First in the industry to realize Lakehouse vision, Databricks delivers up to 9x better price/performance than traditional cloud data warehouses
A lakehouse architecture simplifies data and AI for organizations. In the past, data teams had to maintain proprietary data warehouses for BI workloads and data lakes for data science and machine learning workloads, because no single data platform could meet the performance needs of BI and the flexibility needs of data science. Expensive and complicated to maintain, this coexistence of legacy architectures has created data silos that slow innovation and stifle data team productivity.
Many things are taking place:
Data and analytics are the key to marketing-led growth, but marketers need to overcome key
Digital innovation and transformation continue to become more prevalent than ever before - and they're not slowing down any time soon. As all industries feel the effects of COVID-19, businesses are adjusting the ways they communicate with and provide services to customers. Both the customer and the marketer are increasingly more reliant on digital channels to interact. Meanwhile, budgets are in flux or more limited and it is critical that no dollar goes to waste.
You can use RPA to help with data cleansing for analytics - TechRepublic
This tool doesn't work for big data, but it can help you get your data ready to be analyzed. Here's why.
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Most IT professionals have seen business processes in which users had to key documents like invoices into one system and then rekey the same information into another system because there wasn't an easy way to automate integration between the systems.
This is painstaking manual work for users, and it dramatically slows down business processes. Yet, if this work is left undone, business processes don't flow, and the accuracy of analytics outcomes is at risk because of poor data quality.
Detroit Tigers: A focus on analytics will only help the rebuild
The Detroit Tigers are re-tooling and rebuilding, as is evident by the recent hiring of a new manager. As A.J. Hinch moves into the managerial role, he has begun to assemble his staff, which looks to be an exciting staff.
Most notably, Hinch named Derek Fetter as a pitching coach, as well as announcing Ramón Santiago would also be returning. Hinch himself is very reliant on analytics and one of the people who will employ this on the field, and he valued that when assembling his coaching staff .
Quite a lot has been going on:
Fishtown Analytics raises $29.5M Series B for its data engineering platform – TechCrunch
Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 million Series B round led by Sequoia Capital, with participation from previous investors Andreessen Horowitz and Amplify Partners.
The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge. Its focus is on data modeling, with its dbt tool allowing anybody who knows SQL to build data transformation workflows. Dbt also features support for automatically testing data quality and documenting changes, but maybe most importantly it uses standard software engineering techniques to help engineers collaborate on code and integrate changes continuously.
Senior Manager, Analytics job with PVH | 149426
PVH Corp.
With a history going back over 130 years, PVH has excelled at growing brands and businesses with rich American heritages, becoming one of the largest global apparel companies. We have over 30,000 associates operating in over 40 countries with over $9 billion in revenues (2018).
Department and Team
The Ecommerce team is responsible for managing the European owned-and-operated tommy.com and calvinklein.com sites across all European markets. The team executes all necessary functions to manage the Ecommerce business end-to-end. Both brands are growing at a rapid pace and have very ambitious growth targets for the coming years.
Replica Analytics Data Synthesis Platform Launched to Support Data Transparency and Data Science
Replica Analytics , a leading provider of privacy protective synthetic data , is proud to announce that it is providing its data synthesis platform to PHUSE members. These data scientists can now synthesize health data using common statistical programming languages, and readily integrate synthesis within their current analytical pipelines. The synthetic data are non-identifiable variants of the original data.
While this new capability through Replica Analytics is intended for non-commercial purposes, it allows members to experiment with the technology and start creating datasets and simulators that can be shared broadly within the community. The generative models created during synthesis can also be used as data simulators, augmenting small datasets and creating synthetic cohorts.
Palletizer System with Built-In Analytics | Healthcare Packaging
The Alvey 890i series from Honeywell Inteligrated is a fully automated palletizing system that also analyzes real time and historic data to detect any performance-impacting conditions.
At PACK EXPO Connects, Honeywell Intelligrated showcased its Alvey 890i palletizer. According to Honeywell Intelligrated, the Alvey series of palletizers have been used in industry for more than three decades and are known for their ability to handle a wide range of packaging types, stacking patterns, and difficult-to-handle products in a compact footprint along with best-in class-safety, performance, and ease of maintenance.
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