloud migration that means making upgrades, licensing, procurement and maintenance simpler with software-as-a-service (SaaS) models.

BigQuery Connector for SAP: Power your cloud data analytics strategy

Google Cloud has a genuine passion for solving technology problems that make a difference for our customers. With the release of our BigQuery Connector for SAP, we're taking a another big step towards solving a major challenge for SAP customers with a quick, easy, and inexpensive way to integrate SAP data with BigQuery, our serverless, highly scalable, and cost-effective multi cloud data warehouse designed for business agility.