Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Fuel growth with speed and control.

IT 107

IT Data Architecture Unstructured Data Big Data 107

Ontotext

DECEMBER 16, 2021

A critical component of knowledge graphs’ effectiveness in this field is their ability to introduce structure to unstructured data. Many rich sources of information in the medical world are written documents with poor quality metadata. Regulatory reporting. Clinical study. Simplified Graph of an Adverse Reaction.

Metadata 98

Metadata Reporting Unstructured Data Risk 98

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. But this is not your grandfather’s big data.

IT 91

IT Data Architecture Unstructured Data Big Data 91

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Octopai

JUNE 24, 2019

Document classification and lifecycle management will help you deal with oversight of unstructured data. – Data management : As part of maintaining the integrity of your data, it will be necessary to track activities. This maintains a high priority in your data governance strategy.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

Andrew White

DECEMBER 9, 2019

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. An enterprise-wide data governance board.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Ontotext

NOVEMBER 22, 2020

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs. Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Sisense

MAY 28, 2020

“Not only do they have to deal with data that is distributed across on-premises, hybrid, and multi-cloud environments, but they have to contend with structured, semi-structured, and unstructured data types. That’s without mentioning outdated metadata—the data about data that provides data intelligence,” said Gopal.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

O'Reilly on Data

FEBRUARY 11, 2020

They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. An additional 7% are data engineers.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

Ontotext

DECEMBER 15, 2022

But whatever their business goals, in order to turn their invisible data into a valuable asset, they need to understand what they have and to be able to efficiently find what they need. Enter metadata. It enables us to make sense of our data because it tells us what it is and how best to use it. Knowledge (metadata) layer.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. In The Case of the Deceptive Data, Holmes is approached by B.I. Some of these data assets are structured and easy to figure out how to integrate.

Metadata 77

Metadata IT Unstructured Data IoT 77

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. Q2: Would you consider Sisense better than others in handling big and unstructured data?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CDW Research Hub

AUGUST 17, 2020

It’s the most simplistic version of storage—you give files a name, tag them with metadata, and organize them into directories and subdirectories. But here’s the caveat: storage at the file level can handle only small amounts of data. Block storage stores data files on storage area networks (SANs). So, what is file storage?

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

CIO Business Intelligence

MARCH 6, 2024

The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 124

Unstructured Data Dashboards Business Intelligence Data Governance 124

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 115

Data Lake Unstructured Data Data Warehouse Data Quality 115

Domino Data Lab

JANUARY 21, 2021

Having used pandas profiling for a series of my own projects, I’m pleased to say thisi package has been designed for ease of use and flexibility from the ground up: It has minimal prerequisites for use: Python 3, Pandas, and a web browser is all one needs to access the HTML-based reports. Last but not least: it is customizable.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Cloudera

NOVEMBER 17, 2022

While Cloudera CDH was already a success story at HBL, in 2022, HBL identified the need to move its customer data centre environment from Cloudera’s CDH to Cloudera Data Platform (CDP) Private Cloud to accommodate growing volumes of data. and primarily served regulatory reporting and internal analytics requirements.

Management 82

Management Data Lake Consulting Unstructured Data 82

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

JUNE 14, 2023

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth. Evaluate data across the full lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. compliance reporting. Nguyen, Accenture & Mitch Gomulinski, Cloudera.

Unstructured Data 45

Unstructured Data Metadata Big Data Enterprise 45

AWS Big Data

FEBRUARY 21, 2023

The data vault approach solves most of the problems associated with dimensional models, but it brings other challenges in clinical quality control applications and regulatory reports. This is one of the biggest hurdles with the data vault approach. It optimizes the database for faster data retrieval.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Metadata 97

Metadata Machine Learning Unstructured Data Data Lake 97

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. This semantic model serves as a blueprint or framework against which raw data is analyzed and organized. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. The analytic team could only produce weekly and monthly reports.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Ontotext

SEPTEMBER 2, 2020

Instead, it creates a unified way, sometimes called a data fabric, of accessing an organization’s data as well as 3rd party or global data in a seamless manner. Data is represented in a holistic, human-friendly and meaningful way. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Sisense

AUGUST 21, 2020

Trend 5: Augmented data management. Gartner: “Augmented data management uses ML and AI techniques to optimize and improve operations. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems.”. My take: The Gartner article doesn’t go beyond lineage or workload automation.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Step 4: Cloudera Data Platform Option Recommendation & Trial/Set up.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71