Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

Data Governance 78

Data Governance B2B Data Architecture IoT 78

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Cloudera

JULY 29, 2022

Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance.

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 122

Data Architecture Data Warehouse Statistics Visualization 122

CIO Business Intelligence

MAY 15, 2024

The ability to leverage data to understand and plan for those behaviors is extremely important. How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it.

Cost-Benefit 80

Cost-Benefit Data Governance Data Architecture Reporting 80

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

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 87

Strategy Data Architecture Cost-Benefit Reporting 87

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. It is crucial to simplify data consumption and access for all users to support self-service requirements.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

IT 76

IT Data Governance Modeling Cost-Benefit 76

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 92

Data Architecture Data Integration IoT Strategy 92

Alation

APRIL 19, 2022

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization? 5 Benefits of Data Modernization.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 79

Manufacturing Data Architecture Strategy Data Strategy 79

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . The value of open formats is flexibility and portability. 4: Enterprise grade.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Big Data Storage Optimization.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? More and more mature markets are adopting growth market practices of having multiple providers (where SIM-swapping has long been common practice to optimize cost) to assure connectivity. Cloudera: The Telco Data Cloud.

Data Architecture 95

Data Architecture Enterprise Finance Strategy 95

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 98

Management Big Data Metadata Data Warehouse 98

CIO Business Intelligence

NOVEMBER 7, 2023

As part of its efforts to eliminate data silos in the organization, Lexmark established a “data steering team.” Lexmark uses a data lakehouse architecture that it built on top of a Microsoft Azure environment. Data Engineering, Data Governance, Data Integration, Data Management, Data Quality

Data Warehouse 136

Data Warehouse Digital Transformation Data-driven Reporting 136

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

AUGUST 24, 2022

Remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution. Multi-directional data movement topology with high volume and low-latency integration. Support for data governance. Metadata exchange with third party metadata management and governance tools.

Data Integration 80

Data Integration Metadata Data-driven Data Architecture 80

CIO Business Intelligence

AUGUST 9, 2023

All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Before generative AI can be deployed, organizations must rethink, rearchitect and optimize their storage to effectively manage generative AI’s hefty data management requirements.

Unstructured Data 83

Unstructured Data Modeling Data Architecture Enterprise 83

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

JULY 5, 2023

The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale. Data may be stored in its raw original form or optimized into a different format suitable for consumption by specialized engines. Comprehensive data security and data governance (i.e.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Db2 pureScale’s shared data cluster scale out allows for independent scale of compute and storage , enabling high performance, low-latency transactions. Data security & governance .

Data Lake 88

Data Lake Data Warehouse Publishing Structured Data 88

Birst BI

FEBRUARY 25, 2020

However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Alation

MARCH 7, 2023

If data is the octopus, each tentacle then serves as a way to put that data to work. Some are dedicated to the management of the data : architecture, access, analytics, visualization, and automation. The remaining arms are focused more on finding value: governance, lineage , and curation.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). Wang points out that Redshift Serverless also allows him to spin up Amazon Redshift data warehouses to handle special usage patterns.

Data Warehouse 113

Data Warehouse Cost-Benefit Sales Data-driven 113