Cloudera

NOVEMBER 1, 2022

These systems can pose operational risks, including rising costs and the inability to meet mission requirements. . 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.

Cost-Benefit 87

Cost-Benefit Data Architecture Risk IoT 87

DataKitchen

AUGUST 8, 2023

Finally, the article states that Data Observability can bring tremendous benefits and time savings by helping IT and business teams be more proactive in their data management and engineering activities. However, there are potential risks and challenges in adopting Data Observability. Are problems with data tests?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. We also used FactSet’s market data solutions for historical and streaming market quotes and trades.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

IBM Big Data Hub

DECEMBER 16, 2022

Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge. A fit-for-purpose data architecture underpins effective data-driven organizations. Read more: Why IBM recommends a data fabric architecture as a solution.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

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. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

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

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Cloudera

OCTOBER 11, 2022

Let this sink in a while – AI at scale isn’t magic, it’s data. What these data leaders are saying is that if you can’t do data at scale , you can’t possibly do AI at scale. Risk increases. Data and AI projects cost more and take longer. This leads to the obvious question – how do you do data at scale ?

Snapshot 92

Snapshot Data Science Digital Transformation Metadata 92

Cloudera

JANUARY 5, 2023

We have been working with APAC organizations to operationalize data analytics and AI solutions to unlock data-driven decision-making and operational efficiency, with them quickly seeing distinct business benefits. The results are higher revenues, lower risks, and increased productivity for the bank.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

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

AWS Big Data

FEBRUARY 27, 2024

These datasets are pivotal for reporting and analytics use cases, powered by services like Amazon Redshift and tools like Power BI. This enables data-driven decision-making across the organization. Bluestone’s journey showcases the power of AWS in transforming organizations into data-driven leaders in their respective industries.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

Smart Data Collective

SEPTEMBER 15, 2021

The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated. Data streaming in real-time enables an organization to act in the moment, which eventually enables it to prosper.

IoT 109

IoT Business Objectives Software Manufacturing 109

IBM Big Data Hub

JANUARY 25, 2023

Breaking down these silos to encourage data access, data sharing and collaboration will be an important challenge for organizations in the coming years. The right data architecture to link and gain insight across silos requires the communication and coordination of a strategic data governance program.

Data Governance 52

Data Governance Data-driven Strategy Management 52

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Cloudera

APRIL 13, 2021

Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks. Its existing data architecture, however, wasn’t up for the gig. Using CDP, the global logistics left its restrictive data platform behind and focused on the future.

Enterprise 76

Enterprise Cost-Benefit Data Warehouse Data Architecture 76

CDW Research Hub

JULY 27, 2021

Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Cloudera

SEPTEMBER 28, 2020

The customer leverages Cloudera’s multi-function analytics stack in CDP. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 131

Testing Metadata Risk Data Science 131

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

IBM Big Data Hub

JUNE 8, 2023

Having a well-designed data architecture and fact-based data can help with understanding performance and measuring progress against broad-based operational and ESG goals. Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency.

Technology 80

Technology Measurement Cost-Benefit Data-driven 80

AWS Big Data

MAY 30, 2024

It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their business users.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

MARCH 28, 2024

Amazon EMR stands as a dynamic force in the cloud, delivering unmatched capabilities for organizations seeking robust big data solutions. Its seamless integration, powerful features, and adaptability make it an indispensable tool for navigating the complexities of data analytics and ML on AWS.

Optimization 81

Optimization IT Big Data Data Processing 81

TDAN

DECEMBER 31, 2019

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

AWS Big Data

JULY 14, 2023

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. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

AWS Big Data

APRIL 26, 2023

In addition, an inventory of all assets is one of the foundational elements of an organization that facilitates the security and compliance team to audit the assets for improving privacy, security posture and mitigate risk to ensure the business operations run smoothly.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies. She focuses on improving data discovery and curation required for data analytics.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

AWS Big Data

MARCH 26, 2024

Enrichment typically involves adding demographic, behavioral, and geolocation data. You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

AUGUST 28, 2018

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. ” – Cornelia Levy-Bencheton. .”

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

Ontotext

FEBRUARY 26, 2024

Each additional graph use case increases its derived value thanks to reducing costs, adding new capabilities, and minimizing risk. C-suite sponsorship – it may start with a single C-level executive, but there will need to be broad consensus across the C-suite that this is a strategic initiative for the organization.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

JUNE 29, 2023

Tracking such user queries as part of the centralized governance of the data warehouse helps stakeholders understand potential risks and take prompt action to mitigate them following the operational excellence pillar of the AWS Data Analytics Lens.

Data Warehouse 61

Data Warehouse Dashboards Testing Visualization 61

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Jet Global

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. New trends in data architecture and data services.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20