ODSC - Open Data Science

JUNE 22, 2023

While databases were the traditional way to store large amounts of data, a new storage method has developed that can store even more significant and varied amounts of data. These are called data lakes. What Are Data Lakes? In many cases, this could mean using multiple security programs and platforms.

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Data Lakes Data Warehouse Database Data Science 98

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Organisationen können je nach ihren spezifischen Bedürfnissen und Anforderungen zwischen einem Data Warehouse und einem Data Lakehouse wählen.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Data Science Blog

FEBRUARY 7, 2023

Für Data Science ja sowieso. Schon damals in Ansätzen, aber spätestens heute gilt es zu recht als Best Practise, die Datenanbindung an ein Data Warehouse zu machen und in diesem die Daten für die Reports aufzubereiten. Ein Data Warehouse ist eine oder eine Menge von Datenbanken. Es ist ein komplexes System.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

phData

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

Data Science 396

Data Science Machine Learning Machine Learning Analytics 396

ODSC - Open Data Science

JUNE 7, 2023

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? This can be structured, semi-structured, and even unstructured data. Where does it go?

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Flipboard

APRIL 17, 2023

Enterprises often rely on data warehouses and data lakes to handle big data for various purposes, from business intelligence to data science. A new approach, called a data lakehouse, aims to …

Data Lakes 123

Data Lakes Data Warehouse Big Data Big Data 123

Data Science Blog

JULY 20, 2024

Die Bedeutung effizienter und zuverlässiger Datenpipelines in den Bereichen Data Science und Data Engineering ist enorm. Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends.

Azure 130

Azure Power BI SQL Data Lakes 130

Dataconomy

NOVEMBER 1, 2017

Anderson, Talend Regional Manager, Customer Success Architect & Kent Graziano, Snowflake Senior Technical Evangelist So you want to build a Data Lake? Perhaps you think a Data Lake will eliminate the need for a Data Warehouse and all your business users will merely. Ok, sure let’s talk about that.

Data Lakes 131

Data Lakes Data Warehouse Big Data Big Data 131

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Selecting one among […].

Data Lakes 292

Data Lakes Hadoop Data Science Analytics 292

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the modern data world, Lakehouse has become one of the most discussed topics for building a data platform.

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Data Lakes Data Science Analytics Analytics 348

Dataconomy

APRIL 13, 2021

Data professionals have long debated the merits of the data lake versus the data warehouse.

Data Lakes 237

Data Lakes Data Warehouse Hadoop Analytics 237

phData

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data AWS 52

Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

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. Now, we can save the data as delta tables to use later for sales analytics.

Power BI 195

Power BI Data Pipeline Data Warehouse Data Engineer 195

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 98

Data Science Analytics Analytics Data Scientist 98

ODSC - Open Data Science

MAY 7, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. James has been at the forefront of data architecture at Microsoft for the better part of the last nine years. James Serra discusses data lakehouses, which merge data lakes and data warehouses.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Those are the big data science announcements of the week.

Data Science 106

Data Science Azure SQL Machine Learning 106

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 101

Tableau Data Lakes Data Warehouse SQL 101

ODSC - Open Data Science

JANUARY 18, 2024

These professionals will work with their colleagues to ensure that data is accessible, with proper access. So let’s go through each step one by one, and help you build a roadmap toward becoming a data engineer. Identify your existing data science strengths. Stay on top of data engineering trends. Get more training!

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

ODSC - Open Data Science

OCTOBER 25, 2024

Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai In this demo, you’ll see how Delphina’s AI-powered “junior” data scientist can transform the data science workflow, automating labor-intensive tasks like data discovery, transformation, and model building.

AI 52

AI AI Data Scientist Data Lakes 52

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI.

Data Lakes 98

Data Lakes AI AI Data Warehouse 98

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Blog

MARCH 3, 2023

der Aufbau einer Datenplattform, vielleicht ein Data Warehouse zur Datenkonsolidierung, Process Mining zur Prozessanalyse oder Predictive Analytics für den Aufbau eines bestimmten Vorhersagesystems, KI zur Anomalieerkennung oder je nach Ziel etwas ganz anderes. appeared first on Data Science Blog.

Data Warehouse 147

Data Warehouse Data Lakes Data Engineer Data Engineering 147

ODSC - Open Data Science

JANUARY 30, 2024

Building and maintaining data pipelines Data integration is the process of combining data from multiple sources into a single, consistent view. This involves extracting data from various sources, transforming it into a usable format, and loading it into data warehouses or other storage systems.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

Data Warehouse 98

Data Warehouse Data Lakes Business Intelligence Business Intelligence 98

ODSC - Open Data Science

JUNE 12, 2023

They all agree that a Datamart is a subject-oriented subset of a data warehouse focusing on a particular business unit, department, subject area, or business functionality. The Datamart’s data is usually stored in databases containing a moving frame required for data analysis, not the full history of data.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

ODSC - Open Data Science

FEBRUARY 15, 2024

Join this session with Barr Moses to get his take on the question of whether Gen AI is a data engineering or software engineering problem. Using real-world examples, you’ll see how you can reduce costs and vendor lock-in by migrating from proprietary data warehouses to an open data lake.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

JUNE 19, 2023

Google introduces Data Clean Rooms in BigQuery How to share secure and private Data in BigQuery Cleaning Rooms medium.com This makes sense, because Data Clean Rooms are meant for sharing data with third parties. Hence, with this feature you can also ensure that data is shared there securely.

Data Lakes 52

Data Lakes Data Warehouse SQL ML 52

Precisely

JUNE 24, 2024

A data leader from the manufacturing industry mentioned their need for a data mesh, but was still wrestling with a number of manual data management processes and needed to first focus on organizing their data into a local data warehouse or data lake.

Analytics 94

Analytics Analytics Data Governance Data Lakes 94

AWS Machine Learning Blog

JUNE 5, 2023

One of the most common formats for storing large amounts of data is Apache Parquet due to its compact and highly efficient format. This means that business analysts who want to extract insights from the large volumes of data in their data warehouse must frequently use data stored in Parquet.

Machine Learning 73

Machine Learning Machine Learning AWS Data Lakes 73

ODSC - Open Data Science

FEBRUARY 24, 2023

Apache Doris can better meet the scenarios of report analysis, ad-hoc query, unified data warehouse, Data Lake Query Acceleration, etc. How to learn more about data exploration tools and uses There are plenty of data exploration tools available and countless ways to use them.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Pickl AI

AUGUST 1, 2023

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Future of Data Engineering The Data Engineering market will expand from $18.2

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Savings may vary depending on configurations, workloads and vendors.

AI 111

AI AI Data Warehouse Machine Learning 111