datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

Data Collection 128

Data Collection Data Quality Big Data Data-driven 128

Octopai

APRIL 19, 2021

He is the President of Knowledge Integrity, Inc and an expert in master data management, data quality, and business intelligence. His articles on TDWI deal with advice for analysts, customer data profiling, master data management technology, and machine learning. . It is published by Robert S.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. Data quality checks When the files land in the processing zone, the Step Functions workflow invokes another Lambda function that converts the raw files to CSV format followed by stringent data quality checks.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

erwin

JANUARY 23, 2025

Data intelligence software is continuously evolving to enable organizations to efficiently and effectively advance new data initiatives. With a variety of providers and offerings addressing data intelligence and governance needs, it can be easy to feel overwhelmed in selecting the right solution for your enterprise.

Metadata 52

Metadata Data Quality Data Governance Software 52

Cloudera

MARCH 3, 2022

The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

datapine

APRIL 15, 2020

You will need to continually return to your business dashboard to make sure that it’s working, the data is accurate and it’s still answering the right questions in the most effective way. Testing will eliminate lots of data quality challenges and bring a test-first approach through your agile cycle.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

JULY 25, 2024

This blog post is co-written with Raj Samineni from ATPCO. In today’s data-driven world, companies across industries recognize the immense value of data in making decisions, driving innovation, and building new products to serve their customers. Publish data assets. Create and configure an Amazon DataZone domain.

Data Lake 116

Data Lake Metadata Sales Publishing 116

IBM Big Data Hub

MARCH 25, 2022

Automated data enrichment : To create the knowledge catalog, you need automated data stewardship services. These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

DataKitchen

APRIL 26, 2021

At Workiva, they recognized that they are only as good as their data, so they centered their initial DataOps efforts around lowering errors. Hodges commented, “Our first focus was to up our game around data quality and lowering errors in production. Organizations should be optimizing and driving their data teams with data.” .

Measurement 246

Measurement Metrics Data-driven Dashboards 246

erwin

MARCH 30, 2020

As a result, the data may be compromised, rendering faulty analyses and insights. To marry the epidemiological data to the population data it will require a tremendous amount of data intelligence about the: Source of the data; Currency of the data; Quality of the data; and.

Metadata 122

Metadata IT Data Governance Data Quality 122

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. All the code, Talend job, and the BI report are version controlled using Git.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

SEPTEMBER 1, 2023

Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities. In a recent blog post, Sun described how Microsoft researchers conducted experiments to compare the performance of different AI models for use in Dynamics 365.

IT 105

IT Forecasting Reporting Data Quality 105

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Smarten

DECEMBER 17, 2024

According to a recent TechJury survey: Data analytics makes decision-making 5x faster for businesses. The top three business intelligence trends are data visualization, data quality management, and self-service business intelligence (BI). 7 out of 10 business rate data discovery as very important.

Reporting 52

Reporting Key Performance Indicator KPI Business Intelligence 52

Jedox

NOVEMBER 19, 2020

In this blog we take a closer look at the recently published BARC study “Sound Decisions in Dynamic Times.” The improvement in data quality follows with 53%. This finding is in line with what US-based FP&A expert Brian Kalish recently stated in his guest blog on data analysis : Data is abundant.

Forecasting 89

Forecasting Reporting Data Quality Marketing 89

datapine

MAY 31, 2022

In fact, the Foundry’s recently published Cloud Computing Study (2022) found that 84% of organizations have at least one application, or a portion of their computing infrastructure already in the cloud. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 87

Data Quality Data Lake Data Warehouse Data-driven 87

erwin

JULY 12, 2019

It also helps enterprises put these strategic capabilities into action by: Understanding their business, technology and data architectures and their inter-relationships, aligning them with their goals and defining the people, processes and technologies required to achieve compliance.

