CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 113

Management Data Architecture Data Lake Data Strategy 113

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

APRIL 12, 2024

Snowpipe Streaming, a newer feature released in March 2023, is suitable for rowset ingestion (streaming) use cases, such as loading a continuous stream of data from Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK). Straightforward to use with no code – You don’t need to write applications.

Data Architecture 92

Data Architecture IoT Internet of Things Recreation/Entertainment 92

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 129

Data Architecture Data Warehouse Statistics Visualization 129

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

TDAN

OCTOBER 21, 2020

The term “big data” has been bandied about for a number of years now, and it has gotten to the point where it has been used so much that it is a part of IT culture. It’s hard to specifically define, yet everyone seems to have a good idea what is meant by it; big […].

Big Data 69

Big Data IT Data Architecture Data Strategy 69

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

Management 63

Management Optimization Data Processing Metrics 63

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

TDAN

MARCH 6, 2024

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

Management 52

Management Technology Data Architecture Data Governance 52

Cloudera

JUNE 7, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Big data is cool again.

IT 113

IT Data Architecture Unstructured Data Big Data 113

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. Then this information must be executed against by the data engineers.

Big Data 54

Big Data Data Architecture Data Governance Reporting 54

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024.

Contextual Data 74

Contextual Data Data Lake Data-driven Risk 74

Cloudera

FEBRUARY 7, 2019

As such, ATB Financial realized the need to build an enterprise data delivery platform that would enable transparent data ownership for trusted, structured, organized and centralized data operations. Data Powered Decision-Making. Implementing a Modern Data Architecture. Check out our customer stories.

Big Data 67

Big Data Data Analytics Analytics Data Architecture 67

CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Big data is cool again. Jonathan Takiff / IDG.

IT 82

IT Data Architecture Unstructured Data Big Data 82

Cloudera

APRIL 25, 2019

As well as managing the UK’s currency, supply of money and interest rates, the institute has a diverse range of responsibilities including gathering and analyzing data from banks, building societies, credit unions, insurers and mortgage companies to inform policy decisions and guide UK government departments and international organizations.

Management 62

Management Insurance Big Data Data Architecture 62

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

SEPTEMBER 14, 2023

These include: Generalist: Data engineers who typically work for small teams or small companies wear many hats as one of the few “data-focused” people in the company. These generalists are often responsible for every step of the data process, from managing data to analyzing it.

Analytics 133

Analytics Data Science Unstructured Data Data mining 133

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Technology 95

Technology IT Data-driven Data Architecture 95

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Machine Learning 82

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

Cloudera

DECEMBER 1, 2023

Government agencies are actively exploring the use of AI for various applications, such as personalized citizen services, fraud detection, and smart infrastructure management. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 110

Data Governance Data-driven Strategy Data Architecture 110

AWS Big Data

MAY 22, 2024

Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS.

Data Architecture 97

Data Architecture Visualization Data Transformation Management 97

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

TDAN

APRIL 16, 2019

Apache Hadoop is a comprehensive ecosystem which now features many open source components that can fundamentally change an enterprise’s approach to storing, processing, and analyzing data.

Big Data 45

Big Data Enterprise Management Analytics 45

AWS Big Data

SEPTEMBER 20, 2023

Interactive sessions enable you to work with a choice of popular integrated development environments (IDEs) in your local environment or with AWS Glue or Amazon SageMaker Studio notebooks on the AWS Management Console , all while seamlessly harnessing the power of a scalable, on-demand Apache Spark backend. Big Data Architect.

Interactive 90

Interactive Visualization Measurement Data Architecture 90

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 97

Analytics IoT Cost-Benefit Big Data 97

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 59

Management Enterprise Strategy IT 59

TDAN

APRIL 6, 2021

Deploying a Machine Learning model to enhance the quality of your company’s analytics is going to take some effort: – To clean data– To clearly define objectives– To build strong project management Many articles have been […].

Machine Learning 52

Machine Learning Management Strategy Modeling 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 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

AUGUST 9, 2022

These include: Generalist: Data engineers who typically work for small teams or small companies wear many hats as one of the few “data-focused” people in the company. These generalists are often responsible for every step of the data process, from managing data to analyzing it. Data engineer job description.

Analytics 125

Analytics Data Science Statistics Unstructured Data 125

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 52

Management Enterprise Strategy IT 52

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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. The data can be reattached to UltraWarm when needed.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113