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?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 130

Data Engineering Data Engineer Engineering Project 130

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan. They manage data storage and the ETL process. However, with appropriate skills, it may go as high as $108,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Data Engineering Podcast

NOVEMBER 13, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

APRIL 26, 2021

Summary The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used methods of access is through a business intelligence dashboard. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Data Engineering Podcast

OCTOBER 22, 2021

Summary The market for business intelligence has been going through an evolutionary shift in recent years. Lightdash has fully embraced that shift by building an entire open source business intelligence framework that is powered by dbt models. Get started for free at dataengineeringpodcast.com/hightouch.

Engineering 100

Engineering Business Intelligence BI Data Warehouse 100

Data Engineering Podcast

NOVEMBER 6, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Building 130

Building IT Metadata MongoDB 130

Team Data Science

NOVEMBER 4, 2020

After the boot camp, as I was searching for Data Science opportunities in the industry, I noticed the requirements for a Data Scientist has changed from what it was 2-3 years ago. My goal for this course is to create a complete end-to-end data pipeline for an application that is time series related.

Data Science 130

Data Science Machine Learning Programming Language Business Intelligence 130

RandomTrees

FEBRUARY 2, 2024

GPT-Based Data Engineering Accelerators: Given below is the list of some of the GPT-based data engineering accelerators. 1. DataGPT OpenAI developed DataGpt for performing data engineering tasks. Datagpt creates code for data pipelines and transformations.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Monte Carlo

JUNE 6, 2023

People that are not proficient in SQL and business intelligence will no longer need to ask an analyst or analytics engineer to create a dashboard for them. Simultaneously, those who are proficient will be able to answer their own questions and build data products quicker and more efficiently.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

Data Engineering Podcast

JULY 17, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Tired of deploying bad data? Tired of deploying bad data?

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

OCTOBER 16, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Database 100

Database Metadata MongoDB MySQL 100

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer in the Data Science team is responsible for this sort of data manipulation. Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Engineering Podcast

OCTOBER 2, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata Electronics MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 4, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Go to dataengineeringpodcast.com/montecarlo and start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence Business Intelligence is an intrinsic element of modern business. By referring to the following books, you will learn about various BI tools and operations like creating reports, tracking performance, managing data sources, etc.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

JULY 10, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Tired of deploying bad data? Tired of deploying bad data?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

APRIL 16, 2023

Sign up free at dataengineeringpodcast.com/rudderstack Your host is Tobias Macey and today I'm interviewing Paul Blankley and Ryan Janssen about Zenlytic, a no-code business intelligence tool focused on emerging commerce brands Interview Introduction How did you get involved in the area of data management?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

JUNE 12, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

OCTOBER 9, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata AWS MongoDB MySQL 100

Data Engineering Podcast

JUNE 19, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Confluent

DECEMBER 31, 1969

Learn to leverage Confluent for real-time business intelligence, build streaming data pipelines in minutes, meet with industry Kafka leaders, and end the night with DJ’s and dancing.

AWS 62

AWS Business Intelligence Kafka Data Pipeline 62

Databand.ai

JULY 17, 2023

The main objectives of DataOps include: Collaboration: Facilitating better communication between different teams involved in the data pipeline such as engineers, analysts, scientists, and business stakeholders.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52

Data Engineering Podcast

AUGUST 21, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Data Engineering Podcast

JULY 3, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Tired of deploying bad data? Tired of deploying bad data?

Architecture 100

Architecture Metadata MongoDB MySQL 100

DataKitchen

FEBRUARY 18, 2022

It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

High Quality Data 52

High Quality Data Business Intelligence Data Pipeline Government 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 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. This unchanging schema forms the foundation for all queries and business intelligence.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Monte Carlo

APRIL 29, 2021

Simultaneously, Monte Carlo provides CDOs and other data stakeholders with a holistic view of their company’s data health and reliability across critical business use cases. We are delighted to partner with Monte Carlo for their data observability capabilities,” said Tarik Dwiek, Director of Technology Alliances at Snowflake.

Insurance 52

Insurance Business Intelligence Data Pipeline Data Governance 52

Data Engineering Podcast

DECEMBER 11, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

Data Engineering Podcast

DECEMBER 4, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Scott Logic

APRIL 22, 2024

Predictive BI insights with Amazon QuickSight Amazon QuickSight is AWS’s offering in the business intelligence dashboard space. This might seem an administrative nuisance, but does enable companies to place sensible restrictions on what users are able to do.

BI 97

BI Software Engineer Software Engineering Algorithm 97

Data Engineering Podcast

AUGUST 28, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Podcast

MAY 15, 2022

Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box.

Data Lake 100

Data Lake Building BI Architecture 100