Dataconomy

MARCH 4, 2025

Each stage is crucial for deriving meaningful insights from data. Data gathering The first step is gathering relevant data from various sources. This could include data warehouses, data lakes, or even external datasets.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

ODSC - Open Data Science

FEBRUARY 24, 2023

While machine learning frameworks and platforms like PyTorch, TensorFlow, and scikit-learn can perform data exploration well, it’s not their primary intent. There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. Overview of One Lake Fabric features a lake-centric architecture, with a central repository known as OneLake.

Power BI 233

Power BI Data Pipeline Data Warehouse Data Engineering 233

Data Science Connect

JULY 28, 2023

Cloud-Based IoT Platforms Cloud-based IoT platforms offer scalable storage and computing resources for handling the massive influx of IoT data. These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineer 130

Dataconomy

SEPTEMBER 4, 2023

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

AUGUST 21, 2023

You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each stage of the data preparation workflow (including data selection, purification, exploration, visualization, and processing at scale) within a single visual interface.

AWS 97

AWS Data Lakes Clustering Data Preparation 97

AWS Machine Learning Blog

DECEMBER 11, 2024

He has worked on a variety of products, including data visualization tools and mobile applications. This approach works well for teams like ours with builders experienced in these technologies, as well as for teams who need deep control over every component of the tech stack to meet their business objectives. Jonathan Garcia is a Sr.

AWS 101

AWS Database AI AI 101

ODSC - Open Data Science

FEBRUARY 2, 2023

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Women in Big Data

OCTOBER 9, 2024

The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline? A traditional data pipeline is a structured process that begins with gathering data from various sources and loading it into a data warehouse or data lake.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Smart Data Collective

DECEMBER 13, 2022

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose.

Data Analysis 145

Data Analysis Data Analysis Analytics Analytics 145

IBM Journey to AI blog

SEPTEMBER 19, 2023

js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges. There can be fragmented data, a short supply of data science skills and rigid IT standards for training and deployment. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Built-in connectors bring in data from every single channel. Let’s get into the nuts and bolts.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Built-in connectors bring in data from every single channel. Let’s get into the nuts and bolts.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

AWS Machine Learning Blog

DECEMBER 4, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Data Science & Analytics Manager with the responsibility of Search, Recommendation, and Growth domains.

AWS 121

AWS Predictive Analytics ML ML 121

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

AWS Machine Learning Blog

DECEMBER 7, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Data Science & Analytics Manager with the responsibility of Search, Recommendation, and Growth domains. He loves combining open-source projects with cloud services.

AWS 127

AWS Algorithm Data Science Machine Learning 127

Pickl AI

JANUARY 28, 2025

This involves several key processes: Extract, Transform, Load (ETL): The ETL process extracts data from different sources, transforms it into a suitable format by cleaning and enriching it, and then loads it into a data warehouse or data lake. Data Lakes: These store raw, unprocessed data in its original format.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

MAY 15, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Lead Data Scientist with the responsibility of Search & Recommendation Engine and Customer Behavior Models.

Algorithm 88

Algorithm Data Scientist Machine Learning Machine Learning 88

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Tableau

DECEMBER 7, 2022

Think of Tableau as your data visualization and business intelligence layer on top of Data Cloud—allowing you to see, understand, and act on your live customer data. These features cover functionality for enterprise customer data in five key categories: Connect, Harmonize, Unify, Analyze and Predict, and Act.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

ODSC - Open Data Science

MARCH 30, 2023

First ODSC Europe 2023 Sessions Announced At ODSC Europe this June, our expert speakers will cover a wide range of topics, tools, and techniques that data scientists of all levels can apply in their work. Check a few of them out here.

Azure 52

Azure ML ML Data Modeling 52

Pickl AI

AUGUST 9, 2024

Data Lake vs. Data Warehouse Distinguishing between these two storage paradigms and understanding their use cases. Students should learn how data lake s can store raw data in its native format, while data warehouses are optimised for structured data.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

AWS Machine Learning Blog

APRIL 12, 2023

With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks. Lookout for Equipment lets you configure a scheduler that wakes up regularly (for example, every hour) to send fresh data to the trained model and collect the results.

AWS 106

AWS ML ML Machine Learning 106

Alation

MARCH 29, 2021

Alation helps connects to any source Alation helps connect to virtually any data source through pre-built connectors. Alation crawls and indexes data assets stored across disparate repositories, including cloud data lakes, databases, Hadoop files, and data visualization tools.

Machine Learning 59

Machine Learning Machine Learning Data Lakes Hadoop 59

IBM Journey to AI blog

JULY 3, 2024

This includes integration with your data warehouse engines, which now must balance real-time data processing and decision-making with cost-effective object storage, open source technologies and a shared metadata layer to share data seamlessly with your data lakehouse.

AI 45

AI AI Data Quality Database 45

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

Tableau

OCTOBER 8, 2024

Tableau Next is the first BI platform with a workflow engine that spans the analytics journey from raw data, to a data lake, a semantic layer, a viz layer, and an action layer. That said, we are dedicated to supporting our existing on-premises customers via enhancements to Tableau Server so they can benefit from new innovations.

Tableau 52

Tableau Analytics Analytics Data Lakes 52

Tableau

OCTOBER 8, 2024

Tableau Einstein is the first BI platform with a workflow engine that spans the analytics journey from raw data, to a data lake, a semantic layer, a viz layer, and an action layer. Does the Marketplace replace Tableau Public?

Tableau 52

Tableau Analytics Analytics Data Lakes 52

AWS Machine Learning Blog

JUNE 22, 2023

In LnW Connect, an encryption process was designed to provide a secure and reliable mechanism for the data to be brought into an AWS data lake for predictive modeling. Her research interest includes model interpretability, causal analysis, human-in-the-loop AI and interactive data visualization.

AWS 107

AWS ML ML Machine Learning 107

Alation

FEBRUARY 13, 2020

Data Literacy—Many line-of-business people have responsibilities that depend on data analysis but have not been trained to work with data. Their tendency is to do just enough data work to get by, and to do that work primarily in Excel spreadsheets. Who needs data literacy training? Who can provide the training?

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

DagsHub

MARCH 21, 2024

It is suitable for a wide range of use cases, such as data lake storage, backup and recovery, and content delivery. Data Visualization and Curation Voxel51 for Enhanced Insights Voxel51 offers a powerful MLOps framework for data visualization and curation.

Machine Learning 52

Machine Learning Machine Learning AWS Data Visualization 52

IBM Journey to AI blog

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

phData

FEBRUARY 24, 2023

Organizations can unite their siloed data and securely share governed data while executing diverse analytic workloads. Snowflake’s engine provides a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.

Analytics 52

Analytics Analytics Database Python 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Pickl AI

SEPTEMBER 5, 2024

Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage. Key features and benefits of Azure for Data Science include: Scalability: Easily scale resources up or down based on demand, ideal for handling large datasets and complex computations.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Alation

FEBRUARY 20, 2020

And this is why we’re excited to partner with Satyen Sangani, Venky Ganti, Aaron Kalb and the rest of the Alation team as they scale go-to-market for the Alation data catalog. Today most progressive data-centered businesses have modern data visualization tools and some form of data lake.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52