Rockset

JULY 8, 2021

As with last year, it's going to be a virtual conference, so register (for free), find a comfy spot and surf the numerous sessions available to anyone interested in the MongoDB ecosystem. We spend a lot of time thinking about running analytics on MongoDB, as do many MongoDB users we speak with.

MongoDB 40

MongoDB Manufacturing Analytics Architecture Architecture 40

Knowledge Hut

DECEMBER 21, 2023

Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. The average salary for a Big Data engineer career in the US in 2024 is around $132,922 per year. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

They highlight competence in data management, a pivotal requirement in today's business landscape, making certified individuals a sought-after asset for employers aiming to efficiently handle, safeguard, and optimize data operations. MongoDB Associate DBA Exam The associated exam is C100DBA. MongoDB aggregation.

Certification 52

Certification Database MongoDB MySQL 52

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Data Engineering Weekly

JULY 30, 2023

AWS writes a blog to extend these questions on demonstrating the role of vector data stores in Gen-AI applications. The author demonstrates the same, comparing DuckDB with other industry-leading data processing frameworks. In contrast, the like of Spark is designed to run in a massively parallel distributed data processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Rockset

FEBRUARY 6, 2019

Aggregator Leaf Tailer (ALT) is the data architecture favored by web-scale companies, like Facebook, LinkedIn, and Google, for its efficiency and scalability. In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Rockset

AUGUST 2, 2023

All of these assessments go back to the AI insights initiative that led Windward to re-examine its data stack. The steps Windward takes to create proprietary data and AI insights As Windward operated in a batch-based data stack, they stored raw data in S3.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Rockset

MAY 12, 2022

It provides instant views of the real-time data. The serving layer — often MongoDB , Elasticsearch or Cassandra — then delivers those results to both dashboards and users’ ad hoc queries. For more details, read my blog post on ALT and why it beats the Lambda architecture for real-time analytics.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Knowledge Hut

NOVEMBER 17, 2023

Machine Learning Awareness : While data engineers aren't primarily focused on machine learning, having a basic understanding of machine learning concepts can facilitate collaboration with data scientists. Azure Data Engineer Exam Details If you wish to pursue a career as an Azure data engineer, you should pass the DP-203 exam.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 5, 2024

Data engineers working on healthcare product development may build data systems to support AI-powered medical image analysis. On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

MAY 4, 2023

Let us look at some of the core responsibilities of a data engineer: Creating and maintaining databases for applications Managing the infrastructure that enables applications to run. Handling all activities that make data accessible to stakeholders.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 52

ProjectPro

NOVEMBER 14, 2015

This data can be analysed using big data analytics to maximise revenue and profits. We need to analyze this data and answer a few queries such as which movies were popular etc. To this group, we add a storage account and move the raw data. Then we create and run an Azure data factory (ADF) pipelines.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Databand.ai

DECEMBER 13, 2022

Charles also shares his experience and advice on LinkedIn, regularly discussing topics like dbt, Google Cloud, data analytics, data engineering, and data architecture. He also holds eight certifications in Google Cloud Platform as well as certifications in Python, AWS, and more.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on AWS Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well-known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offering covering almost every aspect of modern computing. You can learn to wrangle massive data sets, data visualization, etc.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

DECEMBER 7, 2021

What is a Big Data Pipeline? Data pipelines have evolved to manage big data, just like many other elements of data architecture. Big data pipelines are data pipelines designed to support one or more of the three characteristics of big data (volume, variety, and velocity).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 31, 2023

Query Surge provides the following benefits: Enhances testing speeds thousands of times while covering the entire data set. Query Surge helps us automate our manual efforts in Big Data testing. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes. Structured Query Language (SQL) is required to work on structured data in relational database management systems (RDBMS).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 10, 2022

Develop your data architecture: They design, develop, and manage data structures systematically, even while maintaining them in line with business needs. Automate Workflows: Data Engineers go into the data to identify processes that may be automated to remove manual involvement.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52