IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

APRIL 19, 2023

Conclusion Data-driven organizations are transitioning to a data product way of thinking. Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML.

Technology 80

Technology Data-driven Machine Learning Sales 80

Timo Elliott

JANUARY 6, 2022

The data you’ve collected and saved over the years isn’t free. If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. If you’ve yet to implement data governance, this is another great reason to get moving quickly. Aggregate and pool.

IT 133

IT Metadata Data-driven Data Governance 133

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 Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. What does a sound, intelligent data foundation give you?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

CIO Business Intelligence

DECEMBER 16, 2022

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. On average, though, bonuses for non-certified skills were bigger and faster-growing than those for certifications.

Testing 95

Testing Metadata Data Processing Machine Learning 95

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Alation

APRIL 19, 2021

With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global Data Strategy). Creating A Cloud Migration Strategy. Manage Costs.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities.

Manufacturing 102

Manufacturing Forecasting IoT Insurance 102

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 108

IT Data Architecture Unstructured Data Big Data 108

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

MARCH 23, 2023

While the topic has gotten a lot of buzz, a data fabric is not a specific application or software package you download and solve all your data management challenges. Instead, it’s a set of principles and strategies that enable the seamless integration and management of data across multiple platforms and sources.

Management 52

Management Metadata Unstructured Data Data Integration 52

CIO Business Intelligence

JUNE 23, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 88

IT Data Architecture Unstructured Data Big Data 88

AWS Big Data

JULY 14, 2023

Consumers prioritized data discoverability, fast data access, low latency, and high accuracy of data. These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture.

Finance 81

Finance Metadata Big Data Recreation/Entertainment 81

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

AWS Big Data

JULY 28, 2023

To successfully respond to a data subject’s requests, organizations should have a clear strategy to determine how data is forgotten, flagged, anonymized, or deleted, and they should have clear guidelines in place for data audits. Note that putting a comprehensive data strategy in place is not in scope for this post.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Strategies for measuring value and prioritizing data products are explored later in this post.

Management 77

Management Risk Measurement Optimization 77

Sisense

MAY 28, 2020

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. Product teams are already having to manage the growing complexities that come with modern data environments.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Cloudera

AUGUST 17, 2022

CDP One is built with the same Cloudera technology that was rated better for analytic and operational use cases by leading industry analysts than the point product vendors or point services from hyperscalers. Having a simple, yet powerful, service such as CDP One is a huge competitive advantage as data is foundational to a company’s growth.

Analytics 115

Analytics Data-driven Machine Learning Data Science 115

Cloudera

JUNE 24, 2022

Data makes the most ambitious and even idealistic goals —like making the world a better place — possible. This is intrinsically worthwhile, but it has now been codified as part of the Federal Data Strategy and its stated mission to “fully leverage the value of federal data for mission, service, and the public good.”

Data-driven 76

Data-driven Metadata Optimization Machine Learning 76

AWS Big Data

APRIL 3, 2024

If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 87

Data Quality Visualization Metadata Metrics 87

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Agile Data. A-Team Insight. Techcopedia.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

Anmut

JUNE 9, 2023

So, by properly understanding different data governance roles and responsibilities, organisations can reap the rewards of an effective governance programme. One that supports the business strategy and creates real, measurable benefits from data. It ensures that data is on their agenda and that they have data oversight.

Data Governance 52

Data Governance Cost-Benefit Metadata Strategy 52

Laminar Security

AUGUST 23, 2023

Cloud data security pairs well with other security disciplines, such as cloud infrastructure vulnerability management, application security, and identity management. Together, these practices form the backbone of an organization’s overall cloud security strategy. What are the challenges of securing data in the cloud?

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

DataKitchen

JUNE 24, 2021

Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? We saw other metrics from some of our peers that were absolutely staggering in terms of the amount of cost they took out to deliver data in a holistic environment. Bergh added, “ DataOps is part of the data fabric.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

AWS Big Data

MAY 4, 2023

Data scientists have access to the Jupyter notebook hosted on SageMaker. The OpenSearch Service domain stores metadata on the datasets connected at the Regions. Notebook users can query this service to retrieve details such as the correct Region of Dask workers without needing to know the data’s Regional location beforehand.

Data Processing 92

Data Processing Metadata Informatics Interactive 92

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

Domino Data Lab

OCTOBER 9, 2019

This was alongside keynotes by: Rebecca Williams from OMB at the Whitehouse—who helped develop the US federal data strategy and year-1 action plan —check out her slides for the “Federal Data Strategy” keynote. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Cloudera

AUGUST 21, 2020

To find out more about how live-streaming data might impact the sector I sat down for a chat with Dinesh Chandrasekhar , Head of Product Marketing in Cloudera’s data-in-motion Business Unit. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Enterprise 59

Enterprise Data Lake Strategy Metadata 59

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. 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.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, data governance strategies that are leveraging knowledge graph solutions have increased data accessibility and improved data quality and observability at scale. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52