Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JULY 20, 2023

In here, we will discuss the definition of image encryption, its applications, its importance in cybersecurity, security challenges associated with it, some popular tools to do photo encryption online, and more. It is designed to detect various steganographic techniques and can be useful for image forensics.

Medical 40

Medical Algorithm Metadata Cloud Storage 40

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka is designed to handle numerous clients from both sides.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

SEPTEMBER 29, 2023

Below are some of the most prominent types of storage in AWS: Object storage: First, the AWS storage type is the vast scalability and metadata features of object storage, which are often used by cloud-based applications. This dashboard may be used for keeping track of your EC2 instances and architecture.

AWS 52

AWS Amazon Web Services Cloud Computing Certification 52

Tweag

APRIL 19, 2023

Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. A solution is to read the bytes that we need when we need them directly from Blob Storage. _slides_specs.

Medical 60

Medical Process Cloud Bytes 60

AltexSoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. Designed to handle big data, the platform addresses problems associated with data lakes — such as lack of data integrity , poor data quality, and low performance compared to data warehouses. And here are several more reasons in favor of this choice.

Scala 64

Scala Data Lake BI Google Cloud 64

Confluent

MAY 29, 2019

In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. Rigid file naming standards that had built-in dependency metadata. So I wrote the plugin to ensure that SQL scripts are executed according to the hierarchy in the repository filesystem. Table created.

Kafka 93

Kafka Management Bytes SQL 93

Netflix Tech

DECEMBER 14, 2018

NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries. The following section enumerates the key traits of NMDB and how the design aims to address them. key value stores generally allow storing any data under a key).

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

AUGUST 11, 2021

Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required. If not, then don't worry.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Confluent

OCTOBER 23, 2019

Suppose, for example, you are writing a source connector to stream data from a cloud storage provider. When we pass the map of original values to the parent AbstractConfig class, the configuration properties will be parsed into their appropriate types according to the configuration definition.

Kafka 15

Kafka Cloud Storage Cloud Database 15