Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. In this way, the analytic applications are able to turn the latest data into instant business insights. Avro Schema without Kafka Metadata Example. {.

Data Warehouse 70

Data Warehouse Cloud Kafka Cloud Storage 70

Cloudera

SEPTEMBER 10, 2018

Regardless of what I build—whether a shelf, chair, or bookcase—I always use the same things: Wood, tools, and a plan that shows dimensions and steps to put all the bits together. Woodworking is one of my passions and I often use wooden pallets as my source material.

Data Warehouse 40

Data Warehouse Metadata Retail Cloud 40

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This often involves such operations as data harmonization, mastering, and enrichment with metadata. Enrichment with metadata is another important thing. Stambia data hub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations.

Cloud 40

Cloud Big Data Metadata Machine Learning 40

ProjectPro

JANUARY 31, 2023

NameNode is often given a large space to contain metadata for large-scale files. The metadata should come from a single file for optimal space use and economic benefit. The following are the steps to follow in a NameNode recovery process: Launch a new NameNode using the FsImage (the file system metadata replica).

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs.

Big Data 52

Big Data Data Process Process Hadoop 52

U-Next

AUGUST 23, 2022

Tableau may be used for: controlling metadata. Interactive Dashboards: It enables users to build dynamic dashboards. Tableau provides sophisticated features for more technically savvy users, but it significantly lowers the bar for non-technical researchers and data users when it comes to building displays and doing analytical analysis.

BI 52

BI Amazon Web Services Business Intelligence Database 52

AltexSoft

OCTOBER 21, 2022

Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. However, there is a range of open-source client libraries enabling you to build Kafka data pipelines with practically any popular programming language or framework.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

JULY 26, 2023

Database Software- Relational Databases (SQL): Relational databases, frequently referred to as SQL databases, are a form of database application in DBMS that uses a relational model to organize and handle data. The tables are linked together by relationships, which build logical links between different types of data.

Database 52

Database NoSQL Telecommunication MongoDB 52

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. Legacy tools force users to manually build out processes that can be automated by the Modern Data Stack. Why Migrate to a Modern Data Stack?

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52