ODSC - Open Data Science

FEBRUARY 2, 2023

Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed. This pushes into big data as well, as many companies now have significant amounts of data and large data lakes that need analyzing.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

SEPTEMBER 17, 2024

NoSQL Databases NoSQL databases like MongoDB or Cassandra are designed to handle unstructured or semi-structured data efficiently. Data Lakes Data lakes are centralised repositories that allow organisations to store all their structured and unstructured data at any scale.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

FEBRUARY 21, 2023

It involves using statistical and computational techniques to identify patterns and trends in the data that are not readily apparent. Data mining is often used in conjunction with other data analytics techniques, such as machine learning and predictive analytics, to build models that can be used to make predictions and inform decision-making.

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

IBM Journey to AI blog

DECEMBER 7, 2023

Here’s an overview of the key characteristics: AI-powered analytics : Integration of AI and machine learning capabilities into OLAP engines will enable real-time insights, predictive analytics and anomaly detection, providing businesses with actionable insights to drive informed decisions.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action.

AWS 84

AWS ML ML Database 84

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

Tableau

SEPTEMBER 22, 2022

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work?

Tableau 98

Tableau Analytics Analytics AI 98

Tableau

SEPTEMBER 23, 2022

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work?

Tableau 98

Tableau Analytics Analytics AI 98

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

IBM Journey to AI blog

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access.

AI 74

AI AI Machine Learning Machine Learning 74

ODSC - Open Data Science

MARCH 11, 2024

You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques. You’ll also hear use cases on how data can be used to optimize business performance.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

Pickl AI

SEPTEMBER 18, 2024

Read More: How Airbnb Uses Big Data and Machine Learning to Offer World-Class Service Netflix’s Big Data Infrastructure Netflix’s data infrastructure is one of the most sophisticated globally, built primarily on cloud technology. petabytes of data.

Big Data 52

Big Data Big Data Apache Kafka 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. This organization manages fleets of globally distributed edge gateways. It securely transmits messages to and from all of your IoT devices and applications with low latency and high throughput.

AWS 106

AWS ML ML Machine Learning 106

Alation

MARCH 21, 2023

Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue.

Analytics 52

Analytics Analytics Data Silos Big Data 52

Pickl AI

OCTOBER 10, 2024

Informatica’s AI-powered automation helps streamline data pipelines and improve operational efficiency. Common use cases include integrating data across hybrid cloud environments, managing data lakes, and enabling real-time analytics for Business Intelligence platforms.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

Tableau

SEPTEMBER 22, 2022

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work?

Tableau 52

Tableau Analytics Analytics AI 52

Pickl AI

DECEMBER 11, 2024

Begin by identifying bottlenecks in your existing pipeline, such as duplicate data collection points or slow processing times. Implement tools that allow real-time data integration and transformation to maintain accuracy and timeliness.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. These changes are streamed into Iceberg tables in your data lake. New user sign-up? Workout completed?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Flipboard

DECEMBER 18, 2023

Amazon Redshift empowers users to extract powerful insights by securely and cost-effectively analyzing data across data warehouses, operational databases, data lakes, third-party data stores, and streaming sources using zero-ETL approaches.

AWS 139

AWS Data Warehouse ETL SQL 139

AWS Machine Learning Blog

AUGUST 15, 2024

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. He works closely with enterprise customers building data lakes and analytical applications on the AWS platform.

ML 125

ML ML Data Preparation AWS 125

The MLOps Blog

MARCH 21, 2023

Machine learning platform in healthcare There are mostly three areas of ML opportunities for healthcare, including computer vision, predictive analytics, and natural language processing. Solution Data lakes and warehouses are the two key components of any data pipeline. Data engineers are mostly in charge of it.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Pickl AI

MARCH 10, 2025

AI-Powered Insights Power BI incorporates Artificial Intelligence (AI) capabilities for advanced analytics like Natural Language Processing (NLP), image recognition, and machine learning model integration. Example: An e-commerce platform uses AI in Power BI to predict customer churn based on historical purchase behaviour.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

ODSC - Open Data Science

NOVEMBER 22, 2023

Data Version Control for Data Lakes: Handling the Changes in Large Scale In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management.

Data Lakes 52

Data Lakes Predictive Analytics AI AI 52

Alation

JANUARY 27, 2022

Raw data includes market research, sales data, customer transactions, and more. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. What Is the Value of Analytics?

Data Governance 52

Data Governance Analytics Analytics Data Quality 52