Data Engineering Podcast

MAY 5, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

FEBRUARY 11, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. 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

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. Dagster offers a new approach to building and running data platforms and data pipelines.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

APRIL 14, 2024

Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Data lakes are notoriously complex.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Podcast

MARCH 31, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines. Dagster offers a new approach to building and running data platforms and data pipelines.

Project 130

Project Data Lake High Quality Data Data Workflow 130

Data Engineering Podcast

FEBRUARY 25, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!

Database 162

Database Technology Data Lake High Quality Data 162

Data Engineering Podcast

MARCH 17, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!

Database 147

Database Data Lake High Quality Data Data Workflow 147

Data Engineering Podcast

MARCH 10, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

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. Email hosts@dataengineeringpodcast.com ) with your story. Sponsored By: Starburst : !

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. Innovative CX Chief Customer Service Experience Officer Bob Azman puts it this way: “Everybody is collecting lots of data.

High Quality Data 104

High Quality Data Data Governance Government Banking 104

Cloudera

OCTOBER 5, 2023

However, many organizations either do not have data governance programs or the business participation an effective program requires. By using data mesh, you move true data ownership to the business units, which improves the quality. Data now becomes a product.

Data Governance 82

Data Governance Unstructured Data Government High Quality Data 82

Precisely

JANUARY 4, 2024

This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 70% who struggle to trust their data say data quality is the biggest issue.

Data Governance 73

Data Governance Government Data Integration Data 73

Precisely

JANUARY 16, 2024

To remain competitive, you must proactively and systematically pursue new ways to leverage data to your advantage. As the value of data reaches new highs, the fundamental rules that govern data-driven decision-making haven’t changed. To make good decisions, you need high-quality data.

Data Governance 67

Data Governance Government Metadata Data 67

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

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

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 98

Data Validation Process Raw Data Data Cleanse 98

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 52

Data Governance High Quality Data Government 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 52

Data Governance High Quality Data Government Data 52

Precisely

DECEMBER 21, 2022

Customers expect a seamless omnichannel experience, with quick and easy access to information tailored to their individual needs – and insurers who fail to deliver on that need will eventually find themselves falling behind. That can lead to a disconnect between business users, the data governance team, and executive management.

Insurance 52

Insurance Data Governance Healthcare High Quality Data 52

Databand.ai

AUGUST 30, 2023

Benefits of a Data Quality Strategy Implementing a robust data quality strategy offers numerous benefits that directly impact your business’s bottom line and overall success. Additionally, high-quality data reduces costly errors stemming from inaccurate information.

Building 52

Building Data Cleanse Data Governance Datasets 52

U-Next

FEBRUARY 27, 2023

Due to inconsistent dependencies, it may become difficult for you to access certain data because the path you would follow to find them may be incomplete or damaged, making them difficult to access. What Is the Need for Data Normalization? Now, let’s understand why data normalization is important.

IT 98

IT Bytes Database Recruitment 98

U-Next

MARCH 7, 2023

Due to inconsistent dependencies, it may become difficult for you to access certain data because the path you would follow to find them may be incomplete or damaged, making them difficult to access. What Is the Need for Data Normalization? Now, let’s understand why data normalization is important.

IT 98

IT Bytes Database Recruitment 98

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

U-Next

SEPTEMBER 7, 2022

A firm can benefit immensely from maintaining accurate and clean employee data, as it is still a difficult task. . Access to employee data and information is essential for efficient staff management. Database software management is virtually always more accessible, secure, effective, and sustainable. .

Data Management 52

Data Management Management Electronics Unstructured Data 52

Precisely

JANUARY 11, 2023

To remain competitive, you must proactively and systematically pursue new ways to leverage data to your advantage. As the value of data reaches new highs, the fundamental rules that govern data-driven decision-making haven’t changed. To make good decisions, you need high-quality data.

Data Governance 52

Data Governance Government Metadata Data 52

Cloudera

SEPTEMBER 20, 2022

I’m for them because I believe they have the potential to make creating art more accessible. In particular, I selfishly want creating art to be more accessible to me, but I also want to make it more accessible for others. Developing the artistic skills to render an image in a desired quality is not a trivial undertaking.

Deep Learning 87

Deep Learning High Quality Data Telecommunication Systems 87

Monte Carlo

AUGUST 9, 2023

Let’s say you were querying the impact of a marketing program on sales lift by region, but the ‘region’ field was left blank on multiple records. Any rows where ‘region’ was missing would necessarily be excluded from your report, leading to inefficient future spend on regional marketing programs.

Finance 52

Finance High Quality Data SQL Data 52

Knowledge Hut

JANUARY 24, 2024

A data scientist is a professional who is proficient in the extraction of meaningful insights and knowledge from large volumes of data. These individuals possess a unique skill set that combines expertise in statistics, mathematics, programming, and domain-specific knowledge. How Do Data Scientists Work With Data?

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Monte Carlo

JANUARY 23, 2024

As the machine became smarter with the next generation of data access, we flattened everything to features and columns. So when we go back to trust and knowing, we have to break that down and understand why people don’t trust their data.” For Max, building trust in AI and data both tie back to metadata.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Monte Carlo

AUGUST 31, 2023

Your downstream data consumers including product analysts, marketing leaders, and sales teams rely on data-driven tools like CRMs, CXPs, CMSs, and any other acronym under the sun to do their jobs quickly and effectively. But what happens when the data is wrong?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Monte Carlo

FEBRUARY 20, 2024

Choosing one tool over another isn’t just about the features it offers today; it’s a bet on the future of how data will flow within organizations. Ease of Use : Features a user-friendly web UI for configuring and managing data pipelines, making it accessible to users without deep technical expertise.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

NOVEMBER 20, 2023

Future iterations of generative AI promise substantially greater performance and an ever-expanding, ever-improving menu of alternatives for exploiting firm data to create a competitive advantage. Operators occasionally need specialized hardware to access these AI capabilities.

Transportation 52

Transportation Manufacturing Utilities Machine Learning 52

Knowledge Hut

JULY 7, 2023

Software engineering, in general, is a dynamic and rapidly changing field that demands a thorough understanding of concepts related to programming, computer science, and mathematics. Overall, software quality research is a large and interdisciplinary field that combines computer science, engineering, and statistics.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Edureka

FEBRUARY 27, 2023

Self-service BI tools are becoming more popular as they allow users to access and analyze data without needing assistance from IT or a data analyst. Mobile BI is another growing trend as more people use mobile devices to access information. Secondly, BI requires access to high-quality data sources.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Monte Carlo

APRIL 26, 2022

Similarly, the discipline of DataOps helps teams remove silos and work more efficiently to deliver high-quality data products across the organization. DataOps professionals also leverage observability to decrease downtime as companies begint o ingest large amounts of data from various sources.

IT 64

IT Data Pipeline Data Engineering Data Engineer 64

Edureka

FEBRUARY 7, 2023

They should also be proficient in programming languages such as Python , SQL , and Scala , and be familiar with big data technologies such as HDFS , Spark , and Hive. A degree program can provide individuals with a strong foundation in programming languages, data management, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52