Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

Cloudera

JUNE 13, 2024

Cloudera’s true hybrid approach ensures you can leverage any deployment, from virtual private cloud to on-premises data centers, to maximize the use of AI. Reliability – Can you trust that your data quality will yield useful AI results? Responsibility – Can you trust your AI models will give meaningful insight?

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Cloudera

DECEMBER 21, 2020

Known previously as the ‘Data Anywhere’ category, the newly titled ‘Enterprise Data Cloud’ category better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. West Midlands Police: an inspiring journey into the enterprise data cloud.

Enterprise 96

Enterprise Data-driven Data Architecture Machine Learning 96

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

Cloudera

AUGUST 22, 2021

There also needs to be a cloud-first strategy that should have buy-in from upper management. More importantly, a company’s data strategy should drive its cloud strategy so that they are aligned and fulfill both business and IT needs. The strategy should also be understood and embraced by the entire organization.

Cost-Benefit 105

Cost-Benefit IoT Strategy Digital Transformation 105

AWS Big Data

FEBRUARY 27, 2024

These services have not only enabled efficient data governance, quality assurance, and orchestration, but have also fostered a culture of data centricity within the organization, ultimately leading to better decision-making and competitive advantage.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111

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 122

Data Lake Sales Data Warehouse Snapshot 122

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 119

Analytics Data Lake Data Warehouse Data-driven 119

AWS Big Data

JULY 16, 2024

Systematically detect potential threats and react to a system’s state through alerting, and integrating those alerts back into Zurich’s SIEM for larger correlation, reducing by approximately 85% the amount of data ingestion into Zurich’s SIEM. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

DataRobot Blog

OCTOBER 3, 2017

Santhosh noted that while information is architected into a central data lake, it is Paxata self-service data preparation (SSDP) that created broad use cases across trade finance, payments, collections, financial crimes, human resources, and customer profitability. DataRobot Data Prep. free trial. Try now for free.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

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. without integration delays or having to deal with fragmented data silos that result in operational inefficiencies. .

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

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. Producers prioritized ownership, governance, access management, and reuse of their datasets.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

IBM Big Data Hub

SEPTEMBER 7, 2022

Today, the Summer School has grown to include over 400 data leaders across 46 countries and nearly 25 industries. Storytelling remains a powerful tool in data strategy adoption. This year we’ve spoken with data leaders whose data strategies have stalled, resulting in falling confidence within their organizations.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

APRIL 3, 2024

In Apache Spark, a SparkSession is the entry point for interacting with DataFrames and Spark’s built-in functions. You can also use the Amazon DataZone APIs to integrate with external data quality providers, enabling you to maintain a comprehensive and robust data strategy within your AWS environment.

Data Quality 118

Data Quality Visualization Metadata Metrics 118

TDAN

AUGUST 1, 2023

Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.

Interactive 52

Interactive Risk Management Data Architecture Risk 52

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. Interactions between hardware and software are cautiously investigated, operating systems and network connections are carefully tested, […].

Testing 52

Testing Interactive Strategy Software 52

Peter James Thomas

MARCH 23, 2020

Humans are inherently social animals and limiting our social interactions can be injurious to mental health. In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. Business Interviews and 1.5

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

AWS Big Data

MARCH 28, 2024

With these frameworks and related open-source projects, you can process data for analytics purposes and BI workloads. Sakti Mishra is a Principal Solutions Architect at AWS, where he helps customers modernize their data architecture and define their end-to-end data strategy, including data security, accessibility, governance, and more.

Optimization 113

Optimization IT Big Data Data Processing 113

CIO Business Intelligence

APRIL 15, 2025

One of the most effective ways to manage data gravity is through data localization and segmentation. By distributing workloads strategically across different cloud providers, businesses can ensure that compute resources remain close to the datasets they interact with, reducing latency and improving performance. The lesson?

Strategy 109

Strategy Data-driven Manufacturing Risk 109

AWS Big Data

DECEMBER 4, 2024

the same Lake Formation rules that you set up for use with other services like Athena now apply to your AWS Glue Spark jobs and Interactive Sessions through built-in Spark SQL and Spark DataFrames. This simplifies security and governance of your data lakes. With AWS Glue 5.0, This post demonstrates how to enforce FGAC on AWS Glue 5.0

Data Lake 119

Data Lake Big Data Management Software 119

AWS Big Data

APRIL 29, 2025

While enabling organization-wide efficiency, the team also applied these principles to the data architecture, making sure that CLEA itself operates frugally. After evaluating various tools, we built a serverless data transformation pipeline using Amazon Athena and dbt. However, our initial data architecture led to challenges.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54

AWS Big Data

APRIL 28, 2025

When the user interacts with resources within SageMaker Unified Studio, it generates IAM session credentials based on the users effective profile in the specific project context, and then users can use tools such as Amazon Athena or Amazon Redshift to query the relevant data. Each project has a project role.

Metadata 61

Metadata Data Lake Big Data Management 61

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. His focus areas are MLOps, feature stores, data lakes, model hosting, and generative AI.

Data Lake 92

Data Lake Machine Learning Data Architecture Data-driven 92