Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

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Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

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Knowledge Hut

MARCH 15, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

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Knowledge Hut

MARCH 20, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

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Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

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Data Engineering Data Engineer Engineering Non-relational Database 52

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

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

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Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?

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Rockset

OCTOBER 20, 2022

Introduction Making use of real-time data for analytics is a deeply collaborative project. We’ve helped data engineers, data architects, engineering leaders, ML teams, and product managers connect the dots between various systems to deliver on Rockset’s promise of fast queries on fresh data.

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Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

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Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

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Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. These companies are constantly looking out for professionals who are familiar with and can develop newer technologies and systems for larger volumes of data. Who is an AWS Data Engineer and What Do They Do?

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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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Silectis

MARCH 9, 2021

The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. I caught up with a few members of the team to take note of some of the data engineering trends we anticipate seeing more of this year and beyond. – Matt Boegner , Data Architect at Silectis 2.

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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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Rockset

FEBRUARY 17, 2022

To solve this last mile problem and ensure your data models actually get used by business team members, you need to sync data directly to the tools your business team members use day-to-day, from CRMs like Salesforce to ad networks, email tools and more. As data engineers, how we engineer said data is important.

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DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

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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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Monte Carlo

NOVEMBER 21, 2022

What’s next for the future of data engineering? Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. Pro-tip: be sure to check out his talk from IMPACT: The Data Observability Summit.

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Snowflake

FEBRUARY 21, 2024

This greatly simplifies the experience of working with data for app developers, data engineers, architects and admins. Here are a few examples of what this deep integration provides: Unified data governance: Govern all of your transactional and analytical data with one central set of policies.

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Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

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ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

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Knowledge Hut

NOVEMBER 29, 2023

Here are the different roles associated with the different Microsoft Azure certifications:   Azure Fundamentals Azure Administrator Associate Azure AI Engineer Associate Azure Data Engineer Associate Azure Developer Associate Azure Solution Architect Expert Azure DevOps Engineer Expert Now, let’s get into this certification path in detail: 1.

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Knowledge Hut

JULY 4, 2023

Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers. A Data Architect can earn up to 1,30,000, while a Data Scientist can expect a salary range of $90,000-$1,30,000 per year. Build data systems and pipelines.

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ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Focussed on designing, building, and maintaining large-scale data processing systems.

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U-Next

AUGUST 8, 2022

Roles In Data Science Jobs. The most well-known job titles for Data Scientists include. Data/Analytics Manager. Admin Data. Data Scientist. Data Scientist. Data Architect. Data Engineer. A degree in Data Science helps you excel in the job. Data Scientist.

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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.

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Data Science Computer Science Programming Language NoSQL 52

Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

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Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

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Knowledge Hut

MARCH 22, 2024

(Source: Payscale) Top Companies Hiring: IBM Netflix Facebook Relevant Certifications : Certified Information Systems Security Professional (CISSP) Certified Cloud Security Professional (CCSP) Azure Security Engineer Associate Google Cloud Professional Cloud Security Engineer 8.

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Striim

NOVEMBER 30, 2022

Some of the sources Striim supports include: Databases: Oracle, Microsoft SQL Server, MySQL, PostgreSQL, etc. Learn about log-based CDC in detail here. Streaming SQL Standard SQL can only work with bounded data that are stored in a system. Use case: How can an apparel business analyze data with Striim?

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Knowledge Hut

NOVEMBER 27, 2023

You might know both SQL and Python for example. Data Scientist Learning Path for 2023 1. Learn SQL Most people will ask you to learn programming as the first step toward Data Science, but in my experience, it’s equally important to learn SQL. Collaboration This is one of the key roles of any Data Scientist.

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Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. Skills acquired : Core data concepts. The role that is covered by this certification is DBA.

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AltexSoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

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Monte Carlo

APRIL 16, 2022

One camp is mad at me because they think this is nothing new and it requires long manual processes and data architects with 30 years of experience. The other camp is mad at me because their modern data stack is fundamentally not set up this way and it isn’t how they have been building out their data products,” said Chad.

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Airbnb Tech

NOVEMBER 3, 2020

Organization Once momentum on the Data Quality initiative reached a critical point, leadership realigned the company’s limited data engineering resources to kickstart the project. Data Engineering Role For several years, Airbnb did not have an official Data Engineer role.

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Data Warehouse Scala Datasets Data Engineering 52

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer. What are its benefits?

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