Hevo

APRIL 26, 2024

The importance of using data in sectors like Data Science, Machine Learning, etc. ETL (Extract, Transform, and Load) is a Data Engineering […] grows as the amount of data sources, and data types in an organization expand. Converting raw data into a clean and reliable form is a key step for extracting meaningful insights from it.

Raw Data 40

Raw Data Machine Learning Data Science Data Engineering 40

Data Engineering Podcast

NOVEMBER 13, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Building 130

Building Metadata MongoDB MySQL 130

Knowledge Hut

MARCH 28, 2024

This is the perfect time to search for Azure data engineer jobs for freshers and to start learning Azure for Dat a Engineers out there. Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service. Machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ThoughtSpot

MARCH 5, 2024

With dynamic tables automating ETL workflows directly in Snowflake and ThoughtSpot surfacing those insights to all users through multi-modal, AI-Powered Analytics, you can now optimize your stack to deliver the most value for your entire business. Learn more about AI-Powered Analytics for your Snowflake Data Cloud.

BI 94

BI Datasets Raw Data SQL 94

Data Engineering Podcast

JULY 9, 2023

dbt vs. informatica vs. ETL scripts, etc.) What are the most interesting, unexpected, or challenging lessons that you have learned while working on ECM? The Machine Learning Podcast helps you go from idea to production with machine learning. dbt vs. informatica vs. ETL scripts, etc.) When is ECM the wrong choice?

Database-centric 130

Database-centric Machine Learning SQL Data Engineering 130

Netflix Tech

NOVEMBER 14, 2023

However, this approach usually leads to redundant data reprocessing, thereby increasing ETL processing time and compute costs. The sequential load ETL shown in the diagram below depicts one such pipeline that calculates an account's state every hour. It also becomes inefficient as the data scale increases.

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

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 let’s take a little ChatGPT speaking course and look at a few example prompts for each stage of the ETL process. Some of the email entries are missing or have invalid formats.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 52

Data Engineering Podcast

APRIL 2, 2023

What are the most interesting, unexpected, or challenging lessons that you have learned while working on the MAD landscape over the years? The Machine Learning Podcast helps you go from idea to production with machine learning. If you've learned something or tried out a project from the show then tell us about it!

Hadoop 130

Hadoop Machine Learning Python Architecture 130

Data Engineering Podcast

NOVEMBER 6, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Building 130

Building IT Metadata MongoDB 130

Monte Carlo

OCTOBER 5, 2023

A botched ETL job is a ticking time bomb, nestled within the heart of your data infrastructure, waiting to detonate a whirlwind of inaccuracies and inconsistencies. Mastering ETL best practices can help you defuse this bomb if it already exists or allow you to avoid unknowingly placing it altogether. What’s ETL?

Data Cleanse 52

Data Cleanse ETL Tools Datasets High Quality Data 52

Data Engineering Podcast

OCTOBER 30, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Business Intelligence 130

Business Intelligence Metadata MongoDB MySQL 130

KDnuggets

MARCH 31, 2023

Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.

Data Pipeline 105

Data Pipeline Data Integration Data Data Engineering 105

Snowflake

FEBRUARY 21, 2024

MarketWise Solutions , the services division of MarketWise , joined the Hybrid Tables private preview and was impressed by how much it simplified ingest and export ETL workflows. But this is just the starting point for Hybrid Tables and Unistore —stay tuned as we expand to all Snowflake AWS regions and all cloud regions.

Government 92

Government AWS Data Architect Architecture 92

Cloudera

JUNE 26, 2023

For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. Spark is primarily used to create ETL workloads by data engineers and data scientists. Visit our Data and IT Leaders page to learn more.

ETL Tools 76

ETL Tools Programming Language Datasets Data Pipeline 76

KDnuggets

AUGUST 23, 2022

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects – Part 2 • Free AI for Beginners Course • Decision Tree Algorithm, Explained • What Does ETL Have to Do with Machine Learning?

Python 116

Python Algorithm Machine Learning Data Science 116

Data Engineering Podcast

NOVEMBER 4, 2021

A natural outgrowth of that capability is the more recent growth of reverse ETL systems that use those analytics to feed back into the operational systems used to engage with the customer. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. No more scripts, just SQL. When is a CDP the wrong choice?

