Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

ProjectPro

OCTOBER 28, 2015

Some of the common challenges with data ingestion in Hadoop are parallel processing, data quality, machine data on a higher scale of several gigabytes per minute, multiple source ingestion, real-time ingestion and scalability. Sqoop hadoop can also be used for exporting data from HDFS into RDBMS.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Data Engineering Podcast

JANUARY 15, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. Once you’re up and running, your smart data pipelines are resilient to data drift.

Engineering 100

Engineering Electronics Data Pipeline ETL Tools 100

Knowledge Hut

MAY 3, 2023

They are specialists in database management systems, cloud computing, and ETL (Extract, Transform, Load) tools. Making sure that data is organized, structured, and available to other teams or apps is the main responsibility of a data engineer. They should have knowledge of distributed systems, databases, and SQL.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Cleanse 98

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Knowledge Hut

APRIL 19, 2023

It is the process of extracting data from various sources, transforming it into a format suitable for analysis, and loading it into a target database or data warehouse. ETL is used to integrate data from different sources and formats into a single target for analysis. What is an ETL Pipeline?

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Grouparoo

SEPTEMBER 7, 2021

Operational analytics is the process of creating data pipelines and datasets to support business teams such as sales, marketing, and customer support. Data analysts and data engineers are responsible for building and maintaining data infrastructure to support many different teams at companies.

ETL Tools 52

ETL Tools Data Warehouse Business Intelligence Datasets 52

Monte Carlo

DECEMBER 4, 2023

Loading ChatGPT ETL prompts can help write scripts to load data into different databases, data lakes, or data warehouses. Simply ask ChatGPT to leverage popular tools or libraries associated with each destination. I'd like to import this data into my MySQL database into a table called products_table.

PostgreSQL 52

PostgreSQL ETL Tools Data Lake MySQL 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.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Ascend.io

OCTOBER 28, 2024

Tools like Python’s requests library or ETL/ELT tools can facilitate data enrichment by automating the retrieval and merging of external data. Ascend is a compelling option for managing these integration workflows, offering automation and scalability to streamline data integration tasks.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Grouparoo

DECEMBER 14, 2021

ETL, or Extract, Transform, Load, is a process that involves extracting data from different data sources , transforming it into more suitable formats for processing and analytics, and loading it into the target system, usually a data warehouse. ETL data pipelines can be built using a variety of approaches.

Process 52

Process Raw Data Data Warehouse Data Pipeline 52

Meltano

OCTOBER 5, 2022

A data engineer must figure out how the data will be structured, test data pipelines, and keep an eye on the entire data management process. However, to do their jobs well, data engineers require proper tools and solutions to facilitate the extraction of data from multiple sources.

Data Engineer 52

Data Engineer Data Engineering Engineering Raw Data 52

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. Airflow is obsolete.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Grouparoo

AUGUST 24, 2021

What you really want is a unified view of your data using Customer Data Integration so you can take action on it. Customer data integration here might include creating a data warehouse where you can house your accurate and complete dataset. How do you know your warehouse is up to date?

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Meltano

OCTOBER 5, 2022

DataOps, which is based on Agile methodology and DevOps best practices, is focused on automating data flow across an organization and the entire data lifecycle, from aggregation to reporting. The goal of DataOps is to speed up the process of deriving value from data. Using automation to streamline data processing.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52

Monte Carlo

FEBRUARY 15, 2023

Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute. What is a data warehouse?

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

NOVEMBER 28, 2023

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

NOVEMBER 17, 2023

They work with various stakeholders to provide real-time data analytics, maintain data quality and integrity, and deliver insightful data to the business. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Grouparoo

FEBRUARY 9, 2022

Today, organizations are adopting modern ETL tools and approaches to gain as many insights as possible from their data. However, to ensure the accuracy and reliability of such insights, effective ETL testing needs to be performed. So what is an ETL tester’s responsibility? Data integration testing.

Process 52

Process ETL System Data Warehouse Metadata 52

AltexSoft

OCTOBER 30, 2021

They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Juxtaposing data scientist vs engineer tasks. One data scientist usually needs two or three data engineers. Managing data and metadata.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Knowledge Hut

NOVEMBER 19, 2023

What Are Azure Data Engineer Tools? Azure Data Engineer Tools encompass a set of services and tools within Microsoft Azure designed for data engineers to build, manage, and optimize data pipelines and analytics solutions. The Azure SQL data warehouse's newest version is this one.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 52

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.

AWS 52

AWS ETL Tools Data Lake Scala 52

Knowledge Hut

JANUARY 30, 2024

This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins. The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP).

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

DECEMBER 26, 2023

They use tools like Microsoft Power BI or Oracle BI to develop dashboards, reports, and Key Performance Indicator (KPI) scorecards. They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

ProjectPro

FEBRUARY 18, 2022

This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Data engineers are in charge of developing data models, constructing data pipelines, and monitoring ETL (extract, transform, load).

Project 52

Project AWS Kafka Healthcare 52

Ascend.io

SEPTEMBER 19, 2023

Transform: Process the data to make it suitable for analysis (this can involve cleaning, aggregating, enriching, and restructuring). Load: Deliver the transformed data into a destination, typically a database or data warehouse.

ETL Tools 52

ETL Tools ETL Method Data Engineer Data Engineering 52

Edureka

FEBRUARY 9, 2023

Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others. To store various types of data, various methods are used.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 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.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40

Monte Carlo

SEPTEMBER 12, 2022

But with the rise of tools such as Segment, Fivetran, Meltano, and Airbyte, it’s become relatively easy for teams to bring all of their data from external sources into a centralized place like a data warehouse.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Edureka

JULY 4, 2024

Finally, Amazon EMR is fully integrated with AWS management tools like Amazon CloudWatch for monitoring and AWS Data Pipeline for data transportation; you can also interact with applications like Apache Zeppelin for EMR. Businesses can run these workflows on a recurring basis, which keeps data fresh and analysis-ready.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Students have the chance to put Azure data solutions into practice with the Microsoft Azure DP-203 certification training.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

AltexSoft

JANUARY 26, 2022

If we take the more traditional approach to data-related jobs used by larger companies, there are different specialists doing narrowly-focused tasks on different sides of the project. Data engineers build data pipelines and perform ETL — extract data from sources, transform it, and load it into a centralized repository like a data warehouse.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59