IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 121

Data Architecture Data Warehouse Statistics Visualization 121

CIO Business Intelligence

JULY 26, 2023

The CIO delights in detailing the work of Re/Max’s technology team, which is building the pipelines and cloud-native applications to deliver agents in the field the most refined and insightful data from more than 500 MLS listing serivces in the US and Canada as quickly as possible.

Data Lake 89

Data Lake Digital Transformation Machine Learning Data Architecture 89

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric? Are there things they should keep in mind?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

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. DataOps Project Design and Implementation.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support. This allowed us to derive insights more easily.”

Digital Transformation 78

Digital Transformation Cost-Benefit Informatics Data mining 78

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. Mark: Freshness monitors the frequency of when the data resources are updated, which helps identify the most ideal data for decision making.

Metrics 83

Metrics Data Quality Data Lake Statistics 83

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

FEBRUARY 6, 2023

Based on the statistics of individual and aggregated application runs per queue and per user, you can determine the existing workload distribution by user. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

AWS Big Data

JUNE 6, 2023

The purpose of this step is to understand our data quality statistics at the table level as well as at the ruleset level. Use the queries in this section to analyze your data quality metrics and create an Athena view to use to build a QuickSight dashboard in the next step.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

Peter James Thomas

APRIL 9, 2019

These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. Data Visualisation. Statistics & Data Science. Data Science Challenges – It’s Deja Vu all over again! Analytics & Big Data.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

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