AWS Big Data

JANUARY 24, 2023

In his spare time, he loves reading and finds areas for home automation Raza Hafeez is a Senior Data Architect within the Shared Delivery Practice of AWS Professional Services. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

CIO Business Intelligence

MARCH 18, 2024

RAG optimizes LLMs by giving them the ability to reference authoritative knowledge bases outside their training data. “There are tons of documents that are not residing in an SAP system,” Herzig said. Artificial Intelligence, Data Architecture, Data Science, Digital Transformation, Generative AI, IT Leadership, Nvidia, SAP

Digital Transformation 103

Digital Transformation Optimization Modeling Enterprise 103

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. The post Modernizing and optimizing enterprise reporting [Infographic] appeared first on BI Survey.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

Machine Learning 107

Machine Learning Data Architecture Uncertainty Data-driven 107

Cloudera

APRIL 11, 2024

I thrive on challenges and I’m empowered in partner marketing to develop new strategies to deliver optimal results. By bringing together various partners, we provide comprehensive solutions that address specific use cases and modernize data architecture. What excites you about working with Cloudera’s partner ecosystem?

Data Architecture 85

Data Architecture Marketing Strategy Sales 85

Dataiku

JULY 13, 2022

Every business function struggles with scale, including AI and data science. Architects have addressed technical scale to increase productivity — blazing fast connections, big data architectures, faster chips, distributed computing, massively parallel processing, and all sorts of optimized hardware stacks for AI.

Software 69

Software Data Architecture Big Data Data Science 69

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 91

Strategy Data Architecture Cost-Benefit Reporting 91

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. The benefits are clear, and there’s plenty of potential that comes with AI adoption.

Data Architecture 88

Data Architecture Strategy Data Lake Data-driven 88

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 77

Manufacturing Contextual Data IoT Digital Transformation 77

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

CIO Business Intelligence

JUNE 24, 2022

Forrester believes that enterprise architecture teams across APAC can drive more value and increase their chances of success by linking business capability modelling (BCM) with customer journey mapping and by using value stream management (VSM) to drive effective change. Digital Transformation

Modeling 101

Modeling Digital Transformation Data Architecture Data-driven 101

CIO Business Intelligence

NOVEMBER 1, 2023

It will be optimized for development in Java and JavaScript, although it’ll also interoperate with SAP’s proprietary ABAP cloud development model, and will use SAP’s Joule AI assistant as a coding copilot. Those initiatives will be made available to users of the new SAP Build Code, among other tools.

Enterprise 131

Enterprise Cost-Benefit Unstructured Data Software 131

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. The following diagram illustrates the solution architecture. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. Orca addressed this in several ways.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 100

IT Digital Transformation Internet of Things Data Architecture 100

Ontotext

JULY 24, 2023

A Few Cautions LLM references a huge amount of data to become truly functional, making it a quite expensive and time consuming effort to train the model. Supercomputers (and other components of infrastructure) along with new approaches to data architecture (with billions of parameters) are needed.

Modeling 98

Modeling Management Structured Data Data Architecture 98

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 134

Analytics Data Science Unstructured Data Data mining 134

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. 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

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support. Building the AI Innovation Lab Platform Belcorp developed the platform in two primary stages.

Digital Transformation 92

Digital Transformation Cost-Benefit Informatics Data mining 92

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 90

Manufacturing Data Architecture Strategy Data Strategy 90

erwin

JULY 9, 2020

For more info about how enterprise architecture differs from solutions, technical and data architecture, see: The Difference Between Enterprise Architecture and Solutions Architecture. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

AWS Big Data

NOVEMBER 29, 2023

Modernizing analytics for scale, performance, and reliability “Our migration from legacy on-premises platform to Amazon Redshift allows us to ingest data 88% faster, query data 3x faster, and load daily data to the cloud 6x faster.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. After you complete the checklist, you’ll have a better understanding of how to design the future architecture. For the compute-heavy workloads such as MapReduce or Hive-on-MR jobs, use CPU-optimized instances.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

IBM Big Data Hub

APRIL 29, 2024

Pedro Pedreira, alongside Manos Karpathiotakis and Deblina Gupta, delved into the concept of composability in data management, showcasing Velox’s versatility and its alignment with Arrow. Remus Lazar, VP Data & AI Software at IBM presented Velox’s journey within IBM and vision for its future.

Management 67

Management Optimization Data Processing Metrics 67

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. Partner solutions to boost functionality, adoption. The company’s collaboration with Lovelytics is focused on baseball.

Recreation/Entertainment 115

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 115

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 81

Data Architecture Risk Management Risk Management 81

AWS Big Data

NOVEMBER 16, 2023

Satellites – This type of table records the historized reference data about either hubs or links, such as product_info and customer_info The RDV is used to feed data into the business Data Vault (BDV), which is responsible for reorganizing, denormalizing, and aggregating data for optimized consumption by the presentation mart.

Enterprise 81

Enterprise Data Warehouse Data Lake Optimization 81

CIO Business Intelligence

NOVEMBER 22, 2022

To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s about making the data architecture data centric. It’s not just improving interfaces.

Digital Transformation 135

Digital Transformation Sales Machine Learning Optimization 135

Cloudera

SEPTEMBER 8, 2022

Combined with the characteristics of the infrastructure itself (location, cost, performance) should be workload profiles, including access controls and collaboration, workload optimization features (e.g. for machine learning), and other enterprise policies.

Data Governance 75

Data Governance B2B Data Architecture IoT 75

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift data sharing enables you to evolve your Amazon Redshift deployment architectures into a hub-and-spoke or data mesh model to better meet performance SLAs, provide workload isolation, perform cross-group analytics, and onboard new use cases, all without the complexity of data movement and data copies.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

AWS Big Data

APRIL 29, 2024

About the Authors Yuzhu Xiao is a Senior Data Development Engineer at Amber Group with extensive experience in cloud data platform architecture. Xin Zhang is an AWS Solutions Architect, responsible for solution consulting and design based on the AWS Cloud platform.

Management 89

Management Big Data Metadata Data Warehouse 89

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 91

Dashboards Analytics Metadata Optimization 91

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Building a more agile and governable data architecture: Create and implement common data design standards from the start.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

OCTOBER 16, 2023

To meet this need, AWS offers Amazon Kinesis Data Streams , a powerful and scalable real-time data streaming service. With Kinesis Data Streams, you can effortlessly collect, process, and analyze streaming data in real time at any scale. This optimization is achieved by storing just the URL within Kinesis Data Streams.

Cost-Benefit 101

Cost-Benefit Testing Optimization Strategy 101

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 109

Data Lake Metadata Optimization Statistics 109