CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 124

Data Lake Data-driven Dashboards Risk 124

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Quality test suites will enforce “equity,” like any other performance metric. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JUNE 8, 2023

You can use this proactive alerting to monitor data patterns for existing data, monitor clusters, detect patterns, and more. OpenSearch Dashboard provides an alerting plugin that you can use to set up various types of monitors and alerts. This provides a query to retrieve metrics related to the cluster health.

Data Lake 82

Data Lake Dashboards Metrics Testing 82

AWS Big Data

MAY 1, 2024

To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems. Promote and expand the use of databases.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

JULY 25, 2023

In the Metric filters section, expand Additional filtering options. In the Metric filters section, expand Additional filtering options. Method 2: Monitor metrics in CloudWatch Redshift Serverless publishes serverless endpoint performance metrics to CloudWatch. Choose Workgroup to view workgroup-related metrics.

Metrics 83

Metrics Data Warehouse Dashboards Snapshot 83

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

AWS Big Data

FEBRUARY 12, 2024

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier. This compiled data is then imported into Aurora PostgreSQL Serverless for operational reporting.

Data Warehouse 102

Data Warehouse Analytics Snapshot Cost-Benefit 102

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 86

Data Lake Dashboards Metrics Metadata 86

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Data and tool tests.

Testing 130

Testing Statistics Measurement Metrics 130

IBM Big Data Hub

DECEMBER 18, 2023

Raw data feeds sound nice, but they usually end up creating more work for network teams, who have to process and analyze the data to discover the underlying cause of network issues. Provide only basic data Other authoritative DNS providers take the opposite approach, providing just a simple dashboard with basic information.

Dashboards 76

Dashboards Data Lake Metrics Sales 76

DataKitchen

OCTOBER 11, 2021

She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart. The data engineer then emails the BI Team, who refreshes a Tableau dashboard.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

MARCH 17, 2023

The team found QuickSight easy to use and developed two new dashboards that replaced dozens of legacy reports. The response has been overwhelmingly positive, leading to the development of two additional analytics dashboards, Job Postings and Onboarding, both set to be released in the first half of 2023.

Dashboards 52

Dashboards IT Data Lake Visualization 52

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget. This step creates datasets on QuickSight dashboards in your AWS target account.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

AWS Big Data

NOVEMBER 7, 2023

They can now analyze business metrics in near-real time and make data-driven decisions faster than ever before. With this integration, Infosys replicated Aurora data to Amazon Redshift and created Amazon QuickSight dashboards for product managers and channel leaders in just a few seconds, instead of several hours.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

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

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

APRIL 26, 2022

Out of 15 metrics Nallani used to measure the company’s overall infrastructure, 13 or 14 came out as “red,” meaning very deficient, and the only bright light — the company’s ecommerce system — was being phased out by Oracle. The company is awesome and has such phenomenal loyalty from its customer base. But tech was in the total doldrums.”.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Cloudera

APRIL 29, 2021

Some of these new features are: Prometheus endpoint : NiFi now exposes an endpoint allowing Prometheus to collect monitoring data about NiFi instances and running flows and giving you the ability to create very custom dashboards. and define a sink for where the data should go (Kafka, Site to Site, Prometheus, a database, etc.).

Metrics 75

Metrics Data Lake Dashboards Reporting 75

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. The QuickSight timeline dashboard shows the peak time job runs because of the daily batch job.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

IT 129

IT Business Intelligence Sales Key Performance Indicator 129

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 89

OLAP Data Lake Data-driven Snapshot 89

AWS Big Data

JULY 13, 2023

In particular, they wanted to enable their account managers, sales executives, and analysts to use actual data and facts to get a 360 view of their accounts. Target – Dashboards to be refreshed on a daily basis that would provide insights on sales, gross profit, sales pipelines, and customers.

Optimization 92

Optimization B2B Data Quality Sales 92

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. 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.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

APRIL 12, 2023

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. In this article, I’ll share insights on aligning vision and leadership, as well as reducing complexity to make data actionable for delivering real-time AI solutions.

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects.

Software 52

Software Data Lake Testing Cost-Benefit 52

BizAcuity

JANUARY 31, 2023

Data governance and security measures are critical components of data strategy. KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

JANUARY 5, 2021

Current economic conditions call for greater visibility to inventory and the supply chain and closer attention to key financial metrics. Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. Without context, streaming data is useless.”

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. Data changes. Identify defects and enhancements.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. The raw data can be streamed to Amazon S3 for archiving.

Analytics 115

Analytics IoT Data-driven Snapshot 115

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. We recommend enabling auto scaling for your AWS Glue 3.0 &

Reporting 72

Reporting Metrics Optimization Data Lake 72