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ETL Testing: What, Why, and How to Get Started

Getting ETL testing up and running can seem intimidating and technologically challenging, but it can be boiled down to a set of 7 steps: 1. Specify business requirements. Clarify the business objectives of the ETL process, define the expected scope and … See more

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URL: https://www.keboola.com/blog/etl-testing

Data Automation: 3 Simple Ways To Do It (How To Guide) …

WEBCreate a list of all the potential processes for optimization. Prioritization. Use the amount of time wasted as a proxy for how important a process is and how it relates to your …

Category:  Health Go Health

A comprehensive guide to telemetry

WEBTelemetry systems monitor the performance of remote components. When you have multiple components that are physically in distinct locations, each component …

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Project Health Check – Keboola Connection Support

WEBProject Health Check. Follow. Keboola NA Support Updated : September 29, 2020 14:56 September 29, 2020 14:54. If you've been using Keboola Connection …

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Introduction to Automated Data Analytics (With …

WEBAutomated analytics can be used in a number of ways. For example, you can automate full data processes, automate full business intelligence dashboards, create data-driven self …

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Structured vs Unstructured Data: A Short Guide

WEBData storage infrastructure. Structured data is typically stored in relational databases (RDBMS) or data warehouses in a neatly organized fashion. Unstructured …

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Data Transformation in ETL Process Explained (2023 …

WEBIn a typical ETL process, data transformation follows data extraction, where raw data is e xtracted to the staging area (an intermediate, often in-memory storage). After data is …

Category:  Health Go Health

What is data health and why it is critical for your business

WEBCheck your data health. Why it is essential for great reports and better predictions? Clean data is particularly crucial for CRM, ERP, sales and IT systems with customer data.

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Understanding OLAP Cubes

WEBOLAP cubes go one step further and aggregate data across dimensions. For example, an OLAP cube could aggregate total sales amount across three dimensions: …

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Data Consolidation

WEBData consolidation technique #1: Data warehousing. Data warehousing is the most common data consolidation technique. You extract data from its raw data sources and ingest into …

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Data Exploration: Theory & Techniques

WEBExploratory Data Analysis (EDA) is a field of data analytics that analyzes data by describing the dataset’s main characteristics either through descriptive statistics …

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Kimball vs Inmon: Which approach should you choose when

WEBKimball’s architecture is much simpler and faster to design and set up. Understandable. The dimensional data model is easy to understand for non-technical and technical …

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The 7 Best Data Mapping Tools in 2023

WEBKeboola. Talend Open Studio for Data Integration. CloverETL (CloverDX) Pimcore. Informatica PowerCenter. IBM InfoSphere. Altova. Set up your data mapping project in …

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eCommerce analytics 101: The ultimate guide

WEBThe insights from eCommerce analytics bring several benefits to owners of eCommerce platforms: Understand how you are performing. Without numbers to guide …

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Harri: Without Keboola, we would need a team 3x the size to get …

WEBWithout Keboola helping with the heavy lifting, Harri would have needed a team triple in size. They would have needed separate people working with databases, devoted team …

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Marketing Data Warehouse: A Simple Step-By-Step Guide

WEBA marketing data warehouse (DWH) is a data storage solution that allows you to store and consolidate marketing data across all your various data sources into a …

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7 Best Data Pipeline Tools 2023

WEBBatch data pipeline tools will first store data received and then process it in a batch. Realtime data pipeline tools will process the data immediately. Some well-known batch …

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