Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 112

IT Data Architecture Unstructured Data Big Data 112

CIO Business Intelligence

JUNE 23, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow. Jonathan Takiff / IDG.

IT 97

IT Data Architecture Unstructured Data Big Data 97

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Data Management. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Analytics 52

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

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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

CIO Business Intelligence

MAY 2, 2022

Mason, highly skilled in using data to inform transformational changes in a business, will share insights about leading data projects as well as field questions in a live discussion with attendees. Travelers Senior Vice President and Chief Data and Analytics Officer Mano Mannoochahr will discuss creating a data-first culture.

Advertising 98

Advertising Data Governance Insurance Data-driven 98

Cloudera

JUNE 13, 2024

This includes running analytics at the edge, supporting multi-cloud environments, treating Apache Iceberg as a first-class citizen, and introducing many more innovations like data observability. The Future of Enterprise AI, Delivered Today If the Big Data era was this century’s gold rush, then AI is the next moon shot.

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. So how does it work?

Enterprise 96

Enterprise Data-driven Data Architecture Machine Learning 96

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

AWS Big Data

OCTOBER 25, 2023

Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. Find out more about CDP for modern data architectures here.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. He is also the author of Simplify Big Data Analytics with Amazon EMR and AWS Certified Data Engineer Study Guide books.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

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. It enables organizations to quickly construct robust, high-performance data lakes that support ACID transactions and analytics workloads.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

JANUARY 12, 2024

Solution overview The following diagram illustrates the high-level solution architecture. We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. Amazon Kinesis and Amazon MSK also have capabilities to stream data directly to a data lake on Amazon S3.

Data Lake 118

Data Lake Cost-Benefit Visualization Structured Data 118

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 113

Data Warehouse KPI Optimization Cost-Benefit 113

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 107

Optimization IT Big Data Data Processing 107

TDAN

JULY 21, 2021

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

Big Data 145

Big Data Enterprise Modeling Data Architecture 145

Cloudera

JULY 16, 2019

Solving the pain points of big data management is often an essential first step in creating a hybrid cloud strategy that works, and should be done in the context of the business. So, business strategy should drive data strategy, which in turn, should drive your cloud strategy. .

Strategy 41

Strategy Enterprise Data Strategy Big Data 41

AWS Big Data

APRIL 3, 2024

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. He focuses on modern data architectures and helping customers accelerate their cloud journey with serverless technologies.

Data Quality 116

Data Quality Visualization Metadata Metrics 116

AWS Big Data

FEBRUARY 9, 2023

Amit Shah is a cloud based modern data architecture expert and currently leading AWS Data Analytics practice in Atos. Based in Pune in India, he has 20+ years of experience in data strategy, architecture, design and development. He is on a mission to help organization become data-driven.

Data Warehouse 101

Data Warehouse Data-driven Snapshot Testing 101

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 97

Data Lake Data Governance Machine Learning Cost-Benefit 97

AWS Big Data

APRIL 26, 2023

The AWS Data Lab Resident Architect program provides AWS customers with guidance in refining and executing their data strategy and solutions roadmap. About the Authors Corey Johnson is the Lead Data Architect at Huron, where he leads its data architecture for their Global Products Data and Analytics initiatives.

Metadata 52

Metadata Dashboards Visualization Consulting 52

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 Data Architecture 52

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? Understand the root cause of your biggest data challenges. Execute data projects that deliver measurable results and ROI.

ROI 52

ROI Measurement Data-driven Data Transformation 52

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. That means that any breach could bankrupt your business. […].

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

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

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. He works across Amazon to architect and design modern distributed analytics and AI/ML platform solutions.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Business strategy.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

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

AWS Big Data

DECEMBER 4, 2024

About the Authors Sakti Mishra is a Principal Solutions Architect at AWS, where he helps customers modernize their data architecture and define end-to end-data strategies, including data security, accessibility, governance, and more.

Data Lake 119

Data Lake Big Data Management Software 119

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. Anoop Kumar K M is a Data Architect at AWS with focus in the data and analytics area.

Data Lake 86

Data Lake Machine Learning Data Architecture Data-driven 86

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52