Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e.

Cloud Storage 68

Cloud Storage Unstructured Data AWS Analytics Application 68

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations. Note that the materialized view definition contains the ‘stored by iceberg’ clause.

Metadata 90

Metadata Data Warehouse BI AWS 90

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. The design goal was low latency and scale. Most analytical queries need this ability to join multiple data sources at query time. Learn more at rockset.com.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Knowledge Hut

MARCH 15, 2024

5) AZ-204: Microsoft Azure Developer Associate Developers working on cloud projects in all stages—from requirements, definition, and design through development, deployment, and maintenance to performance tuning and monitoring—are an ideal group for this Professional Certificate.

Cloud Computing 52

Cloud Computing Algorithm Certification SQL 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Change data capture (CDC) streams from OLTP databases, which may provide sales, demographic or inventory data, are another valuable source of data for real-time analytics use cases. Flink, Kafka and MySQL.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

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. What does the high-performance data project have to do with the real Franz Kafka’s heritage?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Striim

NOVEMBER 8, 2023

The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time. Data consistency is ensured through uniform definitions and governance requirements across the organization, and a comprehensive communication layer allows other teams to discover the data they need.

Architecture 52

Architecture Generalist Government Datasets 52

ProjectPro

FEBRUARY 16, 2023

SQL plays a significant role in the entire data engineering project lifecycle, from data integration and extraction to data transformation and loading. Data engineers use SQL to modify any database and table structure and extract subsets of the data from the database for various business analytics use cases.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

phData: Data Engineering

JULY 18, 2023

Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure. Modern Data Stacks embrace governance as a core design principle. Modern data businesses need modern data governance.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

FEBRUARY 11, 2021

Having that designation means you can build end-to-end machine learning solutions , which is a highly marketable skill set considering the fact that it has been the fastest-growing job title in the world since 2019. But what does it actually take to achieve the designation of a machine learning engineer? Start working on them today!

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. A mapping application at Walmart uses Hadoop to maintain the most recent maps of 1000’s of Walmart stores across the globe.

Big Data 52

Big Data Data Analysis Hadoop Retail 52