FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. BIRT consists of two main components: a visual report designer for creating BIRT designs, and runtime components that can be deployed to any Java environment. . From Google.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 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. Power BI, an open-source alternative to tableau, creates amazing data experiences, with memorable reports personalized with your KPI s and brand.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure. Select Directly query your data.

Data Warehouse 82

Data Warehouse Visualization Snapshot Data-driven 82

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Most of the data management moved to back-end servers, e.g., databases.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 300

Testing Machine Learning Consulting Data Quality 300

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Sisense

FEBRUARY 24, 2021

And while organizations are trying to bridge the skills gap by hiring data scientists, data analysts, and data engineers, some are giving these highly technical individuals a seat in the C-suite in the form of the chief data officer (CDO). Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Sisense

MAY 28, 2019

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. Two orthogonal approaches to data analytics have developed in this decade of BI: 1. Two decades ago, it was Cognos and MicroStrategy.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 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. Guru Havanur serves as a Principal, Big Data Engineering and Analytics team in Tricentis.

Software 52

Software Data Lake Testing Cost-Benefit 52

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. For example, one of the questions which has provided a guide throughout our planning stages is: “ What can data science teams learn from each other? ethics in AI.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 13, 2020

“Data catalogs are proving to be key to the success of business intelligence efforts and important pieces of a enterprises overall data governance strategy.”. Ventana Research’s 2018 Digital Innovation Award for Big Data. The award recognizes a technology that best exemplifies innovation in big data.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52