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 67

Management Optimization Data Processing Metrics 67

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

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

DataKitchen

JUNE 1, 2022

They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place. How do SpaceX and NASA manage risk? They fear change in what already running. Build a Mission Control.

Risk 130

Risk Management Testing Dashboards 130

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 84

Management Metadata Data Architecture Data Lake 84

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Management 84

Management Data Lake Consulting Unstructured Data 84

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JANUARY 24, 2023

Solution overview This post shows how to create a backup of the Lake Formation permissions and AWS Glue Data Catalog from one Region to another in the same account. The solution doesn’t create or modify AWS Identity and Access Management (IAM) roles, which are available in all Regions. Migrate AWS Glue databases and tables.

Data Architecture 69

Data Architecture Metadata Data Lake Snapshot 69

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Data Virtualization

JANUARY 19, 2023

Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Alation

MARCH 31, 2023

Many D&A leaders were eager for guidance on which approach to take for their modern data stacks : mesh or fabric? Alation is helping WoodmenLife find all its data and prioritize it for migration into what Rokon called “a new, intentional landscape” that includes Azure, Snowflake , and Power BI.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

DataKitchen

SEPTEMBER 17, 2021

DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication. The following section will explore the DataOps-enabled data mesh in more depth. It would be incredibly inefficient to build a data mesh without automation.

Testing 237

Testing Data Architecture Measurement Enterprise 237

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

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.

IT 110

IT Data Architecture Unstructured Data Big Data 110

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Data Operating Model. Data Scrubbing. Data Service. Infographic.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

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. But this is not your grandfather’s big data.

IT 84

IT Data Architecture Unstructured Data Big Data 84

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

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 65

Big Data Data Analytics Analytics Data Architecture 65

DataKitchen

AUGUST 8, 2023

However, the market for Data Observability is fragmented and lacks a standard accepted definition, leading to confusion and tool adoption issues. She sees Data Observability as an emerging technology in data engineering and management. Are problems with data tests? Let’s start with a scenario. When did it last run?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

AWS Big Data

APRIL 17, 2024

It offers features like data sharing , Amazon Redshift ML , Amazon Redshift Spectrum , and Amazon Redshift Serverless , which simplify application building and make it effortless for AaaS companies to embed rich data analytics capabilities. times better price-performance than other cloud data warehouses.

Data Warehouse 102

Data Warehouse Analytics Cost-Benefit Modeling 102

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 134

Analytics Data Science Unstructured Data Data mining 134

AWS Big Data

FEBRUARY 27, 2024

In this post, we explore how Bluestone uses AWS services, notably the cloud data warehousing service Amazon Redshift , to implement a cutting-edge data mesh architecture, revolutionizing the way they manage, access, and utilize their data assets. It empowered teams to efficiently manage and govern data assets.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

DataKitchen

JULY 3, 2023

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. The Why and How of ‘Data Journey First DataOps’ Let’s start with the ‘why.’

Testing 130

Testing Risk Data-driven Statistics 130

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

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Analytics Hub and Spoke. Teams under the CDO and CAO are sometimes separate from the CIO.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Continual education, training, and upskilling are also critical to better data management, he says.

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. Different data types need different types of analytics – real-time, streaming, operational, data warehouses. And that data is likely in clouds, in data centers and at the edge.

Snapshot 92

Snapshot Data Science Digital Transformation Metadata 92

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. In the following sections, we discuss the features of this solution and how it addresses the challenges of the legacy architecture.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

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 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Data is one of the DoD’s most strategic assets. It’s here where the private cloud delivers.

Cost-Benefit 87

Cost-Benefit Data Architecture Risk IoT 87

CIO Business Intelligence

JANUARY 31, 2024

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is Data analytics lead Diego Cáceres urges caution about when to use AI.

Cost-Benefit 125

Cost-Benefit Modeling Testing IoT 125

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. They also address the concerns of IT teams in allowing access to organizational data. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

AWS Big Data

NOVEMBER 28, 2023

ETL is the process data engineers use to combine data from different sources. Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses.

Data Warehouse 94

Data Warehouse Data-driven Machine Learning B2B 94