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Data Engineer ETL Tools SQL 
Confessions of a Data Guy
DECEMBER 21, 2023
Thinking about and contemplating life and data engineering … something flitted across my […] The post Datafusion SQL CLI – Look Ma, I made a new ETL tool. appeared first on Confessions of a Data Guy.
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Maxime Beauchemin
JANUARY 20, 2017
I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were developing new skills, new ways of doing things, new tools, and — more often than not — turning our backs to traditional methods. We were data engineers! Data Engineering?
130 
Knowledge Hut
MAY 3, 2023
With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.
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.
Netflix Tech
JULY 15, 2021
Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?
Data Engineering Weekly
DECEMBER 18, 2023
Lorin Hochstein: “Human error” means they don’t understand how the system worked The post is not directly related to Data Engineering but system operations in general. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.
Knowledge Hut
OCTOBER 31, 2023
Two of the most well-known cloud service providers, Amazon Web Services (AWS) and Microsoft Azure, provide reliable data engineering solutions. Often, aspiring data engineers must choose between two options: AWS data engineer or Azure data engineer.
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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Meltano
OCTOBER 5, 2022
Interested in becoming a data engineer? The need for data experts in the U.S. job market is expected to grow by 22% in this decade, and according to LinkedIn’s 2020 report , a data engineer is listed as the 8th fastest growing job today. But what is data engineering exactly and what does a data engineer do?
Knowledge Hut
MARCH 28, 2024
Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.
Silectis
DECEMBER 15, 2020
If you’ve been following along with Silectis over the past couple of years, you are familiar with our data engineering platform, Magpie. You’re aware of the many outcomes it puts at the fingertips of data engineers, and teams of data practitioners more largely. If you’re new around here, not to worry.
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.
Knowledge Hut
NOVEMBER 17, 2023
Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.
Data Engineering Podcast
JANUARY 15, 2022
In this episode Brian McMillan shares his work on the book "Building Data Products" and how he is working to educate business users and data professionals about the combination of technical, economical, and business considerations that need to be blended for these projects to succeed.
100 
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.
Edureka
FEBRUARY 9, 2023
The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Who is an Azure Data Engineer?
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?
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.
Knowledge Hut
NOVEMBER 17, 2023
The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.
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.
Edureka
AUGUST 29, 2024
The responsibilities of a data engineer imply that the person in this role designs, creates, develops, and maintains systems and architecture that allow them to collect, store, and interpret data. What Does a Data Engineer Do? Why Choose Data Engineering as a Career? How to Become a Data Engineer?
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.
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.
Cloudera
JUNE 26, 2023
Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. Take precaution using CDSW as an all-purpose workflow management and scheduling tool. So which open source pipeline tool is better, NiFi or Airflow?
81 
ProjectPro
FEBRUARY 21, 2023
With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?
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.
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. Extract, transform, and load data into a target system.
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Ascend.io
DECEMBER 21, 2022
After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards. However, data warehouses are only accessible to technical users who know how to write SQL. As a result, you have to use reverse ELT, which is essentially writing reverse SQL.
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Ascend.io
DECEMBER 19, 2023
We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. But first, a disclaimer.
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Ascend.io
MAY 31, 2023
In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Data Ingestion Data ingestion is the first step of both ETL and data pipelines. The data sources themselves are not built to perform analytics.
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.
Lyft Engineering
OCTOBER 3, 2023
This delay increased the difficulty and cost of data backfills. The lack of centralization in data quality also made the data discovery process inefficient, making it hard for data scientists and data engineers to identify trustworthy data. It uses either raw SQL or our domain-specific language (DSL).
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Ascend.io
AUGUST 31, 2023
Performance: Because the data is transformed and normalized before it is loaded , data warehouse engines can leverage the predefined schema structure to tune the use of compute resources with sophisticated indexing functions, and quickly respond to complex analytical queries from business analysts and reports.
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Monte Carlo
DECEMBER 4, 2023
At the heart of data engineering lies the ETL process—a necessary, if sometimes tedious, set of operations to move data across pipelines for production. So, don’t forget to review your ChatGPT outputs before leverage scripts or pushing any SQL code to production.
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ProjectPro
JANUARY 24, 2023
A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Both AWS Glue and Azure Data Factory can import SSIS packages. PREVIOUS NEXT <
52 
Monte Carlo
JANUARY 25, 2023
Freshness checks validate the quality of data within a table by monitoring how frequently that data is updated against predefined latency rules, such as when you expect an ingestion job to load on any given day. This test can be challenging if the data is coming from multiple sources or if the data is updated frequently.
Ascend.io
OCTOBER 28, 2024
You might even think of effective data transformation like a powerful magnet that draws the needle from the stack, leaving the hay behind. In this blog post, we’ll explore fundamental concepts, intermediate strategies, and cutting-edge techniques that are shaping the future of data engineering.
52 
AltexSoft
JANUARY 26, 2022
In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.
59 
ProjectPro
FEBRUARY 16, 2023
ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.
52 
Snowflake
MARCH 30, 2023
A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. Enter Snowpark !
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Data Science Blog: Data Engineering
SEPTEMBER 19, 2023
So why using IaC for Cloud Data Infrastructures? For Data Warehouse Systems that often require powerful (and expensive) computing resources, this level of control can translate into significant cost savings. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database.
AltexSoft
OCTOBER 21, 2022
The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Moving information from database to database has always been the key activity for ETL tools.
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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. Responsibilities A data scientist is responsible for identifying data sources, preprocessing data, building predictive models, and analyzing data systems for optimization.
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Monte Carlo
NOVEMBER 20, 2023
Far from a mere “copy-paste” job, data migrations can be deceptively tricky and one of the most challenging aspects of a data engineer’s job. But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Flyway : Manages and tracks database schema changes, ensuring smooth migrations.
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