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

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.

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Data Engineering Data Engineer Engineering Scala 52

Data Engineering Weekly

MAY 3, 2024

It is hard to build a data-driven culture across the organization if it takes months instead of hours to build data assets. The current mode of data pipeline development requires expert data engineers, whereas all citizen developers use notebook-style development. How are we trying to solve this problem?

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Programming Language ETL Tools Data Pipeline Coding 117

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?

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Certification Data Engineering Data Engineer Engineering 52

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. Or your team?

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Data Engineering Data Engineer Engineering ETL Tools 52

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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Data Engineering Data Engineer Engineering Pipeline-centric 52

Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them).

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AWS Data Pipeline Amazon Web Services Python 79

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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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. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Ascend.io

AUGUST 31, 2023

In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines. However , to reduce the impact on the business, a data warehouse remains in use.

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Data Lake ETL Tools Data Warehouse Data Pipeline 52

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?

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ETL Tools Programming Language Datasets Data Pipeline 76

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 Data Mining 97

Knowledge Hut

MAY 9, 2024

Big Data Engineer Big data engineers focus on the infrastructure for collecting and organizing vast amounts of data, building data pipelines, and designing data infrastructures. They manage data storage and the ETL process.

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Data Science Data Mining Data Architect Programming Language 52

Scott Logic

APRIL 22, 2024

You can directly upload a data set, or it can come through some cort of ingestion pipeline using an ETL tool such as Amazon Glue. The business team will then be able to use their domain knowledge in combination with AI-enhanced BI tooling to quickly and easily visualise the data and the forecasts that the business needs.

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BI Software Engineer Software Engineering Algorithm 97

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. This is part of a series of articles about data quality.

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Data Cleanse Data Pipeline Datasets Data Validation 52

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. AWS Glue provides the functionality required by enterprises to build ETL pipelines.

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AWS Cloud Amazon Web Services ETL Tools 52

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. By employing these tools, teams can proactively detect issues before they become larger problems that affect business operations.

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Data Pipeline Data Lake Data Warehouse Datasets 52

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.

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ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

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AWS Data Lake ETL Tools Scala 52

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. Provide guidance and best practices on specific ETL tools Say you’re new to Apache Kafka.

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PostgreSQL Data Lake ETL Tools MySQL 52

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.

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Data Engineering Data Engineer Engineering Data Cleanse 98

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. New frameworks, new challenges, and new technologies are constantly shifting how engineers think about their work and their roles within their organizations. Plus, he was one of the first data engineers at Facebook and Airbnb.

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BI Data Governance ETL Tools Data Warehouse 52

Monte Carlo

AUGUST 8, 2023

By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime. From this perspective, the data validation process looks a lot like any other DataOps process.

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Data Validation Data Pipeline SQL Data 52

Data Engineering Weekly

JANUARY 6, 2023

Recap could be part of a traditional data catalog, something you could use to build a data catalog, but it isn’t a data catalog. Data quality, data contract, data discovery, compliance, governance, and ETL tools all need metadata–row counts, cardinality, distribution, max, min, number of nulls, and so on.

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Metadata ETL Tools MySQL Data Lake 40

DareData

JULY 5, 2023

Test, Test, Test With the flexibility of data lake infrastructures, there's also a higher likelihood that your pipelines may fail - particularly when you are acquiring data from sources that you don't control (APIs, Scraping the Web, etc.). If you need help to understand how these tools work, feel free to drop us a message!

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Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

MARCH 22, 2024

Role Level Mid to Senior Level Responsibilities Designing and implementing data pipelines for MongoDB databases. Education & Skills Required Bachelor’s or Master’s degree in Computer Science, Data Science , or a related field. Good Hold on MongoDB and data modeling. Strong programming skills (e.g., Python, Java).

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MongoDB Amazon Web Services Computer Science Education 52

Monte Carlo

DECEMBER 19, 2022

Data quality testing is the process of validating that key characteristics of a dataset match what is anticipated prior to its consumption. According to Gartner , bad data costs organizations on average an estimated $12.9 Download our Data Quality Testing 101 eBook So, what is data quality testing anyway?

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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. It is great to see an internal tech talk with a series focus on data engineering. Visit rudderstack.com to learn more.

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Data Engineering Data Engineer Engineering Food 67

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

dbt Developer Hub

NOVEMBER 28, 2021

In my days as a data consultant and now as a member of the dbt Labs Solutions Architecture team, I’ve frequently seen Airflow, dbt Core & dbt Cloud ( via the official provider ) blended as needed, based on the needs of a specific data pipeline, or a team’s structure and skillset. Let’s mangle the production script.

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Google Cloud SQL Cloud Consulting 52

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?

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Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 21, 2023

That’s why, in this section I will tell you some of the Microsoft cloud engineer salary in India based on their skill set: Job Title Technical Skills Required Salary Range Cloud Solutions Architect Cloud computing, virtualization, networking INR 5.1 LPA - INR 20 LPA Data Analyst Data mining, data modeling, statistical analysis INR 2.01

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Cloud Engineering Cloud Computing Certification 52

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?

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Data Engineering Data Engineer Engineering Raw Data 52

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 Scala 52

ProjectPro

SEPTEMBER 26, 2021

According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Most of these are performed by Data Engineers.

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Big Data Data Engineering Data Engineer Engineering 52

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. Fast forward to the present day, and we now have data pipelines. However, they are not just an upgraded version of ETL. Yet, the technical problem is the same.

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Data Pipeline ETL Tools Pipeline-centric Data Warehouse 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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