Flipboard

DECEMBER 19, 2023

Machine learning (ML) has become critical for post-acquisition data analysis in (scanning) transmission electron microscopy, (S)TEM, imaging and spectroscopy. An emerging trend is the transition to real-time analysis and closed-loop microscope operation.

Machine Learning 65

Machine Learning Machine Learning Data Analysis Data Analysis 65

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

phData

FEBRUARY 21, 2025

A data warehouse enables advanced analytics, reporting, and business intelligence. The data warehouse emerged as a means of resolving inefficiencies related to data management, data analysis, and an inability to access and analyze large volumes of data quickly.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Smart Data Collective

JANUARY 10, 2023

Every company should clearly understand and plan in detail how the received data will be used further, how it can be distributed, and who will get access to it. Ensure cloud data storage. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

IBM Journey to AI blog

DECEMBER 7, 2023

Or that company could tie into a data center, which is built to accommodate even larger warehouses of information. But the creation of new data never slows for long. And if an organization takes its new metrics and performs extensive data analysis on them, one result will be that even more data is created from that analysis.

Cloud Data 115

Cloud Data Data Analysis Data Analysis 115

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

phData

NOVEMBER 14, 2023

Whether a simple mapping exercise, determining the optimal route between a series of points, or performing a site suitability analysis, geospatial problems run the gamut from simple to exceptionally complex. LiDAR point cloud data sets can be truly massive–the data set we will showcase here contains over 100 billion points.

Cloud Data 52

Cloud Data Python Data Analysis Data Analysis 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management.

Data Warehouse 97

Data Warehouse SQL Azure ETL 97

Dataversity

MAY 4, 2021

Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].

Data Analysis 52

Data Analysis Data Analysis Data Quality Data Visualization 52

Pickl AI

DECEMBER 26, 2024

Overcoming these challenges ensures the cloud remains a powerful ally in Data Science initiatives. Best Practices for Effective Cloud Data Science To maximise the benefits of cloud computing for Data Science, organisations must adopt best practices that streamline processes, optimise resource usage, and ensure cost efficiency.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 26, 2024

ODSC East is coming to Boston this April and bringing leading experts in everything from generative AI and LLMs to data analysis to the home of countless AI startups and MIT alike. Like our recent conferences, this conference will be hybrid, featuring both in-person and virtual components.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JANUARY 5, 2023

Python has proven proficient in setting up pipelines, maintaining data flows, and transforming data with its simple syntax and proficiency in automation. Having been built completely for and in the cloud, the Snowflake Data Cloud has become an industry leader in cloud data platforms.

Python 52

Python Data Engineer Data Engineering Data Engineering 52

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science.

AWS 123

AWS Data Preparation Azure Data Scientist 123

Alation

AUGUST 9, 2021

Let Humans Be Humans, Part 2: Add More Data. It is a rare occasion that all of the data a business user needs arrives in a single, perfect table. This is hardly an ideal workflow and the data on which this story is based is out of date the moment the screenshot is taken or the data is extracted from the cloud data warehouse.

Analytics 98

Analytics Analytics Data Warehouse Data Scientist 98

DataRobot

DECEMBER 20, 2021

Submit Data. After Exploratory Data Analysis is completed, you can look at your data. As with any other project, you can just drag and drop a folder with images or use a pre-loaded file that is added or shared within AI Catalog. Configure Settings You Need.

Deep Learning 97

Deep Learning Clustering Deep Learning Exploratory Data Analysis 97

Women in Big Data

DECEMBER 9, 2024

Its strength lies in its ability to handle efficient big data processing and perform complex data analysis with ease. With features like calculated fields, trend lines, and statistical summaries, Tableau empowers users to conduct in-depth analysis and derive actionable insights from their data.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

FEBRUARY 23, 2023

Additionally, Reduces stress on the production system by integrating multiple sources of data. Effectively, it Reduces total turnaround time (TAT) for data analysis and reporting. Essentially, it helps you save time retrieving data from various sources by providing access to critical data.

