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. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance B2B 78

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

OCTOBER 30, 2024

This is part two 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 load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

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 111

Data Architecture Data Integration IoT Data-driven 111

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

MARCH 1, 2023

To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it? Here’s a recap of our discussion.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. Determining optimal table partitioning Apache Iceberg makes partitioning easier for the user by implementing hidden partitioning.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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 114

Data Warehouse KPI Optimization Cost-Benefit 114

CIO Business Intelligence

AUGUST 2, 2023

Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific? Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail.

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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. Quality data needs to be the normalizing factor.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Create a CXO-driven data strategy.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Cloudera

MAY 9, 2023

The data lake will function as a reliable, single information source from which different business units can extract actionable insights, and as a centralized data management platform tohelp eliminate data silos, optimize costs and maximize operational efficiency.

Data Lake 90

Data Lake IoT Data Governance Data-driven 90

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Athena supports a variety of compression formats for reading and writing data.

Insurance 129

Insurance Management Cost-Benefit Optimization 129

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 62

Analytics Data Lake Metadata Data Warehouse 62

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? That is the key to our open data lakehouse architecture.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

Sisense

AUGUST 28, 2019

Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. Deploying applications within containers on a cloud platform allows development teams to optimize resource utilization and leverage best-of-breed capabilities from multiple vendors simultaneously.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

Cloudera

NOVEMBER 25, 2021

At the heart of our multi-year, strategic partnership with AWS is enabling businesses to harness the power of both data and cloud. We have a joint vision to support acceleration, cost optimisation, and optimal experiences for cloud adoption to businesses across every industry. . About the author: .

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

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

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 121

Data Lake Sales Data Warehouse Snapshot 121

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Oghosa Omorisiagbon is a Senior Data Engineer at HEMA. This post is cowritten by Tommaso Paracciani and Oghosa Omorisiagbon from HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

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. Infrastructure cost optimization. reduce technology costs, accelerate organic growth initiatives). Business value acceleration. In particular, SDX enables clients to: .

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

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 118

Analytics Data Lake Data Warehouse Data-driven 118

Cloudera

SEPTEMBER 10, 2024

However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits. In fact, over 25% of respondents stated they don’t have the data infrastructure required to effectively power AI.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

IBM Big Data Hub

MAY 15, 2024

Transformation styles like TETL (transform, extract, transform, load) and SQL Pushdown also synergies well with a remote engine runtime to capitalize on source/target resources and limit data movement, thus further reducing costs. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Analytics 52

AWS Big Data

JANUARY 12, 2024

Leadership and development teams can spend more time optimizing current solutions and even experimenting with new use cases, rather than maintaining the current infrastructure. With the ability to move fast on AWS, you also need to be responsible with the data you’re receiving and processing as you continue to scale.

Data Lake 118

Data Lake Cost-Benefit Visualization Structured Data 118

BI-Survey

NOVEMBER 23, 2021

Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate. Decentralized data preparation is both an opportunity and a risk.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

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

DataRobot Blog

OCTOBER 3, 2017

Finally, Clarity Insights created a joint solution on AWS CloudFormation templates allowing a point-and-click way to stand up a fully-functional data lake using Cloudera , Paxata , and Zoomdata optimized on Intel processors. 2) When data becomes information, many (incremental) use cases surface.

Data Lake 52

Data Lake Advertising Data Architecture Insurance 52

erwin

SEPTEMBER 16, 2024

Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption. Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52