Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. All these features make it easier to safeguard your data and also keep to the legal requirements.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Look for a suitable big data technologies company online to launch your career in the field.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Pinterest Engineering

JANUARY 13, 2025

Angel Vargas | Software Engineer, API Platform; Swati Kumar | Software Engineer, API Platform; Chris Bunting | Engineering Manager, APIPlatform The inside of the Pinterest lobby in Mexico City, showing a patterned ceiling, a receptionist deck with a plant on it, a light above it, and a gallery of images of pins youd find on Pinterest, behind it.

Management 69

Management Bytes Python Software Engineer 69

The Pragmatic Engineer

JUNE 13, 2023

In every issue, I cover challenges at Big Tech and startups through the lens of engineering managers and senior engineers. If you have such a budget, here’s an email you could send to your manager. queries per second as total load, spread across its managed database-as-a-service (DBAAS.) At peak load, Agoda sees around 7.5M

Cloud 214

Cloud Database Utilities BI 214

Christophe Blefari

FEBRUARY 24, 2023

In order to improve your data infra you should sometimes try to occasionally kill your data stack , chaos engineering is something that helps discover issues. This goes further than being a data-driven enterprise , you have to put in place a framework the puts data measurement at every product choice, resulting in maturity increase.

Kafka 130

Kafka Data Storage Data Lake Data 130

Data Engineering Weekly

OCTOBER 11, 2024

While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. Agent systems powered by LLMs are already transforming how we code and interact with data. Data engineering followed a similar path.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Here are six key components that are fundamental to building and maintaining an effective data pipeline.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 133

Machine Learning Data Science Database Building 133

Monte Carlo

NOVEMBER 12, 2024

As soon as you click, data about your choice flows into a global Kafka queue, which Flink then uses to help power Netflix’s recommendation engine. For data storage, Netflix relies heavily on Amazon S3 for scalable storage and uses Apache Iceberg to organize and manage the data.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Snowflake

SEPTEMBER 25, 2023

A complete view of the enterprise Now, Molex can ingest large volumes of data from customer interactions, SAP production lines, and financial transactions with Snowflake’s cloud-based platform. Easy data sharing and collaboration A key feature of Snowflake is the ability to share and collaborate on data.

Manufacturing 103

Manufacturing Cloud Electronics BI 103

Data Engineering Podcast

SEPTEMBER 12, 2021

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. Cassandra is primarily used as a system of record. What is in store for the future of Cassandra?

Database 100

Database Kafka Metadata Data Storage 100

Cloudera

FEBRUARY 8, 2021

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1%

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Data Engineering Podcast

FEBRUARY 27, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Designing 100

Designing Metadata Data Lake Relational Database 100

Cloudera

NOVEMBER 1, 2023

The use of Pinecone’s technology with Cloudera creates an ecosystem that facilitates the creation and deployment of robust, scalable, real-time AI applications fueled by an organization’s unique high-value data.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

Precisely

OCTOBER 24, 2024

As your systems age, operational costs grow – including the cost of staffing highly specialized individuals to manage legacy technologies. For example, many organizations are now sunsetting older, more expensive systems in favor of cloud technologies that are more widely understood and easier to staff for.

Cloud 111

Cloud Data Integration Insurance Data 111

Knowledge Hut

MARCH 7, 2024

Companies with expensive facilities and large data centers can greatly be benefitted from the services of Microsoft Azure. The services of Microsoft Azure help in designing, deploying, and managing applications over a worldwide network. With Red Hat Cloud, you can easily modernize, manage, and update your business applications.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

Snowflake

JANUARY 6, 2025

The incredible promise of the fully autonomous vehicle (AV) and more advanced driver assistance systems (ADAS) has been driving the automotive industry for the better part of the last decade. From on-prem to cloud : Moving from physical data centers to a cloud-based infrastructure unlocks huge potential for automotive companies.

Manufacturing 80

Manufacturing Cloud Computing Data Storage Algorithm 80

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. The principles emphasize machine-actionability (i.e.,

Metadata 98

Metadata Healthcare Medical Data Storage 98

Christophe Blefari

NOVEMBER 11, 2022

Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. Modeling is often lead by the dimensional modeling but you can also do 3NF or data vault.

