Engineering at Meta

MARCH 12, 2024

Storage Storage plays an important role in AI training, and yet is one of the least talked-about aspects. As the GenAI training jobs become more multimodal over time, consuming large amounts of image, video, and text data, the need for data storage grows rapidly.

Building 145

Building Portfolio Utilities Data Storage 145

Data Engineering Podcast

JANUARY 28, 2019

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. What are some of the most common challenges around managing access and authentication for data storage systems?

Accessible 100

Accessible Accessibility Database Management 100

Data Engineering Podcast

DECEMBER 31, 2018

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media.

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Data Engineering Podcast

APRIL 22, 2019

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Database 100

Database Cloud NoSQL Scala 100

Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance.

SQL 100

SQL PostgreSQL MongoDB Database 100

Knowledge Hut

OCTOBER 27, 2023

cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY) THRESH_BINARY) contours, _ = cv2.findContours(thresh, findContours(thresh, cv2.RETR_TREE, RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) boundingRect(max_cnt) else: return None image = cv2.imread("fingerprint.jpg")

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

Data Engineering Podcast

DECEMBER 16, 2019

We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference, the Strata Data conference, and PyCon US. Many metadata management systems are simply a service layer on top of a separate data storage engine.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

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. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Source Code: Smart Cities Using Big Data 3.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Hevo

MAY 17, 2024

Salesforce Marketing Cloud is a marketing service used for digital marketing through various media, such as emails or social media platforms. You can use it effectively for customer data management, but it does not facilitate efficient data storage. Snowflake It allows you […]

Cloud 40

Cloud Media Data Warehouse Data Storage 40

Monte Carlo

NOVEMBER 21, 2024

Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Monte Carlo

MAY 28, 2024

In batch processing, this occurs at scheduled intervals, whereas real-time processing involves continuous loading, maintaining up-to-date data availability. Data Validation : Perform quality checks to ensure the data meets quality and accuracy standards, guaranteeing its reliability for subsequent analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

APRIL 25, 2024

Even analyzing consumer data or live streaming social media plays a vital role in Information Technology. Information Technology is thereby used on a personal level to connect and communicate with other people via playing games, sharing media content, shopping, and of course, being social.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

APRIL 23, 2024

Gigantic data centers might be needed in some cases. Privacy is another grave issue, especially on social media where extremely sensitive personal data is shared and stored. Not many are qualified to differentiate between complex and fast-growing datasets that affect results and regular data that needs no special handling.

Big Data 52

Big Data Media Government Big Data Skills 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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.

Data Lake 74

Data Lake Data Warehouse Hadoop Architecture 74

Cloudera

JUNE 27, 2023

An MDA allows you to identify silos and disparate processes, providing visibility across data functions and assets allowing rapid consolidation and harmonization. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 65

Data Architecture Architecture Government Data Governance 65

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Data Storage Raw Data Data Warehouse 52

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

MARCH 26, 2024

Whether readers are looking to develop engaging social media content, craft persuasive marketing copy, or explore innovative solutions to industry challenges, they will find prompts designed to spark creativity and drive meaningful conversation. Repurpose this existing blog post on [topic] into a creative social media caption for [platform].

Media 52

Media Finance Medical Healthcare 52

Towards Data Science

DECEMBER 1, 2023

Storage —  Snowflake Snowflake, a cloud-based data warehouse tailored for analytical needs, will serve as our data storage solution. The data volume we will deal with is small, so we will not try to overkill with data partitioning, time travel, Snowpark, and other Snowflake advanced capabilities.

Data Engineer 68

Data Engineer Data Engineering Project Engineering 68

Knowledge Hut

APRIL 23, 2024

Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis. It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. The data is processed and analyzed in a subject-oriented manner.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

JUNE 20, 2023

Both businesses and people use electronic data storage. Software engineers must be able to do research, enter new data lines in a table format, and update a system with further information. In addition, they know how to protect a database and create data backups to keep a company's information safe from unforeseen events.

Programming Language 52

Programming Language Java Amazon Web Services Software Engineer 52

Data Engineering Weekly

NOVEMBER 13, 2022

link] Meta: Tulip - Schematizing Meta’s data platform Numerous heterogeneous services make up a data platform, such as warehouse data storage and various real-time systems. The schematization of data plays a vital role in a data platform. The author shares the experience of one such transition.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing. It involves handling streams of data that are generated rapidly, such as sensor data or social media feeds.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Author Name: Martin Kleppmann Year of Release: 2015 Goodreads Rating: 4.71/5

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 24, 2024

cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY) THRESH_BINARY) contours, _ = cv2.findContours(thresh, findContours(thresh, cv2.RETR_TREE, RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) CHAIN_APPROX_SIMPLE) max_area = 0 max_cnt = None for cnt in contours: area = cv2.contourArea(cnt)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 14, 2024

For storing data, Microsoft Azure is a fantastic option. Users can view and access their files from anywhere with its cloud storage capabilities. Applications like email and social media websites can be hosted on Microsoft Azure. Documents, images, and videos are among the several types of data stored with this service.

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake? Contact phData Today!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Knowledge Hut

OCTOBER 3, 2023

You can contact them via social media groups or online forums. Engaging with social media groups, forums, and communities helps you learn from others. Azure Data Engineer Associate Certification (DP-203) DP-300 certification focuses on data solutions on Azure. Connect with others who are preparing for the same exam.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

DECEMBER 27, 2023

Full Stack Developer: A web developer or an engineer who can handle both - the front and back end is a full stack developer Back End Developer: Back-end developers are the experts who create and maintain the actions that are performed on websites, like security data storage, security, and other server-side functions.

Insurance 52

Insurance Finance Certification Media 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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52