ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution.

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ProjectPro

JUNE 9, 2021

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?

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The Pragmatic Engineer

JANUARY 12, 2023

In this week’s The Scoop, I analyzed this information and dissected it, going well beyond the raw data. Here are a few details from the data points, focusing on software engineering compensation. Source: The Pragmatic Engineer blog. Software engineering: Software engineering compensation numbers.

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Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

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Workfall

SEPTEMBER 18, 2023

Pair this with Snowflake , the cloud data warehouse that acts as a vault for your insights, and you have a recipe for data-driven success. Get ready to explore the realm where data dreams become reality! In this blog, we will cover: What is Airbyte? With Airbyte and Snowflake, data integration is now a breeze.

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Knowledge Hut

APRIL 23, 2024

With emerging technologies like AI, machine learning, and blockchain, the demand for software engineers has skyrocketed. This blog will explore some of the most exciting software career options and what you need to do to get started. The average salary of QA engineers is $86,000 per year, which may vary between $60,000 and $125,000.

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DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

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Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. Monitor total records processed or bytes transferred to ensure smooth operation.

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Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

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Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights. Happy DBT-ing!

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Workfall

JULY 18, 2023

With DBT’s materializations, our data transformations underwent a magical transformation themselves. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. So grab your wands (or keyboards), and let’s cast a spell of mastery over data transformations like never before.

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Workfall

AUGUST 14, 2023

These tools, when combined, form a dynamic duo that streamlines and scales data engineering workflows. In this blog, we will explore the benefits of using DBT and Airflow together and how they make data pipeline management easier than ever before. In this blog, we will cover: Understanding DBT and Airflow What is DBT?

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Databand.ai

AUGUST 30, 2023

Data Processing and Transformation Data processing and transformation involve the manipulation and conversion of raw data into a format suitable for analysis, modeling, and visualization. Implement tools and practices that facilitate communication, knowledge sharing, and joint problem-solving.

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ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

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DataKitchen

MAY 4, 2023

The data industry is now adopting similar principles, such as data testing instead of test-driven development, data observability instead of observability, and functional data engineering instead of functional programming. Chris talks about the idea of a ‘domain’ as a principle of Data Mesh.

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DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. Understanding the Architecture No company is alike and no infrastructure will be alike.

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DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Too many data organizations run data operations like a hundred-year-old car factory. While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line.

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Knowledge Hut

JANUARY 12, 2024

Data Engineer Data Engineers' responsibility is to process raw data and extract useful information, such as market insights and trend details, from the data. Education requirements: Bachelor's degrees in computer science or a related field are common among data engineers.

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Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

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DataKitchen

AUGUST 19, 2021

A sales or marketing team member could propose an idea –– what if we combined data from sources A and B to find potential customers for our new product? The data engineer updates the Recipe (orchestration) that feeds the data lake if a data source needs to be added and modifies the Recipe that generates the data warehouse.

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Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Using Cloudera Data Platform.

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Cloudera

DECEMBER 17, 2020

First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases. CDP enables a fully integrated and seamless ML lifecycle — from data pipelines to production and everything in between. Laurence Goasduff, Gartner.

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Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). It’s a great place to learn Data Science. Collaboration This is one of the key roles of any Data Scientist.

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Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? And many more. And many more.

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ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

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Knowledge Hut

SEPTEMBER 28, 2023

Here is the template you can use for AWS Cloud Security Engineer Job Description. AWS Data Engineer Roles And Responsibilities This popular, on-demand job role involves collecting and processing data from various sources, transforming the raw data into formats suitable for analysis and reporting, and ensuring data quality and integrity.

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Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

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DataKitchen

OCTOBER 27, 2022

The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at various points in the process and measure. Have those thermometers check while your data and tools are running in production a few things, for example: Did the production process start?

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Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. Build data systems and pipelines.

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Data Engineering Weekly

MARCH 31, 2024

My key highlight is that Excellent data documentation and “clean data” improve results. The blog further emphasizes its increased investment in Data Mesh and clean data. link] Databricks: PySpark in 2023 - A Year in Review Can we safely say PySpark killed Scala-based data pipelines?

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U-Next

JULY 4, 2022

The chances are tremendously more that you will land a successful career in the data science field after reading this blog than without reading it. Introduction To Data Science Career. Data science career has been evolving, and it is in high demand. Data science is involved in the process of collecting and analysing data.

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Databand.ai

JUNE 14, 2023

The primary goal of data quality testing is to ensure that an organization’s datasets are accurate and reliable enough to support well-informed decisions. Data engineers often utilize specialized tools to perform comprehensive tests on their datasets while tracking metrics related to these aspects throughout the entire lifecycle.

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Monte Carlo

AUGUST 31, 2023

Additionally, things can go wrong even when data isn’t at a critical juncture, for instance, when data is migrated between warehouses or manually entered in a source system. In industry, data scientists typically collect, wrangle, augment, and make sense of unstructured data to improve the business.

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RandomTrees

DECEMBER 20, 2023

The training process gets improved by uploading a relevant subset of raw data when uploaded to the cloud. A federated learning system updates AI training locally on the edge device. Federated deep learning is also a promising technology that could improve edge AI’s privacy and security.

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Rockset

JANUARY 10, 2019

This post outlines how to use SQL for querying and joining raw data sets like nested JSON and CSV - for enabling fast, interactive data science. Data scientists and analysts deal with complex data. Much of what they analyze could be third-party data, over which there is little control.

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ProjectPro

JULY 12, 2021

You can consider many other high-paying career options as a data enthusiast. This blog will take you through a relatively new career title in the data industry — AI Engineer. Table of Contents Why do you need to become an AI Engineer: Are AI Engineers in Demand? What is an AI Engineer?

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Data Engineering Weekly

JANUARY 15, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The conversation around the Cost of Idle CPU in Snowflake is exciting to me in the blog.

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