FineReport

MAY 6, 2020

Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. Analisis big data: pembelajaran konsep data tidak terstruktur. Sebagai software pembuat laporan dan pemvisualisasi data, FineReport memiliki dua fungsi utama: data entry dan data display.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

Alation

JULY 22, 2021

Our platform combines data insights with human intelligence in pursuit of this mission. In the fall of 2019, Alation brought this mission to higher education. The Data Intelligence Project has enabled hundreds of students to learn and conduct data-based research,” shares Dr. Haigh. “In

Informatics 98

Informatics Big Data Insurance Metadata 98

FineReport

NOVEMBER 17, 2021

It was an American interactive data visualization software company of business intelligence. In 2019, the company was acquired by Salesforce. Data Management. Tableau : There are specialized modules to manage metadata. FineReport: When organizing data management, we may face data source replacement.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 80

Data Lake Data Architecture Data-driven Data Warehouse 80

AWS Big Data

JUNE 6, 2023

Unless, of course, the rest of their data also resides in the Google Cloud. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake.

Analytics 55

Analytics Data Lake Testing Optimization 55

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Validates products for conformance.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

JANUARY 13, 2022

Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Data fabric has captured most of the limelight; it focuses on the technologies required to support metadata-driven use cases across hybrid and multi-cloud environments. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Octopai

JULY 17, 2019

Well, that’s the problem – BI teams today tend to have to map out data lineage manually since they are usually dealing with multi-vendor environments. And if not impossible, then you can bet it’ll take the data analysts a LONG time to figure out. Data lineage visualization is an overview and a journey map of our data.

Metadata 53

Metadata Visualization Reporting Finance 53

Octopai

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse. Data Dictionaries.

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

Alation

FEBRUARY 8, 2022

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Similar to the data-as-a-product approach outlined here, the goal of applying FAIR principles is to optimize the reusability of data. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. DATA SECURITY AND GOVERNANCE. DATA CHAMPIONS. Award Categories.

Machine Learning 56

Machine Learning Data Architecture IoT Metadata 56

Alation

FEBRUARY 13, 2020

Gartner: Magic Quadrant for Metadata Management Solutions. Magic Quadrant for Metadata Management Solutions 4 based on its ability to execute and completeness of vision. Today, metadata management has become a critical business driver as data leaders seek to govern and maximize the value from the influx of data at their disposal.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52