Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

Smart Data Collective

JULY 20, 2021

billion in 2020 and is expected to reach USD 47.6 10 Panoply: In the world of CRM technology, Panoply is a data warehouse build that automates data collection, query optimization and storage management. This tool will help you to sync and store data from multiple sources quickly. billion in 2021.

Big Data 142

Big Data Big Data ETL Analytics 142

Dataconomy

SEPTEMBER 27, 2024

This experience helped me to improve my Python skills and get more practical experience working with big data. In 2020, I transitioned to product analytics at OZON Fintech ― one of the leading marketplaces in Russia. Another important change is that the new technologies are greatly accelerating the work with data.

Analytics 113

Analytics Analytics Big Data Big Data 113

Alation

JULY 22, 2021

Students Harness the Power of Data Intelligence. During the Summer 2020 semester, Dr. Haigh utilized Alation to teach the first ‘Intro to Databases’ course. This course called on the students to utilize the catalog to find and query sample data, and then to publish results into articles on the site. “The

Big Data 98

Big Data Big Data Data Warehouse Data Governance 98

Tableau

MARCH 9, 2021

We just completed our annual Tableau Partner Executive Kick Offs (PEKO), where top partners from around the world join us virtually to celebrate all the great performances in 2020 and hear from Tableau executives on our direction for FY22. Thank you to all of our nominees for their incredible work in 2020! We appreciate you AWS!

Tableau 52

Tableau AWS Data Warehouse SQL 52

Alation

DECEMBER 15, 2022

March, 2020: Gartner names Alation a 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. June 2020: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 4th time. May 2021: Inc Magazine names Alation a Best Workplace of 2021.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. The GDPR and CCPA are fundamentally changing how businesses work with data.

Data Warehouse 52

Data Warehouse Data Governance Cloud Data Machine Learning 52

Tableau

DECEMBER 22, 2020

December 22, 2020 - 9:46pm. December 23, 2020. We recently wrapped up participation in the all-virtual AWS re:Invent 2020 where we shared our experiences from scaling Tableau Public ten-fold this year. If you missed AWS re:Invent 2020, you’re not out of luck! Brian Matsubara. RVP of Global Technology Alliances.

Analytics 52

Analytics Analytics Tableau AWS 52

IBM Journey to AI blog

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 Data Analysis Data Analysis SQL 52

DataSeries

JANUARY 18, 2023

Classical data systems are founded on this story. Nonetheless, the truth is slowing starting to emerge… The value of data is not in insights Most dashboards fail to provide useful insights and quickly become derelict. sec) We typically translate this into a chart to aid in comprehension.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Warehouse Deep Learning 52

Alation

AUGUST 17, 2021

According to IDC, by 2025, global data will grow to a whopping 175 zettabytes, and much of that growth will be in the cloud. This is approximately four times the amount produced in 2020 according to the World Economic Forum,” notes IDC. How are folks managing this surge in volume?

Data Governance 52

Data Governance Data Warehouse Cloud Data Data Quality 52

Alation

JUNE 9, 2021

According to IDC , more than 59 zettabytes (59,000,000,000,000,000,000,000 bytes) of data was created, captured, and consumed in the world in 2020. It’s almost quaint to think that 20 years ago, organizations generally didn’t have enough data to perform desired analyses.

Data Governance 59

Data Governance Database Cloud Data Machine Learning 59

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. On the other hand, Snowflake wants to drive as much storage and compute onto their platform as possible too.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

FEBRUARY 13, 2020

Zaidi’s vision for the value of machine learning data catalogs closely resembles the data cataloging vision presented by our Cofounder Aaron Kalb at Strata + Hadoop World 2016. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

Alation

FEBRUARY 13, 2020

Industry leaders like General Electric, Munich Re and Pfizer are turning to self-service analytics and modern data governance. They are leveraging data catalogs as a foundation to automatically analyze technical and business metadata, at speed and scale. “By

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

ODSC - Open Data Science

JULY 11, 2023

They are typically used by organizations to store and manage their own data. A data lake house is a hybrid approach that combines the benefits of a data lake and a data warehouse. Photo from unsplash.com Is cloud computing just using someone else’s data center? Not a cloud computer?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52