Cloudera

SEPTEMBER 10, 2020

With that in mind, the agency uses open-source technology and high-performance hybrid cloud infrastructure to transform how it processes demographic and economic data with an Enterprise Data Lake (EDL). This confidence and trust is key to enabling them to use data to its fullest potential and generating business value. .

IT 104

IT Business Objectives Digital Transformation Data-driven 104

AWS Big Data

DECEMBER 16, 2024

With SageMaker Lakehouse unified data connectivity, you can confidently connect, explore, and unlock the full value of your data across AWS services and achieve your business objectives with agility. About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team.

Visualization 71

Visualization Data Processing Testing Publishing 71

AWS Big Data

AUGUST 27, 2024

The Amazon Redshift service must be running in the same Region where the Salesforce Data Cloud is running. AWS admin roles for Lake Formation and Amazon Redshift: Lake Formation – A data lake admin for accepting the share and providing access to users. He helps customers become data-driven.

Data Lake 95

Data Lake Analytics Data-driven Management 95

CIO Business Intelligence

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. However, data mesh is not about introducing new technologies. by building data products with domain owners.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated. Data repositories represent the hub.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

CIO Business Intelligence

JULY 17, 2023

Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics. We need to define our business objective before adopting those new tools, because AI is simply algorithm.

IT 98

IT Digital Transformation IoT Internet of Things 98

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

AWS Big Data

AUGUST 5, 2024

Customers often face challenges in locating and accessing the fragmented data they need, expending time and resources in the process. On the producer side, a sales product project has been created with a data lake environment. On the consumer side, a marketing consumer project with a data lake environment has been established.

Metadata 59

Metadata Sales Data Lake Publishing 59

AWS Big Data

NOVEMBER 15, 2023

Ismail focuses on architecting solutions for organizations across their end-to-end data analytics estate, including batch and real-time streaming, big data, data warehousing, and data lake workloads.

Metadata 97

Metadata Sales Data Lake Big Data 97

AWS Big Data

AUGUST 1, 2024

A successful migration can be accomplished through proactive planning, continuous monitoring, and performance fine-tuning, thereby aligning with and delivering on business objectives. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. Vijay Bagur is a Sr.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

CIO Business Intelligence

MARCH 13, 2023

With the added challenge for IT leaders in the highly regulated financial services industry is that data security and business resiliency are unassailable business objectives. The cloud gives banking organizations the ability to take core processes to the next level, to build and customize new services and monetize data.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

CIO Business Intelligence

DECEMBER 4, 2023

With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements. Connect/Activate.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

AWS Big Data

AUGUST 6, 2024

Ismail focuses on architecting solutions for organizations across their end-to-end data analytics estate, including batch and real-time streaming, big data, data warehousing, and data lake workloads.

OLAP 93

OLAP Analytics Visualization Dashboards 93

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

Paul Blogs on BI

MAY 13, 2024

Many BusinessObjects customers now use Cloud based data warehouses or data lakes and Snowflake is one of the most popular solutions chosen. With the latest service pack of BI 4.3, SP04, we can now dynamically refresh both master and child reports making this feature even more versatile and desirable to use.

Data Warehouse 52

Data Warehouse Data Lake Reporting Dashboards 52

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

IBM Big Data Hub

JULY 27, 2023

With a summary of business objectives, developers can spend less time learning about the business playbook and more time coding. Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system.

Management 54

Management Enterprise Modeling Data Quality 54

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JUNE 13, 2023

She has a deep understanding of cloud technologies and has successfully overseen and lead strategic projects, partnering with clients to define business objectives, develop implementation strategies, and drive the successful delivery of solutions. Vamsi Bhadriraju is a Data Architect at AWS.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Cloudera

DECEMBER 2, 2024

As the scale of data and computing grows, especially with the increase of AI workloads, FinOps provides a strategic approach to keep cloud expenses predictable and aligned with business objectives. Meanwhile, GreenOps focuses on reducing the environmental impact of cloud operations.

Analytics 89

Analytics Optimization Data Lake Business Objectives 89

AWS Big Data

MARCH 13, 2025

Ismail focuses on architecting solutions for organizations across their end-to-end data analytics estate, including batch and real-time streaming, big data, data warehousing, and data lake workloads.

Management 91

Management Analytics OLAP Online Analytical Processing 91

AWS Big Data

APRIL 7, 2025

Avijit Goswami is a Principal Solutions Architect at AWS specialized in data and analytics. He supports AWS strategic customers in building high-performing, secure, and scalable data lake solutions on AWS using AWS managed services and open source solutions. She is an advocate for diversity and inclusion in the technology field.

Management 80

Management Metrics Snapshot Data Lake 80

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52