Do you work with data? Zuar provides knowledge guides to help!

What is an ETL Pipeline?

In this helpful guide we'll discuss what an ETL pipeline is, why it's used, why ELT is a better option, and more.

How to hire a business analytics consulting service

Guide to Sourcing Data Management Consulting & Visualization Services

In this guide we discuss what data management consists of, how to hire a data management consultant, how to work with a consultant to visualize your data, and more!

Databases

What is Modern Data Architecture?

See what modern data architecture looks like, its pillars, cloud considerations, simplifying with an end-to-end data pipeline solution, and more!

Learning

Data Ingestion: Types, Pipelines, Tools & More

Learn about data ingestion tools and methods, and how it all fits into the modern data stack through ETL/ELT pipelines.

Databases

What is Google Bigtable?

Learn all about Google Bigtable including what kind of database it is, how Bigtable works, popular use cases, and frequently asked questions.

Databases

What is AWS Data Pipeline?

Zuar explains the basics of AWS Data Pipeline including an overview, common terms, the pros & cons, set-up instructions, JSON samples, and more!

Databases

Customer Data Mining: 8 Practical Examples

Customer data can be a gold mine for companies, but many aren’t using this data to its full potential. Customer data mining can provide insights to help your organization increase customer loyalty, enhance product profitability, and much more.

Learning

What is Data Extraction? Definitions, tools, techniques & more

Zuar covers data extraction concepts including the data extraction process, extraction types, tools, and more!

Overview of dbt and breakdown of dbt sources

Databases

What Are dbt Sources?

We dive into what dbt sources are, how they work, and how you can use them to advance your data warehouse.

A professional in a dark suit stands in front of a blackboard covered with equations and graphs.

Learning

Data Science: A Comprehensive Career Guide

Data science is a growing career field that offers numerous opportunities. Here, we discuss the skills, education, and experience you’ll need for a career in data science, and describe some programs and resources for data science information.

Data staging tutorial, overview, and best practices

Learning

The Complete Guide to Data Staging

In this in-depth guide, Zuar explains what data staging is, why it's important, types of data staging, software staging best practices, and more.

Overview of the data transformation process and data transformation definition

Learning

Data Transformation: Types, Process, Benefits & Definition

What is data transformation? What are the benefits of data transformation? What are the processes? Learn all this and more!

Overview of the types of data integration patterns

Learning

Data Integration Patterns Explained

Learn about the top 5 most common data integration patterns: data migration, broadcast, bi-directional sync, correlation, and aggregation.

Overview and explanation of data lakes, data mesh, and data fabric

Databases

Data Mesh vs. Data Fabric vs. Data Lake

Learn the differences between data lakes, data mesh, and data fabric and how your organization can leverage these frameworks in your data stack.

Overview of data silos, including disadvantages and how to identify and break down data siloes.

Learning

What is a Data Silo?

Learn what a data silos is, how they negatively impact your business, how to identify and eliminate them, and frequently asked questions .

Databases

Data Migration: Business Considerations & Implications

Learn about the process of migrating your database including the benefits of cloud migration, creating a data strategy, and choosing a database.

Differences between Python vs Java: speed, uses, performance, etc.

Learning

Python vs. Java: Uses, Performance, Learning

Python vs. Java. See their different uses, performance considerations, and info about learning each.

The differences between Reverse ETL, ETL, and ELT explained

Databases

Reverse ETL vs. ETL vs. ELT

Learn about the key differences between ETL, ELT, and Reverse ETL and how they can be leveraged in your data integration strategy.

Databases

What is Google Cloud Composer?

Get an overview of Google Cloud Composer, including the pros and cons, an overview of Apache Airflow, workflow orchestration, and frequently asked questions.

Cheat sheet and frequently asked questions for the AWS Redshift DATEDIFF function

Databases

Amazon Redshift DATEDIFF Function: Cheat Sheet & FAQ

This how-to guide explains Redshift's DATEDIFF function including arguments, examples, related functions, and frequently asked questions.

Databases

What is Amazon DocumentDB?

Amazon DocumentDB basics including types of NoSQL databases, DynamoDB vs. DocumentDB vs. MongoDB, and instructions for DocumentDB development.

Learning

Exploring the Data Value Chain

See how companies create value with data, better understand the data lifecycle, and learn how to implement the data value chain.

Tableau

Trusted Ticket Authentication With Tableau Server

This article describes how Tableau trusted authentication provides Single Sign-On (SSO) for embedded analytics in third-party applications.

Databases

What is Google BigQuery?

Learn the basics of Google BigQuery including features and functionality, SQL examples, the architecture, and more.

Databases

Amazon S3 Overview & Cheat Sheet

Use this cheat sheet to quickly reference common S3 commands, buckets, storage classes, lifecycle management, and frequently asked questions.