Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

FEBRUARY 11, 2024

In this episode Andrew Jefferson explains the complexities of building a robust system for data sharing, the techno-social considerations, and how the Bobsled platform that he is building aims to simplify the process. How does that change as a function of the type of data? tabular, image, etc.)

Data Lake 147

Data Lake High Quality Data Government Data Pipeline 147

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. Can you describe what RisingWave is and the story behind it? Starburst : ![Starburst

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. What kind of back-end process can we institute to answer ‘what-if’ questions faster?”. “My

Process 98

Process Data Process Pharmaceutical Data Lake 98

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

DECEMBER 24, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Data Engineering Podcast

MARCH 3, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. Data lakes are notoriously complex.

Database 147

Database Data Lake High Quality Data Data Workflow 147

Data Engineering Podcast

MARCH 31, 2024

Summary Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. Go to [dagster.io]([link] today to get your first 30 days free!

Project 130

Project Data Lake High Quality Data Data Workflow 130

Data Engineering Podcast

FEBRUARY 25, 2024

When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process. Data lakes are notoriously complex. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Database 162

Database Technology Data Lake High Quality Data 162

Snowflake

APRIL 11, 2024

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

SQL 137

SQL AWS Data Analysis High Quality Data 137

Data Engineering Podcast

MARCH 10, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Data Engineering Podcast

DECEMBER 31, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What are the business-level capabilities that are dependent on this data? What does a typical build vs. buy decision process look like?

Designing 130

Designing Data Lake High Quality Data SQL 130

Data Engineering Podcast

FEBRUARY 20, 2022

With Bigeye’s data observability platform, if there is an issue with your data or data pipelines you’ll know right away and can get it fixed before the business is impacted. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders.

Python 100

Python Data Process IT Building 100

Data Engineering Podcast

DECEMBER 17, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

Data Engineering Podcast

NOVEMBER 19, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Project 147

Project Data Lake High Quality Data SQL 147

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. Specifics of data used in NLP. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life. Main NLP use cases.

Process 139

Process Deep Learning Datasets Machine Learning 139

Data Engineering Podcast

DECEMBER 3, 2023

Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Sponsored By: Starburst : ![Starburst

Systems 130

Systems Designing Data Lake SQL 130

Data Engineering Podcast

NOVEMBER 5, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

PostgreSQL 147

PostgreSQL Data Lake High Quality Data SQL 147

Data Engineering Podcast

DECEMBER 10, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI. Here are some examples for each subsector.

Healthcare 84

Healthcare Unstructured Data High Quality Data Medical 84

Data Engineering Podcast

NOVEMBER 12, 2023

If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex. Paola Graziano by The Freak Fandango Orchestra / CC BY-SA 3.0 Datafold : ![Datafold]([link]

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

Snowflake

MAY 14, 2024

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.”

Pharmaceutical 78

Pharmaceutical IT Hospitality Data 78

Monte Carlo

OCTOBER 16, 2023

Mutual customers like ThredUp, Abacus Medicine, Comcast, and BairesDev that use Databricks to derive critical insights, build ML models, and launch generative AI initiatives can now more easily access the power of automatic, end-to-end coverage and advanced incident resolution features to mitigate the negative impacts of bad data with Monte Carlo.

High Quality Data 52

High Quality Data SQL Accessible Accessibility 52

Striim

APRIL 30, 2024

The transition involved moving from a traditional, batch-load dependent data warehousing approach to a more dynamic, cloud-based infrastructure, which encompassed their e-business platform and analytics powered by BigQuery. Striim’s platform provided a developer-friendly environment and stability across Kramp’s data operations.

Google Cloud 52

Google Cloud High Quality Data Business Intelligence Data Warehouse 52

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Monte Carlo

FEBRUARY 27, 2024

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide. Ready to become a true data leader?

Data Governance 82

Data Governance Unstructured Data Government High Quality Data 82

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data Schemas 52

Monte Carlo

DECEMBER 22, 2023

Obviously data is a MASSIVE piece of the GenAI puzzle. The moral of this story: data quality will become an essential consideration for generative AI. Organizing Generative AI: 5 Lessons Learned From Data Science Teams So, your business leadership is all in on generative AI?

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Data Engineering Weekly

APRIL 14, 2024

Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions. Large Language Models: Turning messy data into surprisingly coherent nonsense since 2023. High-quality data is the cornerstone of LLM.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Knowledge Hut

APRIL 23, 2024

These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data. Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Databand.ai

AUGUST 30, 2023

It plays a critical role in ensuring that users of the data can trust the information they are accessing. There are several ways to ensure data consistency, including implementing data validation rules, using data standardization techniques, and employing data synchronization processes.

Data Integration 52

Data Integration Data Cleanse Data Validation High Quality Data 52

The Modern Data Company

JULY 18, 2023

It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.

Data Governance 69

Data Governance High Quality Data Government Data 69

Monte Carlo

DECEMBER 22, 2023

Obviously data is a MASSIVE piece of the GenAI puzzle. The moral of this story: data quality will become an essential consideration for generative AI. Organizing Generative AI: 5 Lessons Learned From Data Science Teams So, your business leadership is all in on generative AI?

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Precisely

MARCH 4, 2024

Let’s explore how to harness the full potential of AI technologies by making your data AI-ready. The Risks of Rushing Without Readiness The power of AI isn’t just in its ability to process information at an unprecedented scale but in doing so with accuracy and integrity that you can rely on.

Amazon Web Services 70

Amazon Web Services Data Integration High Quality Data Government 70

Databand.ai

AUGUST 30, 2023

Data quality monitoring refers to the assessment, measurement, and management of an organization’s data in terms of accuracy, consistency, and reliability. It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52