Data Warehouse 52

Data Warehouse Database Data Analysis Data Analysis 52

DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Here are five key takeaways from one of the biggest data conferences of the year. Data Analysis Must Include Business Value.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

ODSC - Open Data Science

OCTOBER 13, 2023

Yaron Haviv Co-Founder and CTO | Iguazio | In-Person | Session: Implementing Gen AI in Practice Yaron Haviv is a serial entrepreneur who has been applying his deep technological experience in AI, cloud, data, and networking to leading startups and enterprises since the late 1990s.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. For more details, refer to Vector similarity functions.

Python 52

Python Database SQL Machine Learning 52

phData

JANUARY 4, 2023

Legacy platforms are slow to adapt to changes in business use cases, which can lead to loss of opportunities due to critical data analysis not being able to be done in a timely manner. The Snowflake Cloud Data Platform allows true pay-as-you-go cloud storage and computing—all without the need for complex reconfigurations.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

phData

MARCH 27, 2024

The SnowPro Advanced Administrator Certification targets Snowflake Administrators, Snowflake Data Cloud Administrators, Database Administrators, Cloud Infrastructure Administrators, and Cloud Data Administrators.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

Precisely

FEBRUARY 10, 2023

Nearly two-thirds of data practitioners believe they are expected to make data-driven decisions, yet only 30% believe that their actions are genuinely supported by data analysis. As the drive toward data-driven business decisions continues, most executives are keenly aware of this trust gap.

DataOps 52

DataOps Data Observability ML ML 52

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Accelerate data processing and engineer productivity.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

phData

JULY 10, 2024

Unlike traditional BI tools, its user-friendly interface ensures that users of all technical levels can seamlessly interact with data. The platform’s integration with cloud data warehouses like Snowflake AI Data Cloud , Google BigQuery, and Amazon Redshift makes it a vital tool for organizations harnessing big data.

SQL 52

SQL Data Warehouse Analytics Analytics 52

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Suppose your business requires more robust capabilities across your technology stack.

Analytics 52

Analytics Analytics SQL ETL 52

phData

JUNE 26, 2024

Luckily, there are a few ways we at phData can help you make informed decisions when purchasing inventory and save you money: As mentioned earlier, we have expert data engineers to collect and clean the relevant data needed for inventory analysis, including sales, current inventory levels, seasonal/promotional, and market trend data.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

phData

APRIL 20, 2023

Hashed PKs were introduced as a means of eliminating the bottleneck encountered by most database sequence generators, making this DV pattern ideal for customers prioritizing data loading performance and using data warehouse automation tools.

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

SEPTEMBER 29, 2023

Personalization: Data engineering paves the path for customer data analysis, enabling financial services to enhance customer experience through personalized offers, loyalty programs, and more. The client needed a partner to set up a cloud data platform and operationalize the new reporting, alerting, and QA environment.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

JANUARY 26, 2023

EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ).

AWS 98

AWS Database Data Science Clean Data 98

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. Data Bank runs just like any other digital bank — but it isn’t only for banking activities, they also have the world’s most secure distributed data storage platform!

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Chatbots Life

APRIL 30, 2024

This elaborate data analysis helps in identifying potential issues and opportunities for improvement. This project will use AWS for cloud-based innovations, including generative AI. The company’s existing Cloud Data Hub on AWS will be a key part of this feature, focusing on improving vehicle safety and features.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Dataversity

JANUARY 22, 2021

The post Traveling in the Age of COVID-19: Big Data Is Watching appeared first on DATAVERSITY. Click to learn more about author Bernard Brode. With news of the first dose of a vaccine successfully administered, it appears that we might finally be seeing the beginning of the end of the COVID-19 pandemic.

Big Data 52

Big Data Big Data Data Analysis Data Analysis 52

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Many different types of data centers can benefit from using AI ….

Data Lakes 40

Data Lakes AI AI Cloud Computing 40