Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. The post A Detailed Introduction on Data Lakes and Delta Lakes appeared first on Analytics Vidhya.

Data Lakes 271

Data Lakes Big Data Big Data Data Science 271

Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering?

Data Engineer 391

Data Engineer Data Engineering Data Engineering Data Engineering 391

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Azure 398

Azure Data Warehouse Data Lakes Analytics 398

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 399

Data Science Machine Learning Machine Learning Analytics 399

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Dataconomy

FEBRUARY 21, 2020

High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data. The post How to make data lakes reliable appeared first on Dataconomy.

Data Lakes 225

Data Lakes Machine Learning Machine Learning Analytics 225

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 […].

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Data Lakes Hadoop Data Science Analytics 349

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.

Data Lakes 358

Data Lakes Data Science Analytics Analytics 358

Flipboard

NOVEMBER 22, 2024

For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

Data Governance 132

Data Governance ML ML Data Lakes 132

Dataconomy

JULY 23, 2018

Since data has been called the “oil” of the new economy, it’s easy to assume that more is better. You can never have too much oil, so the same goes for data too, right? Hence there has been a lot of hype about data lakes over the past few years.

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Data Lakes Big Data Big Data Data Science 191

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

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Data Lakes Data Warehouse Big Data Big Data 135

ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

Data Science Blog

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. It offers full BI-Stack Automation, from source to data warehouse through to frontend.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

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

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.

Data Lakes 98

Data Lakes Data Warehouse Database Data Science 98

Dataconomy

JUNE 14, 2016

Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data.

Data Lakes 126

Data Lakes Analytics Analytics Data Science 126

Data Science Blog

FEBRUARY 7, 2023

Für Data Science ja sowieso. Was gerade zum Trend wird, ist der Aufbau eines Data Lakehouses. Ein Lakehouse inkludiert auch clevere Art und Weise auch einen Data Lake. Die Inhalte des Data Lakes sind bestenfalls etwas vorsortiert, aber eigentlich hofft man ja nicht, da wieder irgendwas drin wiederfinden zu müssen.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

ODSC - Open Data Science

AUGUST 15, 2023

Recently we’ve seen lots of posts about a variety of different file formats for data lakes. There’s Delta Lake, Hudi, Iceberg, and QBeast, to name a few. It can be tough to keep track of all these data lake formats — let alone figure out why (or if!) And I’m curious to see if you’ll agree.

Data Lakes 98

Data Lakes ETL Data Science Algorithm 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools.

Data Science 68

Data Science AWS Hadoop Data Scientist 68

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. As data lakes gain prominence as a preferred solution for storing and processing enormous datasets, the need for effective data version control mechanisms becomes increasingly evident.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Dataconomy

APRIL 13, 2021

Data professionals have long debated the merits of the data lake versus the data warehouse. But this debate has become increasingly intense in recent times with the prevalence of data and analytics workloads in the cloud, the growing frustration with the brittleness of Hadoop, and hype around a new architectural.

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Data Lakes Data Warehouse Hadoop Analytics 237

Dataconomy

NOVEMBER 24, 2019

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. Without data, you simply can’t. And IBM has the recipe for this.

Data Scientist 254

Data Scientist Data Lakes Analytics Analytics 254

Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. Azure Synapse Analytics This is the future of data warehousing. Azure Synapse Analytics This is the future of data warehousing. Microsoft Azure.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

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

insideBIGDATA

SEPTEMBER 7, 2023

Starburst, the data lake analytics platform, today extended their support for the most widely used multi-purpose, high-level programming language, Python with PyStarburst, as well as announced a new integration with the open source Python library, Ibis, built in collaboration with composable data systems builder and Ibis maintainer, Voltron Data. (..)

Python 222

Python Data Lakes Analytics Analytics 222

Dataconomy

SEPTEMBER 23, 2024

In today’s digital era, data is the key that allows companies to unlock better decision-making, understand customer behavior and optimize campaigns. However, simply acquiring all available data and storing it in data lakes does not guarantee success.

Data Lakes 103

Data Lakes Data Silos Analytics Analytics 103

Data Science 101

DECEMBER 16, 2019

Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter. Here they are.

Cloud Data 81

Cloud Data Data Science Azure Natural Language Processing 81

ODSC - Open Data Science

FEBRUARY 2, 2023

Here’s what we found for both skills and platforms that are in demand for data scientist jobs. Data Science Skills and Competencies Aside from knowing particular frameworks and languages, there are various topics and competencies that any data scientist should know. Joking aside, this does infer particular skills.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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 … But these architectures have limitations and tradeoffs that make them less than ideal for modern teams.

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Data Lakes Data Warehouse Big Data Big Data 123

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 94

Data Science Analytics Analytics Data Scientist 94

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. Die Definition eines Data Lakehouse Ein Data Lakehouse ist eine moderne Datenspeicher- und -verarbeitungsarchitektur, die die Vorteile von Data Lakes und Data Warehouses vereint.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

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 250

Power BI Data Pipeline Data Warehouse Data Engineering 250

Data Science Blog

JULY 20, 2024

Die Bedeutung effizienter und zuverlässiger Datenpipelines in den Bereichen Data Science und Data Engineering ist enorm. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

Azure 130

Azure SQL Power BI Data Lakes 130

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

Dataversity

MARCH 24, 2021

Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The post How to Ensure Your New Cloud Data Lake Is Secure appeared first on DATAVERSITY.

Data Lakes 59

Data Lakes Cloud Data ML ML 59

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

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 102

Tableau Data Lakes Data Warehouse SQL 102