Data Governance 110

Data Governance Management Metadata Risk Management 110

AWS Big Data

DECEMBER 4, 2024

These formats, exemplified by Apache Iceberg, Apache Hudi, and Delta Lake, addresses persistent challenges in traditional data lake structures by offering an advanced combination of flexibility, performance, and governance capabilities. Auto generated keys Traditionally, Hudi required explicit configuration of primary keys for every table.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

DataKitchen

FEBRUARY 21, 2023

If he is to take Gartner’s advice to heart, Marcus will have to add a set of tasks to his team’s daily data engineering tasks. When these enablers are implemented, such as through DataKitchen products, teams will work faster, produce higher-quality results, and will be happier. Learn More Implement DataOps Data Engineering yourself.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

AWS Big Data

DECEMBER 9, 2024

Given the importance of data in the world today, organizations face the dual challenges of managing large-scale, continuously incoming data while vetting its quality and reliability. AWS Glue is a serverless data integration service that you can use to effectively monitor and manage data quality through AWS Glue Data Quality.

Data Quality 126

Data Quality Publishing Snapshot Data Lake 126

DataKitchen

MARCH 16, 2023

What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. For example, Gartner’s DataOps metrics can be categorized into Velocity, Efficiency, and Quality.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

IBM Big Data Hub

APRIL 27, 2022

Since its uniquely metadata-driven, the abstraction layer of a data fabric makes it easier to model, integrate and query any data sources, build data pipelines, and integrate data in real-time. This improves data engineering productivity and time-to-value for data consumers. What’s a data mesh?

Management 79

Management Metadata Data Architecture Data Lake 79

Andrew White

DECEMBER 4, 2019

If you read my blog regularly then you know I rarely write about IT vendors. If I am moved to write research about a vendor, I’ll write it and publish it behind our pay wall, in the assumption the advice is valuable. This acquisition followed another with Mulesoft, a data integration vendor. That’s the way it is.

Digital Transformation 64

Digital Transformation Data Quality Data Integration Data Warehouse 64

Cloudera

SEPTEMBER 9, 2022

As a data analyst or data scientist, we would all love to be able to do all these things, and much more. This is the promise of the modern data lakehouse architecture. Schema evolution: With fast-moving data and real-time data ingestion, we need new ways to keep up with data quality, consistency, accuracy, and overall integrity.

Metadata 102

Metadata Machine Learning Unstructured Data Data Lake 102

Cloudera

MARCH 14, 2023

Data quality issue? Good luck auditing data lineage and definitions where policies were never enforced. The new DataFlow Designer is more than just a new UI — it is a paradigm shift in the process of data flow development. Security breach? Massive cloud consumption bill you can’t account for?

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

erwin

AUGUST 31, 2023

Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

AUGUST 17, 2022

Data governance policy should be owned by the top of the organization so data governance is given appropriate attention — including defining what’s a potential risk and what is poor data quality.” It comes down to the question: What is the value of your data? Subscribe to Alation's Blog.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Occam's Razor

JULY 24, 2008

If you are an Analyst or a Marketer or a Website Owner or a Website User it is critical that you read this short blog post – your data will make so much more sense after are done. Email providers like hotmail (! :) or gmail.com, ecommerce websites like amazon.com or crutchfield.com, banks, even blogging platforms!

Analytics 111

Analytics Key Performance Indicator Measurement Metrics 111

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

erwin

APRIL 16, 2024

The data mesh approach distributes data ownership and decentralizes data architecture, paving the way for enhanced agility and scalability. With distributed ownership there is a need for effective governance to ensure the success of any data initiative. Business Glossaries – what is the business meaning of our data?

Metadata 52

Metadata Data Quality Data Governance Modeling 52

DataRobot

AUGUST 18, 2021

Along with raw data entries in these statements, additional financial ratios such as year-on-year changes in return on assets or book-to-market value are useful machine learning features as well. The dataset used in the following example was published in the Journal of Accounting Research. See DataRobot in Action. Request a Demo.

Machine Learning 52

Machine Learning Data Quality Modeling Sales 52

IBM Big Data Hub

JULY 28, 2022

This feature significantly increases the productivity of the data stewards who provide business context to data by ensuring data quality, usefulness and protection for broader consumption. The post Metadata enrichment – highly scalable data classification and data discovery appeared first on Journey to AI Blog.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Cloudera

JULY 29, 2024

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs.

Enterprise 69

Enterprise Data Architecture Manufacturing Key Performance Indicator 69