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.

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Data Lake Unstructured Data Big Data Dashboards 271

Analytics Vidhya

DECEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Before seeing the practical implementation of the use case, let’s briefly introduce Azure Data Lake Storage Gen2 and the Paramiko module. The post An Overview of Using Azure Data Lake Storage Gen2 appeared first on Analytics Vidhya.

Data Lake 271

Data Lake Big Data Data Science Publishing 271

Analytics Vidhya

MARCH 12, 2025

In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables? appeared first on Analytics Vidhya.

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Data Lake Analytics IT 211

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?

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Data Lake Data Science Publishing Software 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.

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Data Lake Data Warehouse Analytics Data Science 398

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 Lake Data Science Publishing Analytics 350

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 Lake Data Science Publishing Enterprise 358

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. Key Differences.

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Data Lake Data Warehouse Unstructured Data Structured Data 140

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Determine your preparedness.

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Data Lake Cost-Benefit Data Warehouse Big Data 116

KDnuggets

JANUARY 16, 2023

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

Data Lake 108

Data Lake IT 108

AWS Big Data

SEPTEMBER 26, 2024

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. In our example, we use PDF files from the AWS Prescriptive Guidance portal.

Data Lake 113

Data Lake Cost-Benefit Unstructured Data Modeling 113

TDAN

SEPTEMBER 14, 2021

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

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Data Lake Data Warehouse IT Data Strategy 91

TDAN

JANUARY 3, 2023

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].

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Data Lake Data Architecture Data Warehouse Data Strategy 59

Data Virtualization

APRIL 21, 2022

Reading Time: 3 minutes First we had data warehouses, then came data lakes, and now the new kid on the block is the data lakehouse. But what is a data lakehouse and why should we develop one? In a way, the name describes what.

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Data Lake Data Warehouse Data Integration Management 59

Analytics Vidhya

OCTOBER 6, 2023

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology.

Interactive 343

Interactive Technology Analytics Data Lake 343

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

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Data Lake Strategy Data Integration Enterprise 52

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Data Lake 52

Data Lake Strategy Data Integration Enterprise 52

Data Virtualization

NOVEMBER 3, 2022

In attempts to overcome their big data challenges, organizations are exploring data lakes as repositories where huge volumes and varieties of. The post Is Data Virtualization the Secret Behind Operationalizing Data Lakes?

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Data Lake Big Data Data Integration Management 52

Analytics Vidhya

MARCH 21, 2023

to store and analyze this data to get valuable business insights from it. You will study top 11 azure interview questions in this article which will discuss different data services like Azure Cosmos […] The post Top 11 Azure Data Services Interview Questions in 2023 appeared first on Analytics Vidhya.

Analytics 306

Analytics Data Lake IT 306

TDAN

JUNE 5, 2024

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. Understanding the distinctions […]

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Data Lake Management Data Architecture Big Data 52

Analytics Vidhya

SEPTEMBER 20, 2022

Introduction Enterprises have been building data platforms for the last few decades, and data architectures have been evolving. Let’s first look at how things have changed and how […].

Data Architecture 289

Data Architecture Enterprise Technology Analytics 289

Data Virtualization

OCTOBER 5, 2022

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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Data Lake Data Architecture Data Integration Management 52

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. Without business context, business users are less likely to use the data lake and insights will be hard to come by.

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Data Lake ROI Metadata Cost-Benefit 52

Peter James Thomas

APRIL 9, 2019

This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. This is my selection of the articles that I enjoyed writing most, which does not always overlap with the most popular ones. May onwards.

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Data-driven Statistics Data Science Big Data 49

Smart Data Collective

FEBRUARY 23, 2022

Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. That is when data lake products started gaining popularity, and since then, more companies introduced lake solutions as part of their data infrastructure. AWS Athena and S3. How to improve indexing.

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Data Lake Cost-Benefit Optimization Big Data 124

O'Reilly on Data

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

IT 364

IT Testing Experimentation Software 364

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. It is everywhere, holding the data universe together, yet it manages to elude our attention and affection.

Reporting 134

Reporting Analytics IT Data Lake 134

CIO Business Intelligence

OCTOBER 25, 2022

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. So, they built a data-lake. The data lake, too, took on new purpose.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

CIO Business Intelligence

MAY 24, 2018

Many organizations in a variety of industries struggle to access the customer data they need to provide personalized and contextual experiences across all touchpoints. To read this article in full, please click here

Data Lake 45

Data Lake Analytics Big Data Interactive 45

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. In this article we will list 10 things AWS can do for your SaaS company. This article finally gets to the core question we started with: what can AWS do for your SaaS business? Data storage databases.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Data Lake Risk 145

CIO Business Intelligence

AUGUST 23, 2023

It’s interesting how the number of projected IoT devices being connected in 2023 can differ by 26 billion from article to article. Today’s management and infrastructure are designed to populate a data lake with valuable information that helps accurately determine the type of endpoint clients that are on your network.

IoT 98

IoT Data Lake Enterprise Management 98

Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. CDP Data Lake cluster versions – CM 7.4.0, Pre-Check: Data Lake Cluster. Understanding Ranger Policies in Data Lake Cluster. Runtime 7.2.8.

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Data Lake Metadata Unstructured Data Management 73

Peter James Thomas

APRIL 9, 2020

This article forms part of her further adventures [1]. Get us data now… Our CDO has helped us to work out a plan. We built a warehouse first, now for a data lake. Got our data now. Another article from peterjamesthomas.com. In my last post , we met Jane Doe, CEO. Not a bright spot anywhere. Notes. .

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Data Lake Dashboards Analytics IT 98

TDAN

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

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Data Lake Enterprise Data Architecture Data Governance 69

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.

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Visualization Key Performance Indicator Sales Advertising 145

Smart Data Collective

AUGUST 9, 2019

However, more mainstream games use big data as well. Fortnite is one of the games that uses big data to offer great service to its customers. Even Forbes Tech Council has written about the benefits of data lakes in Fortnite. Processing and analyzing this data — petabytes worth — must happen somewhere.

Big Data 97

Big Data Data Lake Data Architecture Machine Learning 97