Monte Carlo

APRIL 24, 2023

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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. In NMDB we think of the media metadata universe in units of “DataStores”. A specific media analysis that has been performed on various media assets (e.g.,

Media 97

Media Database Metadata Data Schemas 97

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Monte Carlo

AUGUST 25, 2023

A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor. For metadata organization, they often use Hive, Amazon Glue, or Databricks. One advantage of data warehouses is their integrated nature.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

AUGUST 11, 2021

Is Hadoop a data lake or data warehouse? 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. Recommended Reading: Is Hadoop Going To Replace Data Warehouse? Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Cloudera

APRIL 23, 2021

To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata. Each file will have an EDEK which is stored in the file’s metadata. hdfs dfs -cat” on the file triggers a hadoop KMS API call to validate the “DECRYPT” access.

MySQL 73

MySQL Java Bytes Data 73

ProjectPro

AUGUST 24, 2021

Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow. Understand the importance of Qubole in powering up Hadoop and Notebooks.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 30, 2021

Cloud: Technology advancements, information security threats, faster internet speeds, and a push to prevent data loss have contributed to the move toward cloud-native storage and processing. The AWS Glue Data Catalog automatically loads your data and the associated metadata.

Process 52

Process Data Warehouse Data Pipeline AWS 52

ProjectPro

JULY 30, 2021

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

MAY 12, 2023

File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Multi-Cloud Management. Introduction.

Hadoop 86

Hadoop Cloud AWS Utilities 86

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake Machine Learning BI 64