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 82

Optimization IT Big Data Data Processing 82

CIO Business Intelligence

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

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

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. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China). You can use Amazon EMR to run batch and stream processing analytics jobs on your S3 data lakes.

Data Lake 85

Data Lake Data Governance Data Architecture Machine Learning 85

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

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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

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

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 118

Marketing Strategy B2B Cost-Benefit 118

CIO Business Intelligence

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. So in the data part, we’ve grown with technologies that weren’t convergent.

Modeling 96

Modeling Insurance IT Cost-Benefit 96

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

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 88

Data-driven Advertising Metadata Data Architecture 88

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

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse. This enables data-driven decision-making across the organization.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

AWS Big Data

APRIL 17, 2024

This delivery model allows customers to manage their own data, reducing dependency on AaaS providers and cutting data transfer costs. By keeping data in their own environment, customers can reduce the risk of data breach while benefiting from insights for better decision-making.

Data Warehouse 102

Data Warehouse Analytics Cost-Benefit Modeling 102

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 92

Data Lake Data Warehouse Data-driven B2B 92

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Data risk assessment.

Data mining 60

Data mining Risk Modeling Risk Management 60

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Competition plays harder, and every day, new business models and alternatives driven by data and digitalization surface in almost every industry.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. The total data size is over one petabyte (1PB). Phase 1: Planning.

Testing 131

Testing Metadata Risk Data Science 131

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

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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

AWS Big Data

MARCH 27, 2023

An essential capability needed in such a data lake architecture is the ability to continuously understand changes in the data lakes in various other domains and make those available to data consumers. Srividya Parthasarathy is a Senior Big Data Architect on the AWS Lake Formation team.

Data Lake 88

Data Lake Data-driven Management Data Architecture 88

Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. 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.

IoT 109

IoT Business Objectives Software Manufacturing 109

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 81

Technology Measurement Cost-Benefit Data-driven 81

AWS Big Data

MAY 30, 2024

Key considerations for the migration There are three ways of migrating an on-premises data warehouse to Amazon Redshift: one-step, two-step, and wave-based migration. To minimize the risk of migrating over 20 databases that vary in complexity, we decided on the wave-based approach.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

AWS Big Data

APRIL 19, 2023

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” 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

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

IBM Big Data Hub

MAY 8, 2024

We first introduced our industry-specific enterprise cloud in collaboration with key partners–including BNP Paribas and CaixaBank–to help clients as they work to address various risks, navigate regulations, demonstrate their compliance and accelerate cloud adoption.

Enterprise 65

Enterprise Interactive Consulting Testing 65

Alation

FEBRUARY 13, 2020

At Alation, we’ve seen triple digit revenue growth and added new customers like Daimler, Fox Networks, and Hilton Hotels to the growing list of brands in production with the Alation Data Catalog. When we started Alation six years ago, we saw a data landscape in desperate need of an access point.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

AWS Big Data

NOVEMBER 29, 2023

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

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

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

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

Alation

JULY 30, 2021

Put differently, you can migrate faster if you know the right data to move. And in the era of Big Data, less is more. A curated collection of the most useful, trusted data empowers confident usage across all departments. 2: Biz Problem – Making Data Ready for Business Analysis. million.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. It also means heavy investments on data storage, management, security and speed at which data should be processed. A casino can profit a great deal out of cryptocurrencies.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52