Data Engineering Podcast

APRIL 29, 2018

Summary Business Intelligence software is often cumbersome and requires specialized knowledge of the tools and data to be able to ask and answer questions about the state of the organization. The current goal for most companies is to be “data driven” How would you define that concept?

Business Intelligence 100

Business Intelligence Scala Hadoop Machine Learning 100

Data Engineering Podcast

NOVEMBER 4, 2018

Summary Business intelligence is a necessity for any organization that wants to be able to make informed decisions based on the data that they collect. Unfortunately, it is common for different portions of the business to build their reports with different assumptions, leading to conflicting views and poor choices.

Business Intelligence 100

Business Intelligence Hadoop BI Data Warehouse 100

Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

NOVEMBER 16, 2020

Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often takes the form of business intelligence dashboards, machine learning models, or APIs on top of a cleaned and curated data set. What is the story behind the name?

Data Management 100

Data Management Management BI Business Intelligence 100

Snowflake

MAY 24, 2024

The Omni Platform expands the analytics capabilities of the AI Data Cloud and allows customers to extract more value from their data, faster. Omni combines the flexibility and speed of modern business intelligence (BI) and embedded analytics with the governance and consistency of traditional data modeling tools.

Business Intelligence 64

Business Intelligence BI Government SQL 64

Knowledge Hut

JUNE 28, 2023

Experience the power of Business Intelligence, a tech-driven methodology to gather, analyze, and present business data. This process helps showcase data in a user-friendly way with the help of reports, charts, or graphs. You will get flooded with options If you look for business intelligence analyst jobs near you.

Business Intelligence 52

Business Intelligence BI Raw Data Education 52

Data Engineering Podcast

SEPTEMBER 3, 2018

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Business Intelligence Big Data Architecture 160

Edureka

SEPTEMBER 11, 2023

Businesses have more data than ever, including how customers interact with them and what they do on social media, as well as how much inventory they have and how much money they make. In this situation, Business Intelligence (BI) platforms become an important way to make sense of all this data.

Business Intelligence 52

Business Intelligence BI Database-centric Raw Data 52

Knowledge Hut

JANUARY 19, 2024

The key has the right tools, starting with knowing what data is important for your business. Business intelligence (BI) and business analytics (BA) are two terms that are often used interchangeably, but there is some important difference between business intelligence and business analytics.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

Knowledge Hut

DECEMBER 26, 2023

The strategic, tactical, and operational business decisions of a company are directly impacted by Business intelligence. BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. What is Business Intelligence (BI)?

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

JUNE 28, 2023

The work of business intelligence analysts holds the key to such a solution. These experts are essential in today's data-driven world for assisting businesses in making wise decisions and remaining competitive. Who is a Business intelligence Analyst and what do they do?

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

Striim

APRIL 18, 2025

But theyre only as good as the data they rely on. If the underlying data is incomplete, inconsistent, or delayed, even the most advanced AI models and business intelligence systems will produce unreliable insights. Heres why: AI Models Require Clean Data: Machine learning models are only as good as their training data.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

Data Engineering Podcast

FEBRUARY 5, 2023

Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? What do you have planned for the future of the podcast?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Data Engineering Podcast

DECEMBER 18, 2022

In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing these constraints to your data workflows. Can you describe what your conception of a data contract is? Closing Announcements Thank you for listening!

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

DECEMBER 29, 2022

In this episode she shares the strategic and tactical elements of how to make more effective use of the technical and organizational resources that are available to you for getting work done with data. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Management 130

Management Metadata Business Intelligence Data Lake 130

Snowflake

NOVEMBER 11, 2024

Internally, banks are using AI to reduce the burden of data management, including data lineage and data quality controls, or drive efficiencies with business intelligence particularly in call centers. Commercially, we heard AI use cases around treasury services, fraud detection and risk analytics.

Banking 98

Banking Finance Retail Food 98

Edureka

APRIL 14, 2025

This blog breaks down how these tools complement and differ from one another to help you identify the best fit for your business. Understanding the Tools One platform is designed primarily for business intelligence, offering intuitive ways to connect to various data sources, build interactive dashboards, and share insights.

BI 40

BI Business Intelligence Raw Data Retail 40

Data Engineering Podcast

JUNE 22, 2020

Summary The majority of analytics platforms are focused on use internal to an organization by business stakeholders. As the availability of data increases and overall literacy in how to interpret it and take action improves there is a growing need to bring business intelligence use cases to a broader audience.

Business Intelligence 100

Business Intelligence Data Engineering Data Engineer SQL 100

Data Engineering Podcast

JANUARY 8, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data and analytics leaders, 2023 is your year to sharpen your leadership skills, refine your strategies and lead with purpose. Can you describe what the SQLake product is and the story behind it?

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

JANUARY 15, 2023

In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Your flagship (only?) What is the scope and goal of that platform?

Coding 130

Coding Building PostgreSQL Data Lake 130

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. Can you describe what Lightdash is and the story behind it?

Engineering 100

Engineering Business Intelligence Data Warehouse BI 100

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. Superset is becoming part of the reference architecture for a modern data stack.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Data Engineering Podcast

AUGUST 13, 2023

Summary Data pipelines are the core of every data product, ML model, and business intelligence dashboard. The folks at Rivery distilled the seven principles of modern data pipelines that will help you stay out of trouble and be productive with your data. Closing Announcements Thank you for listening!

Data Pipeline 130

Data Pipeline BI SQL Machine Learning 130

Data Engineering Podcast

NOVEMBER 13, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 130

Building Metadata MongoDB MySQL 130

Ascend.io

OCTOBER 28, 2024

Data Aggregation Data aggregation is a powerful technique that involves compiling data from various sources to provide a comprehensive view. This process is crucial for generating summary statistics, such as averages, sums, and counts, which are essential for business intelligence and analytics.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Snowflake

SEPTEMBER 7, 2023

Siloed departmental data with no single source of truth Without a single source of truth, version control and data management were complicated. And these data silos were creating a negative view of data. Beyond data accessibility issues, the university was also concerned about data growth.

Education 105

Education Professional Services Business Intelligence Cloud 105

Data Engineering Podcast

NOVEMBER 4, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Data Engineering Podcast

DECEMBER 21, 2020

If you are starting down the path of implementing a data governance strategy then this episode will provide a great overview of what is involved. If you hand a book to a new data engineer, what wisdom would you add to it? What is data governance? If you hand a book to a new data engineer, what wisdom would you add to it?

Data Governance 130

Data Governance Government Data Lake Banking 130

Data Engineering Podcast

JUNE 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. What are some of the core challenges of working with spatial data? What do you have planned for the future of Unfolded?

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

NOVEMBER 6, 2022

He also describes the considerations involved in bringing behavioral data into your systems, and the ways that he and the rest of the Snowplow team are working to make that an easy addition to your platforms. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

NOVEMBER 27, 2022

In this episode Wes McKinney shares the ways that Arrow and its related projects are improving the efficiency of data systems and driving their next stage of evolution. Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines.

Data Process 100

Data Process Process Metadata Business Intelligence 100

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team.

Data Governance 130

Data Governance Government Banking Business Intelligence 130