AWS Big Data

APRIL 26, 2023

The manufacturers need to know BMW Group’s exact current and future semiconductor volume information, which will effectively help steer the available worldwide supply. The data (Part Master Data) can directly be consumed from the Cloud Data Hub. The data (Part Master Data) can directly be consumed from the Cloud Data Hub.

Forecasting 125

Forecasting Manufacturing Data Lake Big Data 125

AWS Big Data

MAY 22, 2024

Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection.

Data Architecture 100

Data Architecture Visualization Data Transformation Management 100

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 91

Metadata Data Lake Visualization Data Transformation 91

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

CIO Business Intelligence

JANUARY 24, 2024

Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

MARCH 4, 2024

In an era of business where every industry requires its stakeholders to be capable of quick pivots and sharp turns, siloed information that ultimately slows decision-making can be the ultimate vulnerability. In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

datapine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Proactivity: Another key benefit of big data in the logistics industry is that it encourages informed decision-making and proactivity.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

AWS Big Data

APRIL 2, 2024

You can see the decompressed data has metadata information such as logGroup , logStream , and subscriptionFilters , and the actual data is included within the message field under logEvents (the following example shows an example of CloudTrail events in the CloudWatch Logs). You can connect with Ranjit on LinkedIn.

Metadata 88

Metadata Marketing Analytics Data Transformation 88

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. This speeds up data transformation and decision-making.

Data Integration 122

Data Integration Machine Learning Big Data Data Transformation 122

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. This allows your teams to make informed decisions based on real data, not just intuition.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

AWS Big Data

APRIL 11, 2023

With these AWS services, retailers can build an end-to-end inventory management and forecasting solution that provides real-time insights into inventory levels and customer behavior, enabling them to make informed decisions that drive business growth and customer satisfaction. The following diagram illustrates a sample architecture.

Forecasting 79

Forecasting Management IoT Data-driven 79

CIO Business Intelligence

JANUARY 12, 2023

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

Octopai

JUNE 22, 2023

In a self-service data management context, Octopai’s data lineage capabilities empower business users to navigate through complex data ecosystems. They can easily identify data sources, understand data transformations, and assess the impact of any changes they make.

Management 52

Management Data-driven Data Quality Data Governance 52

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 81

Dashboards Statistics Data Collection Business Intelligence 81

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Cloudera

APRIL 19, 2022

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . More importantly, effective data strategies don’t stand still.

Data-driven 94

Data-driven Data Strategy Strategy Big Data 94

CIO Business Intelligence

JANUARY 19, 2024

To qualify for the aCAP exam, you need a master’s degree and less than three years of related experience in data or analytics. It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

AWS Big Data

MARCH 13, 2024

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. For example, the company’s procurement team can use this information to make decisions about which vehicles to prioritize for replacement before policy changes go into effect.

Analytics 97

Analytics IoT Metadata Internet of Things 97

DataKitchen

DECEMBER 9, 2022

By streamlining data-related workflows and enabling real-time collaboration, DataOps can help organizations to quickly turn data into insights, and to put those insights into action. ChatGPT> DataOps observability is a critical aspect of modern data analytics and machine learning.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

OCTOBER 18, 2022

“In the strategic data assessment, when people were like, ‘Oh, you can show us the ice cream sales?’ I think you have to toot your own horn that, yes, we have this information available.”. They want that information,” she says. Analytics, Data Management

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

Smart Data Collective

FEBRUARY 20, 2020

In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Before big data became a prominent aspect of invoicing, many SME owners don’t initially see much value in the concept of invoicing software.

Big Data 112

Big Data Software Reporting Interactive 112

Octopai

DECEMBER 11, 2022

Commercial enterprises utilized consumer information for marketing without taking appropriate care to keep it private. Let’s take a look at several regulatory standards and explore automated data lineage’s role in smoothing and improving data compliance. Data lineage and financial risk data compliance.

Insurance 52

Insurance Risk Metadata Reporting 52

Cloudera

JUNE 1, 2021

After all, we invented the whole idea of Big Data. Well, at Cloudera, we envision a world where everyone can quickly and easily access the data-powered information and insights they need – in just a few clicks. . The mission is to “Make data and analytics easy and accessible, for everyone.” 650-644-3900.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

MARCH 9, 2023

offers increased visibility by providing new experience-specific information and warnings within the SDK. supports a new callback onChange , which returns eventNames along with corresponding eventCodes to indicate errors, warnings, or information from the SDK. Additionally, SDK v2.0 The QuickSight SDK v2.0

Slice and Dice 83

Slice and Dice Dashboards Analytics Interactive 83

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 72

Reporting Metrics Optimization Data Lake 72

Sisense

AUGUST 28, 2020

Keeping data quality high ensures that the insights your end-users pull are aligned with reality and can help them (and the company at large) make smarter, d ata-driven decisions , as well as pipe quality information to customer-facing apps. . Process-driven data integrity: Getting data generation right.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Alation

MAY 11, 2023

Simply put, enterprises are increasingly seeking ways to take better advantage of their data and analytics to make data-informed decisions, strengthen the customer experience, and capitalize on cost-saving opportunities.

B2B 52

B2B Digital Transformation Marketing Data Processing 52

Cloudera

JULY 9, 2021

Build, use and constantly adjust a cloud migration checklist: Having a plan that consists of an ordered, sequential list of steps and milestones can dramatically elevate the usefulness of your data, as well as the efficiency of how that data is used and the context that makes it into useful information.

Data Strategy 113

Data Strategy Strategy Data-driven Machine Learning 113

erwin

APRIL 29, 2020

Business terms and data policies should be implemented through standardized and documented business rules. Compliance with these business rules can be tracked through data lineage, incorporating auditability and validation controls across data transformations and pipelines to generate alerts when there are non-compliant data instances.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

IBM Big Data Hub

APRIL 14, 2023

The system calculated the base budget data based on trend as a starting point for the budgeting exercise, with multiple versions provided for better control and movements. The power to take informed decision Al Rabie was able to achieve accurate forecasting during uncertain market conditions by developing 24-month rolling forecast models.

Forecasting 68

Forecasting Sales Dashboards Reporting 68

FineReport

MARCH 7, 2024

This contemplation is paramount in the realm of data analysis reporting, where the practical application of big data takes center stage. Delving into the intricacies of generating insights and facilitating informed decision-making for enterprises, such as achieving precision in advertising placement, is at the heart of this discourse.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Octopai

OCTOBER 6, 2022

It all happens through the magic of data transformation. Data transformation can include: Aggregation Discretization Generalization Conversion Normalization Filtering Smoothing. Identify which transformation process is needed to take your data from the source structure to the target structure.

Testing 52

Testing Visualization Data Transformation Strategy 52

Cloudera

APRIL 12, 2021

Enterprise-level IT transformation provides uniformity and saving as well as enabling new capabilities for the entire workforce. Data access is enabled through the smart implementation of cloud, which in turn allows for faster and more informed decision-making. Enterprise level Transformation appeared first on Cloudera Blog.

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

Cloudera

DECEMBER 9, 2022

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. The side panel is context-sensitive and instantly displays relevant configuration information as you navigate through your flow components.

Testing 101

Testing Cost-Benefit Interactive Visualization 101

bridgei2i

NOVEMBER 17, 2020

The Lean AI wave can be imagined as a 4 step process: AI use case discovery: Identify the current processes amenable to data and AI driven improvement, design the solution roadmap and proactively think through the potential failure modes of enterprise adoption.

Deep Learning 85

Deep Learning Manufacturing Optimization Data-driven 85