Sync Computing

NOVEMBER 7, 2024

A brief history of data storage The value of data has been apparent for as long as people have been writing things down. While data warehouses are still in use, they are limited in use-cases as they only support structured data. A few big tech companies have the in-house expertise to customize their own data lakes.

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Data Lake Data Warehouse Business Intelligence Unstructured Data 52

phData: Data Engineering

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.

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Data Lake Process Metadata Data Warehouse 52

Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis.

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Data Lake Food Google Cloud AWS 52

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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

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Data Lake Architecture IT Amazon Web Services 52

Data Engineering Weekly

FEBRUARY 2, 2025

[link] Affirm: Expressive Time Travel and Data Validation for Financial Workloads Affirm migrated from daily MySQL snapshots to Change Data Capture (CDC) replay using Apache Iceberg for its data lake, improving data integrity and governance.

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Data Engineer Data Engineering Engineering Data Lake 58

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

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Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? What is a Data lake?

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Data Lake Data Warehouse Cloud Hadoop 52

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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Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

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Data Lake Data Ingestion Bytes Cloud Computing 109

Monte Carlo

OCTOBER 31, 2024

There are dozens of data engineering tools available on the market, so familiarity with a wide variety of these can increase your attractiveness as an AI data engineering candidate. Data Storage Solutions As we all know, data can be stored in a variety of ways.

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Data Engineer Data Engineering Engineering Unstructured Data 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

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Data Lake Data Warehouse Hadoop Architecture 98

Striim

SEPTEMBER 11, 2024

Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets. This method is advantageous when dealing with structured data that requires pre-processing before storage.

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Data Pipeline Designing Data Lake Data Warehouse 98

Monte Carlo

NOVEMBER 21, 2024

This approach is fantastic when you’re not quite sure how you’ll need to use the data later, or when different teams might need to transform it in different ways. It’s more flexible than ETL and works great with the low cost of modern data storage.

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Data Pipeline Designing Lambda Architecture Kafka 52

Cloudera

MAY 30, 2024

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses.

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Data Lake Data Warehouse Programming Language Data Ingestion 74

Christophe Blefari

JANUARY 20, 2024

formats — This is a huge part of data engineering. Picking the right format for your data storage. You'll be seen as the most technical person of a data team and you'll need to help regarding "low-level" stuff you team. You'll be also asked to put in place a data infrastructure.

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Data Engineer Data Engineering Engineering Hadoop 130

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Proprietary file formats mean no one else is invited in!

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IT Data Lake Data Warehouse Cloud Storage 94

Cloudera

OCTOBER 6, 2022

For example, we have some customers using their data platform originally established for compliance initiatives to drive new use cases. These data lakes house much of the data needed to also support other use cases. We see this consistently in the data platform/data storage space. .

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Data Lake Machine Learning Data Storage Cloud Computing 90

Data Engineering Podcast

FEBRUARY 27, 2022

Visit them today at dataengineeringpodcast.com/timescale RudderStack helps you build a customer data platform on your warehouse or data lake. Data integration (extract and load) What are your data sources? Batch or streaming (acceptable latencies) Data storage (lake or warehouse) How is the data going to be used?

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Designing Metadata Data Lake Relational Database 100

dbt Developer Hub

OCTOBER 3, 2024

Apache Iceberg is a high-performance open table format developed for modern data lakes. When people talk about Iceberg, it often means multiple components including but not limited to: Iceberg Table Format - an open-source table format with large-scale data. Storage systems should just work.” “We

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Metadata Data Lake Data Storage Accessible 86

Hevo

JUNE 20, 2024

It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases. So, extracting and loading data from these data storage is one […]

Amazon Web Services 40

Amazon Web Services Data Lake Data Storage AWS 40

Hevo

JUNE 20, 2024

It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases. So, extracting and loading data from these data storage is one […]

Amazon Web Services 40

Amazon Web Services Data Lake Data Storage AWS 40

Data Engineering Podcast

AUGUST 14, 2021

Your host is Tobias Macey and today I’m interviewing Davit Buniatyan about Activeloop, a platform for hosting and delivering datasets optimized for machine learning Interview Introduction How did you get involved in the area of data management? What is the process for sourcing, processing, and storing data to be used by Hub/Activeloop?

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Unstructured Data Machine Learning Data Lake SQL 100

Cloudera

MARCH 5, 2024

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Zero Downtime Upgrades Beyond improvements to Iceberg and Ozone, the platform now boasts Zero Downtime Upgrades (ZDU).

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Data Lake Data Storage Government Kafka 87

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

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Data Management Management Data Lake Data Warehouse 52

Towards Data Science

JULY 9, 2024

While Parquet based data lake storage, offered by different cloud providers, gave us the immense flexibilities during the initial days of data lake implementations, the evolution of business and technology requirements in current days are posing challenges around those implementations.

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Data Lake Datasets Data Storage Database 73

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Hevo

SEPTEMBER 11, 2024

Nowadays, the term is used for petabytes or even exabytes of data (1024 Petabytes), close to trillions of records from billions of people. In this fast-moving landscape, the key to making a difference is picking up the correct data storage solution for your business. […]

Data Lake 40

Data Lake Data Warehouse Database Data Storage 40

Hevo

JULY 23, 2024

With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific analytical objectives. This […]

Data Lake 40

Data Lake Data Warehouse Data Storage Data 40

Sync Computing

JANUARY 27, 2025

Ideal for real-time analytics, high-performance caching, or machine learning, but data does not persist after instance termination. Amazon S3 : Highly scalable, durable object storage designed for storing backups, data lakes, logs, and static content.

AWS 52

AWS Data Lake Big Data Machine Learning 52

Towards Data Science

DECEMBER 15, 2023

Even the best of us sometimes demonize the parts of our organization whose primary goals are in the privacy and security area and conflict with our wishes to splash around in the data lake. In reality, data scientists are not always the heroes and IT and security teams are not the villains. How Much Data Do We Need?

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Cloudera

AUGUST 9, 2022

Standby systems can be designed to meet storage requirements during typical periods with burstable compute for failover scenarios using new features such as Data Lake Scaling. Automating the healing, recovery, scaling, and rebalancing of core data services such as our Operational Database.

Data Lake 78

Data Lake Data Warehouse Architecture Professional Services 78

Monte Carlo

FEBRUARY 25, 2025

They make data workflows more resilient and easier to manage when things inevitably go sideways. This guide tackles the big decisions every data engineer faces: Should you clean your data before or after loading it? Data lake or warehouse? Data Lakes vs. Data Warehouses: Where Should Your Data Live?

Designing 52

Designing Data Engineer Data Engineering Engineering 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

ProjectPro

FEBRUARY 8, 2023

It offers a simple and efficient solution for data processing in organizations. It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses, etc., where it can be used to facilitate business decisions.

AWS 98

AWS Scala Metadata Data Lake 98

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Management Data Lake Data Governance 52