CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 126

Machine Learning Cost-Benefit Data-driven Strategy 126

Smart Data Collective

FEBRUARY 23, 2021

If you’re tracking a certain set of metrics without understanding why you’re tracking them in the first place, you’ll likely end up wasting your budget. Additionally, it could also lead to failed campaigns if those weren’t the metrics you were supposed to track. Not Having a Data Architecture Plan.

Big Data 116

Big Data Visualization Data Quality Data-driven 116

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics.

Data Lake 120

Data Lake Data-driven Finance Data Architecture 120

AWS Big Data

SEPTEMBER 7, 2023

The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. You can also graph job run metrics from the CloudWatch metrics console. Save and run the job.

Metadata 101

Metadata Dashboards Metrics Visualization 101

CIO Business Intelligence

SEPTEMBER 26, 2023

But before such catastrophes come to light, what metrics do we use — or should we use — to determine whether a publicly traded company has their information management house in order? Data Architecture, Data Management, Privacy The returns on crafting effective information management strategies are significant.

Strategy 117

Strategy Data Architecture Metrics Management 117

DataKitchen

JUNE 12, 2023

Data Journeys track and monitor all levels of the data stack, from data to tools to servers to code to tests across all critical dimensions. It supplies real-time statuses and alerts on start times, processing durations, test results, costs, and infrastructure events, among other metrics.

Testing 130

Testing Data Lake Dashboards Data Science 130

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 83

Metrics Data Quality Data Lake Statistics 83

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 92

Data Architecture Data Integration IoT Strategy 92

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. It required banks to maintain data architecture supporting risk aggregation at all times. These tools extract, sort, and integrate thousands of metrics.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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. Monitoring Amazon EMR was crucial because it played a vital role in the system for data ingestion, processing, and maintenance.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Cloudera

JULY 19, 2023

One of the many metrics tracked by Ozone is the time taken to process the request internally by Ozone Manager. Apache Ozone with its performance characteristics and improvements is the foundation for the Modern Data Architecture that allows customers to seamlessly build a Hybrid Cloud Native Architecture for their data applications.

Management 70

Management Metadata Metrics Optimization 70

DataKitchen

JUNE 1, 2022

What are my pass/fail metrics over time in production? Is my dashboard displaying the correct data? They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place.

Risk 130

Risk Management Testing Dashboards 130

TDAN

FEBRUARY 14, 2023

One intriguing question I have been asked more than once is: “What metrics and measurements are useful for managing how effective your DBA group […] Readers of my writings sometimes ask me questions about databases and database administration, which I welcome.

Measurement 81

Measurement Metrics Management Data Architecture 81

AWS Big Data

FEBRUARY 1, 2024

The calculation methodology and query performance metrics are similar to those of the preceding chart. The query to generate this chart has similar performance metrics as the preceding chart. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

CIO Business Intelligence

JULY 28, 2023

Prepare effectively: To deploy edge solutions successfully, you need to understand the types of in-house data involved, the existing data architecture, and application-performance requirements. Develop a roadmap: Align short-, medium-, and long-term objectives with business goals rather than focusing solely on the technology.

IT 70

IT IoT Reporting Data Architecture 70

IBM Big Data Hub

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software. New bullet charts help users compare performance metrics to other measures.

Business Intelligence 63

Business Intelligence Enterprise Dashboards Digital Transformation 63

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 8: The DataKitchen Platform tracks collaboration, productivity and quality metrics. A DataOps implementation project consists of three steps.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). option("header", "true").option("inferSchema",

Data Quality 91

Data Quality Visualization Metadata Metrics 91

AWS Big Data

FEBRUARY 6, 2023

Let’s look at some key metrics. After analyzing YARN logs by various metrics, you’re ready to design future EMR architectures. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture. George Zhao is a Senior Data Architect at AWS ProServe.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

Cloudera

MARCH 17, 2023

Prior to forming the group, it was imperative to understand Cloudera’s corporate strategy: corporate objectives, product strategy, go-to-market strategy, key metrics and KPI. Hear a lively discussion about modern data architectures, with a CDO’s perspective. How very clever. And meet us over booth #1327.

KPI 80

KPI Strategy Data Architecture Metrics 80

DataKitchen

JULY 3, 2023

Teams Did Not Build Current Architecture For Rapid And Low-Risk Changes Those Systems Teams have complicated in-place data architectures and tools and fear changes to what is already running. Constant Data And Tool Errors In Production Teams cannot see across all tools, pipelines, jobs, processes, datasets, and people.

Testing 130

Testing Risk Data-driven Statistics 130

CIO Business Intelligence

JUNE 9, 2023

Data management’s ROI Customers often ask me how to “make the case” for data management. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs). Learn more about data architectures in my article here. Read about Dell Technologies Data Management here.

Strategy 101

Strategy Management Key Performance Indicator ROI 101

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. Then back this up by embedding compliance and security protocols throughout the insights generation cycle.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration.

Data Warehouse 94

Data Warehouse Data-driven Machine Learning B2B 94

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

IBM Big Data Hub

DECEMBER 4, 2023

This phase of planning also covers projected project milestones and well-defined metrics for the system once it goes live. During configuration, an organization constructs its data architecture and defines user roles. Integrate: During this phase, Oracle is merged with third-party systems and legacy IT solutions.

Testing 74

Testing Consulting Digital Transformation Cost-Benefit 74

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI.

Machine Learning 56

Machine Learning Data Architecture IoT Metadata 56

Data Virtualization

JANUARY 14, 2022

Reading Time: 3 minutes During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with.

Data Warehouse 52

Data Warehouse Metrics Data Integration Management 52

AWS Big Data

JULY 28, 2023

In this post, we show how to create and query views on federated data sources in a data mesh architecture featuring data producers and consumers. The term data mesh refers to a data architecture with decentralized data ownership. The following diagram depicts our data architecture.

Big Data 83

Big Data Data Architecture Data Lake Interactive 83

AWS Big Data

APRIL 19, 2023

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” 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

IBM Big Data Hub

APRIL 29, 2024

Some of the key benefits of Prestissimo include: Hugh performance boost: query processing can be done with much smaller clusters No performance cliffs: no Java processes, JVM, or garbage collections, as memory arbitration improves efficiency Easier to build and operate at scale: Velox gives you reusable and extensible primitives across data engines (..)

Management 64

Management Optimization Data Processing Metrics 64

AWS Big Data

JANUARY 22, 2024

Parameters of success Acast succeeded in bootstrapping and scaling a new team- and domain-oriented data product and its corresponding infrastructure and setup, resulting in less friction in gathering insights and happier users and consumers.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

FEBRUARY 6, 2023

The results of the log analyzer reveal Hadoop workload insights with various views and metrics of the Hadoop applications shown in Amazon QuickSight dashboards, which leads to the design of a future EMR cluster. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52