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

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

JANUARY 10, 2024

On the other hand, “Can the marketing team easily segment the customer data for targeted communications?” usability) would be about extrinsic data quality. In this article, we present six intrinsic data quality techniques that serve as both compass and map in the quest to refine the inner beauty of your data.

Data Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 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

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

Databand.ai

AUGUST 30, 2023

Data Accuracy vs Data Integrity: Key Similarities Contribution to Data Quality Data accuracy and data integrity are both essential components of data quality. As mentioned earlier, data quality encompasses a range of attributes, including accuracy, consistency, completeness, and timeliness.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Precisely

FEBRUARY 23, 2024

Their ability to generate business value is directly related to the quality of their data, however. Unless they have high-quality data, business users simply cannot deliver optimal results. It’s ultimately aimed at ensuring that data is accurate, consistent, and fully contextual.

Insurance 64

Insurance Data Validation Government High Quality Data 64

Monte Carlo

JANUARY 3, 2024

This is a widely shared sentiment across many data leaders I speak to. If the data team has suddenly surfaced customer-facing, secure data, then they’re on the hook. Data governance is a massive consideration and it’s a high bar to clear. And, invest in a modern data stack. It’s 2024 now.

Technology 113

Technology Database Data Governance Data Engineering 113

Precisely

JULY 27, 2023

It is unsurprising that 71% of respondents report that their organizations spend 25% or more of their work time preparing data for reporting and decision-making. While data quality and data governance policies and software can address these issues, making those investments requires an organizational commitment to data quality.

Data Programming 52

Data Programming Programming High Quality Data Data Integration 52

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

Precisely

MARCH 23, 2023

Is your company making commitments to environmental, social, and governance (ESG) efforts? How are you quantifying those results, and can you make sure you have the most accurate and current data? In summary: your ESG data needs data integrity. The stakes are high and there isn’t a tolerance for error.

Data Integration 52

Data Integration Government High Quality Data Data 52

Ascend.io

JANUARY 10, 2024

AI models are only as good as the data they consume, making continuous data readiness crucial. Here are the key processes that need to be in place to guarantee consistently high-quality data for AI models: Data Availability: Establish a process to regularly check on data availability.

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders. Strong analytical and technical skills to address sophisticated issues.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Monte Carlo

JULY 11, 2023

Data accuracy vs. data quality Data accuracy and data quality are related concepts but they are not synonymous. While accurate data is free from errors or mistakes, high-quality data goes beyond accuracy to encompass additional aspects that contribute to its overall value and usefulness.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

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.

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Manufacturing Retail High Quality Data Algorithm 92

Precisely

MARCH 14, 2023

Read Quality data you can depend on – today, tomorrow, and beyond For many years Precisely customers have ensured the accuracy of data across their organizations by leveraging our leading data solutions including Trillium Quality, Spectrum Quality, and Data360 DQ+. What does all this mean for your business?

Data Integration 52

Data Integration High Quality Data BI Data 52

Monte Carlo

FEBRUARY 21, 2023

By its very nature, data fabric is intended to integrate easily with various platforms and tools, and this flexibility makes the architecture inherently scalable. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

By its very nature, data fabric is intended to integrate easily with various platforms and tools, and this flexibility makes the architecture inherently scalable. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Precisely

JANUARY 22, 2024

The challenge is that many businesses struggle to turn their data into usable assets for CX applications. According to Corinium, only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX.

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Data Engineering Podcast

MAY 18, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Building 264

Building Data Lake High Quality Data Business Intelligence 264

Monte Carlo

JUNE 16, 2023

Impact Now that you understand the purpose of data integrity and data quality, what is their impact on data management and decision-making? The impact of data integrity is profound, particularly when it comes to governance and compliance.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Knowledge Hut

APRIL 23, 2024

Implement measures to validate and verify the accuracy, completeness, and trustworthiness of the data you utilize. Incorporate practices such as data governance, cleansing, and quality control to ensure high-quality data for analysis.

Big Data 52

Big Data Media Datasets Unstructured Data 52

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

MAY 12, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Management 147

Management Data Lake High Quality Data Machine Learning 147

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

Data Engineering Podcast

FEBRUARY 18, 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 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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

Confluent

JUNE 29, 2022

As data grows in volume and velocity, real-time data quality is more crucial than ever. Confluent's Stream Quality features ensure seamless, high quality data streaming between all your services.

High Quality Data 57

High Quality Data Kafka Data Data Governance 57

Data Engineering Podcast

MAY 5, 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.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

MARCH 24, 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 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Podcast

APRIL 28, 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.

Building 147

Building Data Lake High Quality Data Machine Learning 147

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

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

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

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. What are the technical capabilities that need to be present for an effective data sharing solution? 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. Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Starburst : ![Starburst

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

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. How does that influence the architectural design/capabilities for data platforms in those organizations? Data governance is a notoriously challenging problem.

Designing 130

Designing Data Lake High Quality Data SQL 130