Cloudera

MAY 18, 2022

No AI-first strategy can truly succeed without a well-defined data management strategy. Those algorithms require high quality data to deliver meaningful results. Data, whether structured, unstructured, or partly structured, comes in from various sources and needs to be sorted and analyzed with a data management platform.

Manufacturing 95

Manufacturing Retail High Quality Data Algorithm 95

DataKitchen

FEBRUARY 18, 2022

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels.

High Quality Data 52

High Quality Data Business Intelligence Data Pipeline Government 52

Databand.ai

JULY 5, 2023

Data catalog and lineage tools: These tools provide visibility into data lineage by tracking the origin, transformation, and consumption of data across the data pipeline. They help organizations understand the dependencies between data sources, processes, and systems, enabling better data governance and impact analysis.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. Data quality has broad applications across industries, but its importance and degree of quality required is also contextual to the use case.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Data Engineering Podcast

APRIL 21, 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 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Monte Carlo

AUGUST 31, 2023

Not long after data warehouses moved to the cloud, so too did data lakes (a place to transform and store unstructured data), giving data teams even greater flexibility when it comes to managing their data assets. As data becomes more and more foundational to business, data teams will only grow.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Data Engineering Podcast

APRIL 14, 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.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Data Engineering Podcast

FEBRUARY 25, 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.

Database 162

Database Technology Data Lake High Quality Data 162

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Ingestion 40

Data Ingestion Data Government Datasets 40

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

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

Cloudera

OCTOBER 5, 2023

Your organization is not alone — many organizations struggle to move towards data as the cornerstone of their organization. Here are five challenges that you need to overcome to become a data leader: Bad data governance Your insights are only as good as your data. Ready to become a true data leader?

Data Governance 83

Data Governance Unstructured Data Government High Quality Data 83

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

NOVEMBER 13, 2022

It moved from the speculation to the data engineers understanding the benefit of it and asking when we can get the implementation soon. I met many data leaders about Data Contracts, my project Schemata, and how the extended version we are building can help them create high-quality data.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Databand.ai

JANUARY 24, 2023

As a result, DataOps observability is an essential part of maintaining high quality data and ensuring that data practices are as efficient and effective as possible. Who’s Involved in a DataOps Team? There are several roles that might be involved in a DataOps team in any given organization.

Retail 52

Retail Banking Government Manufacturing 52

Monte Carlo

APRIL 1, 2021

Unfortunately, with COVID, you really could see that people don’t understand where the data comes from and what it means. You build trust when people understand where the data comes from, and when they understand that even high-quality data will never be perfectly clean. Follow her on Twitter or LinkedIn !

Building 52

Building BI Business Intelligence Data 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Keeping these revenue generators online and accurate is a common data observability use case. It was very time-consuming.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Keeping these revenue generators online and accurate is a common data observability use case. It was very time-consuming.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52