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How To Use a Customer Data Platform (CDP) as Your Data Warehouse

Oct 3, 2022 By Terence Bennett In Integrate

Here’s what you need to know about how to use your customer data platform (CDP) as your data warehouse: Whether you’re a mom-and-pop store or an ecommerce giant, understanding the customer journey is crucial to your organization’s success. When you collect data across a wide range of customer touchpoints, you can use this wealth of information for many different use cases: performing audience segmentation, improving your marketing campaigns, boosting customer engagement, and more.

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[DEMO] How to manage Talend Studio updates from Talend Management Console?

Oct 2, 2022 By Talend In Talend

Talend Cloud provides powerful graphical tools and 900+ connectors and components to connect databases, big data sources, on-premises, and cloud applications. Design cloud-to-cloud and hybrid integration workflows in Talend Studio and publish them to a fully managed cloud platform. If you are using Talend Cloud Management Console with Talend Studio, depending on your license, you can create executable tasks for Jobs, Data Services, and Routes published from Talend Studio and run them directly in the cloud or on Remote Engines, ensuring the security of your data. =

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MLRun Quick Start Tutorial

Oct 2, 2022 By Iguazio In Iguazio

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Complete ETL Process Overview (design, challenges and automation)

Sep 30, 2022 By Keboola In Keboola

The Extract, Transform, and Load process (ETL for short) is a set of procedures in the data pipeline. It collects raw data from its sources (extracts), cleans and aggregates data (transforms) and saves the data to a database or data warehouse (loads), where it is ready to be analyzed. A well-engineered ETL process provides true business value and benefits such as: Novel business insights. The entire ETL process brings structure to your company’s information.

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Star Schema vs Snowflake Schema and the 7 Critical Differences

Sep 30, 2022 By Keboola In Keboola

Star schemas and snowflake schemas are the two predominant types of data warehouse schemas. A data warehouse schema refers to the shape your data takes - how you structure your tables and their mutual relationships within a database or data warehouse. Since the primary purpose of a data warehouse (and other Online Analytical Processing (OLAP) databases) is to provide a centralized view of all the enterprise data for analytics, data warehouse schemas help us achieve superior analytic results.

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Data Governance and Strategy for the Global Enterprise

Sep 30, 2022 By Cloudera Contributors In Cloudera

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations.

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8 Ways You Can Reduce the Costs of Your Data Operations

Sep 30, 2022 By Keboola In Keboola

Don’t sacrifice scalability for savings - have it both ways When left unchecked, the cumulative costs of your company data can ramp up fast. From training CPU-intensive machine learning algorithms that aren’t used in production to supporting enormous databases storing every minute event “just in case”. Letting your data operating costs run without checks and balances can quickly cause costs to bloat beyond your allocated budgets.

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Introduction to Dashboard Filters

Sep 30, 2022 By Yellowfin BI In Yellowfin

Learn all about using filters in a dashboard, including editing existing filters and adding new filters. You will also learn how to change the number of items that display in each filter list, and how to change the entry style from a list to checkboxes or popups.

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Cloudera DataFlow Functions for Public Cloud powered by Apache NiFi

Sep 30, 2022 By Cloudera In Cloudera

Since its initial release in 2021, Cloudera DataFlow for Public Cloud (CDF-PC) has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters. CDF-PC’s DataFlow Deployments provides a cloud-native runtime to run your Apache NiFi flows through auto scaling Kubernetes clusters as well as centralized monitoring and alerting and improved SDLC for developers.

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What You Should Know About Corporate Loyalty and IT

Sep 30, 2022 By Bill Inmon In Integrate

This is a guest post with exclusive content by Bill Inmon. Bill “is an American computer scientist recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” -Wikipedia. The five critical considerations for corporate loyalty.

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