Start Data Engineering

APRIL 12, 2022

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week.

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Seattle Data Guy

DECEMBER 19, 2022

Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data.

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Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

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Medium Data Engineering

APRIL 15, 2023

Data Lake is a place where all the data from micro-services is collected and then later used for multiple purposes. Our micro-services… Continue reading on Medium »

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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.

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Medium Data Engineering

MAY 16, 2023

As of now, we have created the resource group in Azure and now is the time to create the Azure Data Lake Storage Gen2 inside the resource… Continue reading on Medium »

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ProjectPro

DECEMBER 14, 2022

Many organizations are struggling to store, manage, and analyze data due to its exponential growth. Cloud-based data lakes allow organizations to gather any form of data, whether structured or unstructured, and make this data accessible for usage across various applications, to address these issues.

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Medium Data Engineering

FEBRUARY 11, 2023

Before we start the journey of data lake creation, it is important to understand how we undertake a normal journey in real life. Before… Continue reading on Medium »

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Cloudyard

DECEMBER 13, 2022

Read Time: 4 Minute, 23 Second During this post we will discuss how AWS S3 service and Snowflake integration can be used as Data Lake in current organizations. How customer has migrated On Premises EDW to Snowflake to leverage snowflake Data Lake capabilities.

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Medium Data Engineering

FEBRUARY 20, 2023

Being data-enthusiastic, you might have come across terminologies like ‘Database’, ‘Data Lake’, and ‘Data ’ What… Continue reading on Medium »

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Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

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Medium Data Engineering

APRIL 5, 2023

The definition, architecture, and benefits of data lakes. Continue reading on ILLUMINATION’S MIRROR »

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Medium Data Engineering

MAY 1, 2023

Tenho certeza que se você que trabalha numa empresa onde o core é tecnologia e inovação, já deve ter ouvido falar sobre Data Lake, senão… Continue reading on Medium »

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Snowflake

JANUARY 24, 2023

CMS Chief Information Security Officer Rob Wood and Chief information Architect Amine Raounak led an in-depth presentation on their security data lake initiative with Snowflake. The security data lake project enables data-driven decision-making for system and product security at scale within CMS.

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Medium Data Engineering

APRIL 5, 2023

The definition, architecture, and benefits of data lakes. Continue reading on Medium »

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phData: Data Engineering

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.

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ProjectPro

JANUARY 8, 2023

Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. Delta Lake is a game-changer for big data.

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Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform.

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Medium Data Engineering

FEBRUARY 28, 2023

Choose The Right Data Solution For Your Business By Understanding The Pros & Cons Of Data Warehouse and Data Lakes Continue reading on Python in Plain English »

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Medium Data Engineering

MARCH 30, 2023

A deep dive into provisioning and managing Azure Data Lake Storage accounts, file systems, and access control with Terraform. Continue reading on Medium »

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Analytics Training

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. What is Data Lake? . Athena on AWS. .

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Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. When is a data lake architecture the wrong choice?

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Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.

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ProjectPro

DECEMBER 14, 2022

Microsoft offers Azure Data Lake, a cloud-based data storage and analytics solution. It is capable of effectively handling enormous amounts of structured and unstructured data. Therefore, it is a popular choice for organizations that need to process and analyze big data files.

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Grouparoo

JANUARY 11, 2022

This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle. There are two main options available, a data lake and a data warehouse. What is a Data Warehouse? What is a Data Lake?

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Data Engineering Podcast

JUNE 1, 2020

Summary Data lakes offer a great deal of flexibility and the potential for reduced cost for your analytics, but they also introduce a great deal of complexity. In order to bring the DBA into the new era of data management the team at Upsolver added a SQL interface to their data lake platform.

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Elder Research

MARCH 28, 2023

The post Is My Data Lake Actually a Data Swamp? appeared first on Elder Research.

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Medium Data Engineering

FEBRUARY 7, 2023

Delta Lake is an open-source data lake format built on top of Apache Spark that offers robust data management capabilities. It enables… Continue reading on Medium »

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Medium Data Engineering

APRIL 6, 2023

In this article, we’ll compare and contrast Snowflake and data lakes, so you can make an informed decision on which solution is best for… Continue reading on Medium »

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Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

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Acceldata

DECEMBER 19, 2022

Avoid these three data pitfalls when attempting to modernize your data architecture with a data lake or data warehouse.

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Medium Data Engineering

MAY 8, 2023

Traditional data warehousing… Continue reading on Medium » Organizations are constantly faced with the challenge of managing and harnessing vast amounts of information.

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Medium Data Engineering

FEBRUARY 20, 2023

Defining a data lake and its purpose Continue reading on Medium »

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Data Engineering Podcast

JUNE 16, 2019

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and evolving best practices. The flexibility and freedom that data lakes provide allows for generating significant value, but it can also lead to anti-patterns and inconsistent quality in your analytics.

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Data Engineering Podcast

NOVEMBER 2, 2020

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines.

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Medium Data Engineering

MARCH 6, 2023

Building Data Lake on AWS: A Step-by-Step Guide (Part 1) Lake Formation, Glue Crawler, and Athena Continue reading on FAUN Publication »

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KDnuggets

JANUARY 16, 2020

Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility.

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