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 121

Unstructured Data Metadata Management Analytics 121

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

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. Where data flows, ideas follow.

IT 107

IT Data Architecture Unstructured Data Big Data 107

CIO Business Intelligence

DECEMBER 11, 2023

Specifically for healthcare payers and providers, EXL has developed AI-based solutions for clinical operations to transform end-to-end patient or member management. Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data.

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

CIO Business Intelligence

JUNE 23, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines. Cost Management.

Slice and Dice 110

Slice and Dice Cost-Benefit Risk Data Governance 110

IBM Big Data Hub

JANUARY 5, 2023

A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments. Efficiently adopt data platforms and new technologies for effective data management.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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 105

Data Lake Sales Data Warehouse Snapshot 105

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

MAY 28, 2020

During our current pandemic, access to real-time data can also save lives. Health officials are investigating how contact-tracing apps can help manage the ‘reopening’ after we begin to reopen the country after the COVID-19 lockdown,” said George Thiruvathukal, professor of computer science at Loyola University in Chicago.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Sisense

SEPTEMBER 15, 2020

Even when the company is required to store some of its data on-premises, a hybrid experience like AWS Outposts can allow these teams to take advantage of many of the benefits traditionally only offered by being fully in the cloud, such as low storage and compute costs and access to fast-moving data and unstructured data.

Key Performance Indicator 79

Key Performance Indicator Cost-Benefit Unstructured Data Strategy 79

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. Cloud data warehouses. Software updates, hardware, and availability are all managed by a third-party cloud provider. .

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MARCH 29, 2022

An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists. New approaches are being developed to understand and use unstructured data, for instance.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Ontotext

MARCH 23, 2023

Data management is becoming increasingly challenging for organizations. With an unprecedented amount and diversity of data coming from various sources, it’s like trying to put together a picture with pieces from different puzzles. Can data fabrics save your day? It can extract information from unstructured data.

Management 52

Management Metadata Unstructured Data Data Integration 52

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. The report has uncovered customer centricity to be the key priority for both telco and FSI organizations when it comes to using data.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 107

Analytics Data Lake Unstructured Data Enterprise 107

CIO Business Intelligence

MARCH 13, 2023

Increasingly, organizations are finding the cloud serves as the best environment for integrating, storing, managing, and analyzing large volumes of disparate data types. Most organizations and their leadership teams understand the value of data and are taking steps to implement a modern data strategy.

Unstructured Data 52

Unstructured Data Data Strategy Data-driven Consulting 52

TDAN

MAY 6, 2020

The latency of this data depends on the analytical purpose. Real-Time Business Intelligence (RTBI) lets users access the information that happened recently via a dashboard. The recent information can be an event that occurred a few milliseconds ago or before an hour. For marketing, the latency must be of least value.

Business Intelligence 76

Business Intelligence Dashboards Marketing Analytics 76

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . IBM’s most recent moves in Data & AI .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. But there are many challenges to becoming a successful data-driven organisation.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. You can intuitively query the data from the data lake. Analytics, Data Management

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Cloudera

JULY 26, 2021

Consistency simplifies and accelerates DevOps activities related to data product development by delivering an singular development platform where different roles and development disciplines (e.g., 4- Compose Data Experiences Organized around Value Propositions, Not Intermediate Data Outputs. data warehousing).

Strategy 114

Strategy Data Science Marketing Unstructured Data 114

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Think of applied analytics as specific use cases for your industry that identify the exact insights and data that would create the best outcomes in specific business processes. Master data management.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Alation

DECEMBER 15, 2021

Data governance focuses on the daily tasks that keep information usable, understandable, and protected. A data governance strategy consists of the background planning work that sets the holistic requirements for how an organization will manage data consistently. Why is a Data Governance Strategy Needed?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Sisense

JULY 6, 2021

Yonatan demonstrated that as data volumes increase (at an unprecedented rate), this approach is gaining traction in order to handle vast amounts of data, aggregate it all into a single location, and apply analytics (including machine learning) to it to derive actionable intelligence from both structured and unstructured data more effectively.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Strategy 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization is often conflated with data transparency, which refers to processes that help ensure data accuracy and easy access to data regardless of its location or the application that created it. This lets users across the organization treat the data like a product with widespread access.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Securing Data. Changing Regulations.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52