CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, 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 135

Analytics Data Science Unstructured Data Data mining 135

Cloudera

FEBRUARY 7, 2019

This data is sensitive in nature – so the highest of security protocols need to be maintained, while enabling the majority of business decisions to leverage this key information through the organization’s analytics and reporting capabilities. Implementing a Modern Data Architecture.

Big Data 64

Big Data Data Analytics Analytics Data Architecture 64

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. FactSet has several datasets available in the AWS Data Exchange marketplace, which we used for reference data.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

DataKitchen

JANUARY 3, 2022

Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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. They also address the concerns of IT teams in allowing access to organizational data.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JANUARY 31, 2024

In response, regulators in Europe and the US are moving to require large users of AI to report on its environmental impact. Online gaming company Mino Games uses DataGPT, which integrates analytics, a caching database, as well as extract, translate and load (ETL) processes to speed queries, such as which new features to offer players.

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 108

Data Warehouse Testing Data Quality Reporting 108

CIO Business Intelligence

JUNE 20, 2022

The strategy also highlighted its NHS COVID-19 Data Store as a case study for how data should be managed in the NHS, with the Data Store helping decision-makers to understand how COVID-19 was spreading, to ensure critical equipment was supplied to those with the greatest need, and to support clinical research.

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

IBM Big Data Hub

JUNE 8, 2023

Having a well-designed data architecture and fact-based data can help with understanding performance and measuring progress against broad-based operational and ESG goals. Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency.

Technology 82

Technology Measurement Cost-Benefit Data-driven 82

CDW Research Hub

JULY 27, 2021

Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. This enables organizations to connect to any data source and combine any type of data.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

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. After the batch job runs successfully, you can use OpenSearch Service to run search queries or reports.

Data Lake 96

Data Lake Cost-Benefit Visualization Structured Data 96

AWS Big Data

APRIL 26, 2023

Huron leverages Amazon QuickSight for their Business Intelligence (BI) reporting needs, enabling them to embed visualizations at scale with higher efficiency and lower cost. The AWS Data Lab Resident Architect program provides AWS customers with guidance in refining and executing their data strategy and solutions roadmap.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

FEBRUARY 6, 2023

The Amazon EMR TCO report with the new Amazon EMR design can demonstrate the Amazon EMR migration with detailed cost saving and business benefits. Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 114

Data Warehouse Cost-Benefit Sales Data-driven 114

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Data Analyst. While salaries for data analysts are often reasonably high, salaries for data scientists may be higher still.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 81

Big Data Data Architecture Data Lake Interactive 81

AWS Big Data

APRIL 3, 2024

As data becomes increasingly crucial for driving business decisions, Amazon DataZone users are keenly interested in providing the highest standards of data quality. They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

AWS Big Data

JANUARY 24, 2023

This utility can detect any changes made to the Data Catalog metadata, databases, tables, and columns while replicating the Data Catalog from the source to the target Region. The utility reports the number of objects modified during its run. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

APRIL 3, 2023

sh" ], "stage_description": "Data Insertion Stage 1" }, { "execution_flag": "y", "execution_type": "parallel", "scripts": [ "rsql_blog_script_5.sh", About the Authors Akhil is a Data Analytics Consultant at AWS Professional Services. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 99

Data Warehouse Testing Data Lake Data-driven 99

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. Challenges associated with Data Management and Optimizing Big Data.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

NOVEMBER 13, 2023

The downstream consumers consist of business intelligence (BI) tools, with multiple data science and data analytics teams having their own WLM queues with appropriate priority values. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

DataKitchen

JUNE 1, 2022

Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

Risk 130

Risk Management Testing Dashboards 130

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

AUGUST 2, 2023

Estimated Carbon Footprint = Amount of money spent on truck transport * Emission Factor [1] Although these computations are very easy to make from general ledgers or other financial records, they are most valuable for initial estimates or for reporting minor sources of greenhouse gases.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. times more effective than traditional mass marketing.

Internet Publishing and Broadcasting 119

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 119

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Alation

JULY 7, 2022

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. What is the difference in your view between Data Analytics and Data Science?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Cloudera

NOVEMBER 17, 2022

The bank will be able to secure, manage, and analyse huge volumes of structured and unstructured data, with the analytic tool of their choice. . and primarily served regulatory reporting and internal analytics requirements. Smooth, hassle-free deployment in just six weeks. See other customers’ success here .

Management 82

Management Data Lake Consulting Unstructured Data 82

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Organizations using C360 achieved 43.9%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70