BI 130

BI Data Warehouse Data Database 130

Knowledge Hut

JULY 2, 2024

The IoT will create a huge amount of data that needs to be stored and processed, and the cloud is the perfect platform for this. Enhanced data storage capacities It is safe to say that the future of cloud technologies is looking very bright. With Kubernetes, you can scale your application up or down as needed.

Cloud Computing 98

Cloud Computing Cloud Healthcare Education 98

Knowledge Hut

APRIL 25, 2024

This programming language is used for general purposes and is a robust system. Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. Put the system logic in order. It is PHP.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Data Engineering Podcast

AUGUST 14, 2021

Summary The vast majority of data tools and platforms that you hear about are designed for working with structured, text-based data. What do you do when you need to manage unstructured information, or build a computer vision model? The data you’re looking for is already in your data warehouse and BI tools.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Knowledge Hut

JANUARY 29, 2024

These servers are primarily responsible for data storage, management, and processing. At the same time, Data Science/Analytics provides discovery and deep insights to improve the performance of an organization. Cloud Computing Infrastructures can mix well with currently existing systems.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

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. A growing trend in database engines (e.g.

SQL 100

SQL PostgreSQL MongoDB Database 100

Data Engineering Podcast

DECEMBER 16, 2019

The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools. At WeWork they needed a system that would provide visibility into their Airflow pipelines and the outputs produced. Can you start by describing what Marquez is?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Knowledge Hut

OCTOBER 27, 2023

Android Local Train Ticketing System Developing an Android Local Train Ticketing System with Java, Android Studio, and SQLite. Developing a local train ticketing system for Android can be a challenging yet rewarding project idea for Software developer. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image,

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Towards Data Science

DECEMBER 15, 2023

The Security Angle If we take the security-forward perspective, on the other hand, we have to admit that the larger the quantities of data we have — particularly if there are multiple systems of storage or processes influencing the data — the larger the risk of data breach. Do you keep all data forever?

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Christophe Blefari

JUNE 16, 2023

Yann's vision goes toward AI systems learning and reasoning like animals and humans. The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Cloudera

AUGUST 11, 2021

Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case. A few years ago, there were several choices of data deduplication apps for storage, and now, it’s a standard function in every system.

Cloud 121

Cloud Big Data Cloud Computing Government 121

AltexSoft

JUNE 7, 2021

You don’t need to archive or clean data before loading. The system automatically replicates information to prevent data loss in the case of a node failure. Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. A file stored in the system ?an’t

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

OCTOBER 6, 2022

Replace legacy: It’s hard to avoid having “legacy” systems/applications or versions since technology advancements are moving so fast these days. For example, outsourcing everything typically does not reduce costs in my experience as the time managing the outsourced environment can be quite costly. . Avoid rework wherever possible.

Data Lake 90

Data Lake Machine Learning Data Storage Cloud Computing 90

Knowledge Hut

DECEMBER 22, 2023

To understand furthermore, you can learn about the Data Science course in India. Who is a Data Scientist? Data scientists are analysts who use technology and social science knowledge to identify patterns and manage data. Cloud Computing Every day, data scientists examine and evaluate vast amounts of data.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Data Engineering Weekly

DECEMBER 2, 2023

Ref: [link] In the current state of the data infrastructure, we use a combination of multiple specialized data storage and processing engines to achieve this balance. Many companies restrict themselves to batch processing with high latency to access the data to keep the design simple enough to manage. What is Next?

IT 85

IT BI AWS Kafka 85

dbt Developer Hub

OCTOBER 3, 2024

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. Iceberg Data Catalog - an open-source metadata management system that tracks the schema, partition, and versions of Iceberg tables.

Metadata 86

Metadata Data Lake Data Storage Accessible 86

Pinterest Engineering

SEPTEMBER 26, 2023

While it is blessed with an abundance of data for training, it is also crucial to maintain a high data storage efficiency. Therefore, we adopted a hybrid data logging approach, with which the data is logged through both the backend service and the frontend clients. The process is captured in Figure 1.

Software Engineer 105

Software Engineer Software Engineering Machine Learning Datasets 105