Remove insights what-is-big-data-and-does-it-still-matter
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Business Intelligence Dashboard: All You Need to Know

Knowledge Hut

Although this remark cannot be applied universally and is a cliche, it does emphasize an essential truth about today's digital world: customer values are constantly changing. The finest business intelligence dashboards make it simple to mix data from many sources, study this data, and evaluate it right there on the dashboard.

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A Year of Modern: Our Top 2022 Blog Posts — Chosen by You

The Modern Data Company

Another year, another chance to learn more about the world of data. In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven.

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How to Treat Your Data As a Product

Monte Carlo

Your company wants to “treat data like a product.” What does that mean? For the past few decades, most companies have kept data in an organizational silo. In the 2020s, however, data is no longer a second-class citizen. And the most forward-thinking teams are adopting a new paradigm: treating data like a product.

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5 Data Quality Tools—What They Are & When You Need Them

Monte Carlo

It’s rare to find a data leader, engineer, scientist, or analyst — or business stakeholder — who doesn’t believe data quality is important. When your company relies on data to power products or decision-making processes, everyone agrees that data needs to be accurate and trustworthy. And there’s a huge difference.

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Data Engineer vs Data Scientist- The Differences You Must Know

ProjectPro

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science? Data Engineer vs Data Scientist: Which is better?

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5 Helpful Extract & Load Practices for High-Quality Raw Data

Meltano

ELT is becoming the default choice for data architectures and yet, many best practices focus primarily on “T”: the transformations. But the extract and load phase is where data quality is determined for transformation and beyond. “Raw data” sounds clear. But wait, why aren’t these “best practices”?

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Table of Contents Who is an Azure Data Engineer?