IBM Big Data Hub

MAY 9, 2022

Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. Poor data quality costs organizations an average of $12.9 million each year [1] and $1.2 28, 2021. [2].

Management 56

Management Data Quality Metadata Data Integration 56

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The other 96% of data in the catalog has little meaning to them.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 81

Data Warehouse Cost-Benefit Metadata Data-driven 81

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Insurance 115

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. The Data Science teams also use this data for churn prediction and CLTV modeling. Given that the only source to access all raw data is by exporting it to BigQuery (first), data accessibility becomes challenging if BigQuery isn’t your DWH solution.

Analytics 56

Analytics Data Lake Testing Optimization 56

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Data Governance 134

Data Governance Metadata Testing Reporting 134

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback.

Metadata 76

Metadata Data Warehouse Snapshot Data Quality 76

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. 2 “Exposing The Data Mesh Blind Side ” Forrester.

Management 83

Management Metadata Data Architecture Data Lake 83

Cloudera

AUGUST 30, 2022

For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Towards Data Science ).

Data Architecture 76

Data Architecture Data Lake Metadata Data Warehouse 76

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data science and MLOps.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Cloudera

SEPTEMBER 9, 2022

Cloudera has been supporting data lakehouse use cases for many years now, using open source engines on open data and table formats, allowing for easy use of data engineering, data science, data warehousing, and machine learning on the same data, on premises, or in any cloud.

Metadata 97

Metadata Machine Learning Unstructured Data Data Lake 97

Andrew White

JANUARY 9, 2022

But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. Can you remind where we can find the mentioned blog? Can you provide a link to your blog, or will we get notice of your info posted through email? We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JULY 28, 2022

Lift and shift perpetuates the same data problems, albeit in a new location. In many cases, businesses have tons of data, but the data can’t be trusted. If you don’t have a well-defined business problem, your analytics or data science project will be an expensive failure. Data quality /wrangling.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Alation

SEPTEMBER 23, 2021

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. Visualizations.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Domino Data Lab

JULY 21, 2019

Since Domino’s inception , we have tackled the reproducibility problem to support our customers via continued updates to the platform’s collaboration functionality as well as contributing to the overall public discourse on this blog and at industry events including Rev. But you also need to have metadata around the data.

Metadata 65

Metadata Statistics Risk Machine Learning 65

Cloudera

JANUARY 22, 2019

Shared Data Catalog to preserve context and enforce Governance. Data catalogs are essential for sharing knowledge about distributed data, and for improving data quality, trust, and governance. Now Tech: Big Data Fabric, Q2 2018. ** The Forrester Wave : Big Data Fabric, Q2 2018.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Alation

DECEMBER 15, 2021

This includes where the organization stores, processes, and transmits it (details an organization must be ready to share with auditors, or increasingly, with individuals whose personal data has been captured and seek to have a say in how companies use it.). At the same time, it enhances data security and compliance programs.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Some data seems more analytical, while other is operational (external facing). Attendance was high, as were the number of excellent questions.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Unstructured Data 100

Unstructured Data Cost-Benefit Metadata Machine Learning 100

Andrew White

MARCH 22, 2019

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. Your Future Requires You to Define Your Real Master Data. Maybe we can explore things like decision making ?

Analytics 68

Analytics Metadata Data Governance Management 68

Alation

FEBRUARY 13, 2020

You see scale, obviously data science work in the cloud. What’s going on with the whole data at the center? One is that idea of the center and the other is your point about data quality and data trust. The other thing in terms of that data quality and data trustworthiness has been a differentiator.

ROI 52

ROI Data-driven Finance Data Quality 52