Edureka

AUGUST 29, 2024

In this respect, the purpose of the blog is to explain what is a data engineer , describe their duties to know the context that uses data, and explain why the role of a data engineer is central. What Does a Data Engineer Do? Design algorithms transforming raw data into actionable information for strategic decisions.

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Data Engineer Data Engineering Engineering Generalist 40

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. The post Data testing tools: Key capabilities you should know appeared first on Databand.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Precisely

MAY 3, 2023

From Raw Data to Insights: Simplifying Data Validation and Enrichment Businesses that want to be more data-driven are increasingly in need of data that provides answers to their everyday questions. How can the power of data validation and enrichment transform your business? Join us to find out.

Data Integration 52

Data Integration AWS Government Data Governance 52

dbt Developer Hub

SEPTEMBER 28, 2022

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. The analyst will try to do as much discovery work up-front as possible, because it’s hard to predict exactly what you’ll find in the raw data. Or are you? Style Guide?).

Engineering 52

Engineering Raw Data Datasets BI 52

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

ProjectPro

NOVEMBER 30, 2021

Now that we have understood how much significant role data plays, it opens the way to a set of more questions like How do we acquire or extract raw data from the source? How do we transform this data to get valuable insights from it? Where do we finally store or load the transformed data?

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Process Data Pipeline Data Warehouse AWS 52

The Modern Data Company

AUGUST 13, 2024

Introduction to Data Products In today’s data-driven landscape, data products have become essential for maximizing the value of data. As organizations seek to leverage data more effectively, the focus has shifted from temporary datasets to well-defined, reusable data assets.

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Raw Data Metadata Datasets Utilities 52

Monte Carlo

MAY 31, 2023

Companies that leverage CRMs might mitigate risks related to broad domain access by implementing a framework that includes data collection controls, human-error checks, restricted raw data access, cybersecurity countermeasures, and frequent data back-ups.

Building 52

Building Data Validation Healthcare Data Integration 52

Precisely

JANUARY 8, 2024

Read our eBook Validation and Enrichment: Harnessing Insights from Raw Data In this ebook, we delve into the crucial data validation and enrichment process, uncovering the challenges organizations face and presenting solutions to simplify and enhance these processes. Read Trend 3.

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Insurance Telecommunication Retail Data Integration 64