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Christophe Blefari

SEPTEMBER 28, 2023

Historically, data pipelines were designed with an ETL approach, storage was expensive and we had to transform the data before using it. With the cloud, we got the—false—impression that resources were infinite and cheap, so we switched to ETL by pushing everything into a central data storage. Following an E(T)LT approach.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Christophe Blefari

APRIL 8, 2023

The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Which is easier to conceptually understand but also to use in machine learning. The machine learning is mainly in Python and uses PyTorch. Side node: Ben co-founded Popsink a real-time ETL company.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Which is easier to conceptually understand but also to use in machine learning. The machine learning is mainly in Python and uses PyTorch. Side node: Ben co-founded Popsink a real-time ETL company.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. This can involve SQL queries or ETL (Extract, Transform, Load) processes. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Ascend.io

SEPTEMBER 12, 2023

As businesses find themselves increasingly reliant on big data and analytics, the traditional process of data integration, primarily ETL (Extract, Transform, Load), can sometimes act as a bottleneck. Amazon Web Services (AWS) recognized this issue and unveiled the concept of zero ETL at re:Invent 2022. What Is Zero ETL?

Amazon Web Services 52

Amazon Web Services Data Warehouse MySQL AWS 52

Data Engineering Podcast

JANUARY 25, 2021

For each new source that they need to integrate with it is another custom set of ETL tasks that they need to maintain. Datadog provides customizable dashboards, log management, and machine-learning-based alerts in one fully-integrated platform so you can seamlessly navigate, pinpoint, and resolve performance issues in context.

Data Integration 100

Data Integration IT Python BI 100

Data Engineering Podcast

DECEMBER 4, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Visit dataengineeringpodcast.com/montecarlo to learn more. When is Zing the wrong choice?

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Data Engineering Podcast

FEBRUARY 13, 2022

To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows. Singer, Stitch, Fivetran) and reverse ETL (e.g.

Building 100

Building Hadoop Data Pipeline Metadata 100

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Transform before Load: The ETL process conforms data to the static, predefined warehouse schema.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Data Engineering Podcast

JANUARY 1, 2022

Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence, reducing time to detection and resolution from weeks or days to just minutes. Visit dataengineeringpodcast.com/montecarlo to learn more. Visit dataengineeringpodcast.com/montecarlo to learn more.

Data Warehouse 100

Data Warehouse Data Lake Hadoop SQL 100

Snowflake

DECEMBER 21, 2023

Patch enables software engineers to build highly scalable and performant production apps using Snowflake data, without ETL or changes to your existing infrastructure, and with no boilerplate code in the application. No ETL, no boilerplate database driver code, no raw SQL queries. Our team has a huge amount of experience in this area.

Software Engineer 86

Software Engineer Software Engineering Database Data Pipeline 86

Data Engineering Podcast

OCTOBER 16, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Database 100

Database Metadata MongoDB MySQL 100

Data Engineering Podcast

OCTOBER 2, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Metadata 100

Metadata Electronics MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. The Machine Learning Podcast helps you go from idea to production with machine learning.

Building 100

Building Metadata MongoDB MySQL 100

Knowledge Hut

OCTOBER 31, 2023

AWS Data Engineer vs Azure Data Engineer: Data Services AWS Data Engineer: AWS provides a variety of data services, including AWS Glue for ETL (Extract, Transform, Load) processes, Amazon Redshift for data warehousing, and AWS Kinesis for real-time data streaming. Learning one platform can make it easier to adapt to the other if needed.

AWS 52

AWS Data Engineering Data Engineer Engineering 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. Additionally, one should pay close attention to the vendor's machine learning capabilities for predictive analytics. One of the key benefits of using ETL on AWS is Scalability.

AWS 52

AWS Data Management ETL Tools Management 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. What is an ETL Developer? The purpose of ETL is to provide a centralized, consistent view of the data used for reporting and analysis.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

NOVEMBER 17, 2023

Tailor your learning and mastery based on the Azure services you'll be primarily working with and the requirements of your projects. Data Integration and ETL Tools As an Azure Data Engineer, master data integration and ETL tools crucial for seamless data processing. Gain proficiency and start producing right away.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

NOVEMBER 2, 2023

Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. ETL and ELT Operations Study the Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) methods for data integration on AWS. Aptitude for learning new big data techniques and technologies.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Knowledge Hut

SEPTEMBER 25, 2023

Let’s dive in and learn about Azure data engineer roles and responsibilities , to get a clearer picture of this career field. You can learn deeply about the Azure learning journey that leads to the position of an Azure Data Engineer Associate on the Microsoft Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

KDnuggets

APRIL 27, 2022

A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills.

Machine Learning 94

Machine Learning Coding Data Science SQL 94