erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 118

Data Lake Data Processing Metadata Snapshot 118

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. Big data is cool again.

IT 85

IT Data Architecture Unstructured Data Big Data 85

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

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. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

IBM Big Data Hub

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

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 104

Data Lake Sales Data Warehouse Snapshot 104

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 114

Data Lake Analytics Dashboards Metrics 114

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. You can use Amazon EMR for streaming data processing to use your favorite open source big data frameworks.

Analytics 113

Analytics IoT Data-driven Snapshot 113

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. For building such a data store, an unstructured data store would be best.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

Sisense

MAY 28, 2020

They want data in the moment, on the go, and personalized. As enterprises demand data infrastructures that can meet this growth in real-time data — and ultimately assist with their product differentiation strategy — the pressure put on product teams is huge. “Not Pressure on infrastructure builds.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

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. Integration of external data with complex structures. Big data is BIG.

Metadata 77

Metadata IT Unstructured Data IoT 77

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. What Happened to Tradition BI?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 111

Data Lake Unstructured Data Data Warehouse Data Quality 111

IBM Big Data Hub

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

Unstructured Data 96

Unstructured Data Statistics Consulting Enterprise 96

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

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. This enables data hub users to quickly access up-to-date content across the enterprise.

Unstructured Data 45

Unstructured Data Metadata Big Data Enterprise 45

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. As a part of enterprise informationization, there are many reasons for BI platform to do separate management and disaster recovery. Enterprises require BI systems to provide stable services throughout the day.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Metadata 86

Metadata Big Data Optimization Unstructured Data 86

erwin

JUNE 27, 2019

For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. In today’s hyper-competitive, data-driven business landscape , organizations are awash with data and the applications, databases and schema required to manage it.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Big Data is an ecosystem as well as a philosophy.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

AWS Big Data

FEBRUARY 21, 2023

Because data is closer to the source and stored in raw format, it has to be transformed before it can be used for reporting and other application purposes. This is one of the biggest hurdles with the data vault approach. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. Cloudera Enterprise. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. He is passionate about identity, security, and unified communications.

Snapshot 84

Snapshot Data Lake Testing Strategy 84

Rocket-Powered Data Science

MARCH 20, 2023

We could further refine our opening statement to say that our business users are too often in a state of being data-rich, but insights-poor, and content-hungry. This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.”

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 101

Unstructured Data Cost-Benefit Metadata Machine Learning 101

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89