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.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

DECEMBER 26, 2023

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. You can execute this by learning data science with python and working on real projects.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

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.

Certification 52

Certification Data Engineering Data Engineer Engineering 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.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

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.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 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.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

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. The standard salary range, however, is $95,000 to $154,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

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?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 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.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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. using for loops in Python). IaC allows these teams to collaborate more effectively.

Data Warehouse 52

Data Warehouse Coding Systems Cloud 52

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. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 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?

ETL Tools 76

ETL Tools Programming Language Datasets Data Pipeline 76

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.

Engineering 100

Engineering Electronics ETL Tools Data Pipeline 100

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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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 <

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

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.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 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.

AWS 52

AWS Data Management ETL Tools Management 52

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.

MongoDB 52

MongoDB ETL Tools Database Data 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

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.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Knowledge Hut

JANUARY 29, 2024

To excel in this domain, individuals should possess the following skills: Data Transformation: The ability to perform various data transformations, such as merging, ordering, and aggregating, to prepare data for analysis.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

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).

Big Data 84

Big Data Metadata Data Warehouse Data 84

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

DareData

JULY 5, 2023

Learning about general unit testing frameworks such as PyTest or Airflow's testing framework will be very helpful during the development of your ETL processes! Access to Data Lake Storage Either via command line or a SQL interface, it may be beneficial to give your users power to access raw data stored in the lake layer.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

ProjectPro

NOVEMBER 30, 2021

Data Pipeline - The Differences ETL Pipeline Architecture ETL Pipeline Tutorial - How to Build an ETL Pipeline? Join Tables: If our source is RDBMS or SQL tables, we might need to join or merge multiple data tables. Flat Files: CSV, TXT, and Excel spreadsheets are standard text file formats for storing data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

dbt Developer Hub

NOVEMBER 28, 2021

Airflow and dbt are often framed as either / or: You either build SQL transformations using Airflow’s SQL database operators (like SnowflakeOperator ), or develop them in a dbt project. In my experience, these are false dichotomies, that sound great as hot takes but don’t really help us do our jobs as data people.

Google Cloud 52

Google Cloud SQL Cloud Consulting 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

Cloud 52

Cloud Engineering Cloud Computing Certification 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. The tests that are common across every data pipeline and help ensure basic functionality and quality.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

dbt Developer Hub

JUNE 12, 2023

Introduction ​ Most data modeling approaches for customer segmentation are based on a wide table with user attributes. This table only stores the current attributes for each user, and is then loaded into the various SaaS platforms via Reverse ETL tools.

Building 59

Building ETL Tools Data Warehouse Machine Learning 59

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 !

Engineering 84

Engineering Raw Data Data Science Scala 84

Towards Data Science

APRIL 6, 2023

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). So, join me on this post to develop a full data pipeline from scratch using some pieces from the AWS toolset.

AWS 77

AWS Data Pipeline Amazon Web Services Python 77