Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts?

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Data Engineering Data Engineer Engineering Business Intelligence 52

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

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Data Engineering Data Engineer Python Engineering 52

U-Next

AUGUST 17, 2022

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.

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Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

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Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.

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Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

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Data Engineering Data Engineer Engineering PostgreSQL 52

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively.

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Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

OCTOBER 3, 2023

Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions. What Does an Azure Data Engineer Do? Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models.

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Data Engineering Data Engineer Engineering Cloud Computing 52

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. Complex SQL queries have long been commonplace in business intelligence (BI). And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time.

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SQL NoSQL Hadoop MongoDB 52

Edureka

FEBRUARY 7, 2023

If you want to become a data engineer, you should prepare for the interview process. To help you get a head start on your preparation, I’ve compiled a list of the Top 30+ Azure Data Engineer Interview Questions. When it comes to professionals, data engineers are the most in-demand in the IT industry.

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Data Engineering Data Engineer Engineering Hadoop 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! What are Data Engineering Tools?

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Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

JANUARY 5, 2022

So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. In many tech circles, SQL databases remain synonymous with old-school on-premises databases like Oracle or DB2.

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Database SQL NoSQL Raw Data 52

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Data Engineering Data Engineer Engineering Machine Learning 98

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. What does a data engineer do?

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Certification Data Engineering Data Engineer Engineering 52

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams.

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Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

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Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 25, 2024

Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. Spark also supports SQL queries and machine learning algorithms. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data.

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Big Data Technology Hadoop NoSQL 98

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

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Data Engineering Data Engineer Engineering AWS 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Data Engineering Data engineering is a process by which data engineers make data useful.

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Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

Data Science is a combination of several disciplines including Mathematics and Statistics, Data Analysis, Machine Learning, and Computer Science. Data Science is a huge umbrella with a plethora of roles available in the field such as a Data Scientist, Data Engineer, BI Developer, Data and Analytics Manager, etc.

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Data Science BI Business Intelligence Machine Learning 97

ProjectPro

JANUARY 19, 2022

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.

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Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

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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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Data Engineering Data Engineer Engineering Amazon Web Services 52

Edureka

OCTOBER 10, 2024

These include: Azure Services: This is because copying volumes of data from one service to another is very easy with full support for Microsoft Azure Blob Storage, Azure Data Lake Storage Gen 1 and Gen 2, Azure SQL Data Base, and Azure Synapse Analytics. FAQs How to improve copy activity performance in Azure Data Factory?

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MongoDB NoSQL Metadata Datasets 40

Data Engineering Podcast

FEBRUARY 11, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? What impact has the 10.0 What impact has the 10.0

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PostgreSQL NoSQL Google Cloud MongoDB 100

Christophe Blefari

OCTOBER 20, 2023

Read my dbt multi-project guide 📺 On the content side I'll also present next week the Fancy Data Stack project at the Data Engineering And Machine Learning Summit 2023 organised by Seattle Data Guy. Tests are directly added in the SQL code at the column that is target. ScyllaDB raises $43M Series C.

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Data Engineering Podcast

JUNE 10, 2018

To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB. I know that your SQL syntax is PostGreSQL compatible, so is it possible to use existing ORMs unmodified with CockroachDB?

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PostgreSQL NoSQL Relational Database SQL 100

Edureka

AUGUST 27, 2024

It helps businesses by making sure that their data is always available and can handle lots of users from different locations. Multi-API Support: Cosmos DB works with different APIs, which are like special tools for interacting with data. You can use tools like SQL or MongoDB depending on what you need. Is Cosmos DB SQL or NoSQL?

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NoSQL MongoDB SQL Database 40

Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. They manage data storage and the ETL process.

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Data Science Data Architect Data Mining Programming Language 52

Rockset

NOVEMBER 1, 2018

Moreover, despite forecasts to the contrary, SQL remains the lingua franca of data processing; today's NoSQL and Big Data infrastructure platform usage often involves some form of SQL-based querying. Looking Forward The resulting opportunity for both application developers and data scientists is exciting.

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Raw Data SQL Unstructured Data NoSQL 40

Monte Carlo

JUNE 2, 2024

A venn diagram comparing common responsibilities of data infrastructure engineers and data science engineers. For example, Data Infrastructure Engineers use their programming skills to lead system architecture and data engineering efforts.

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Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

A venn diagram comparing common responsibilities of data infrastructure engineers and data science engineers. For example, Data Infrastructure Engineers use their programming skills to lead system architecture and data engineering efforts.

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Engineering Amazon Web Services Data Science AWS 52

Rockset

SEPTEMBER 13, 2022

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available. DynamoDB is a NoSQL database provided by AWS.

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SQL Database Relational Database NoSQL 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

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Data Engineering Data Engineer Engineering Hadoop 40

Rockset

FEBRUARY 2, 2022

Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. Yet, analytics is now a vital part of modern data applications. 2 – Use a Data Virtualization Tool The next approach is to use a data virtualization tool.

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MongoDB NoSQL Data Warehouse BI 52

Knowledge Hut

JANUARY 18, 2024

Data Scientist-(average salary: Rs 11 lakhs, can reach up to Rs 25 lakhs) Data analyst-(average salary: Rs 4.2 lakhs) Data architect-(average salary: Rs 23 lakhs, can reach up to Rs 38.5 lakhs) Data engineer-(average salary: Rs8.1 lakhs, can reach up to Rs 11.5 lakhs, can reach up to Rs 21.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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