Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Data Mining is an important research process.

Data mining 143

Data mining Data Science Informatics Statistics 143

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Cloudera

JANUARY 26, 2022

The amount of data being collected grew, and the first data warehouses were developed. Big Data” became a topic of conversations and the term “Cloud” was coined. . So private clouds, or on-premises data centers, became more suitable for sensitive data.

Data Processing 88

Data Processing IoT Cost-Benefit Digital Transformation 88

Alation

JULY 22, 2021

Alation has a big vision: to empower a curious and rational world. 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. Alation has helped them nurture data research, collaboration and analytical skills,” she continues.

Informatics 98

Informatics Big Data Insurance Metadata 98

erwin

OCTOBER 31, 2019

In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s What data do we have and where is it? Where Are the Skeletons?

Data Governance 105

Data Governance Metadata Risk Data Lake 105

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. for the big data product, provides the REST API service interface. Mybatis framework is used for data access to facilitate secondary development. 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. Meanwhile, Domo grows external data value.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

MAY 16, 2019

The traditional Data Warehouse ETL process has splintered into many smaller components. Ingest is now focused data capture and real-time trend analysis where possible. Once data is brought under control in a system like Cloudera, then the work of Data Preparation, Quality begins. Visit us at Informatica World 2019.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

Peter James Thomas

JUNE 20, 2019

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Business Process Reengineering (BPR) used to be a big deal. Here we come back to the upward trend in searches for Data Science.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

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

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.

Data Warehouse 78

Data Warehouse Visualization Snapshot Data-driven 78

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

IBM Big Data Hub

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

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

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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

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

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. Operating “in-data” to enable the direct query of unstructured data lakes, providing a visualization layer on top of them. Two decades ago, it was Cognos and MicroStrategy.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

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

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.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52