Data Engineering Podcast

JULY 17, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. By the time errors have made their way into production, it’s often too late and damage is done.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

FEBRUARY 11, 2018

Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? How is Timescale implemented and how has the internal architecture evolved since you first started working on it? What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Monte Carlo

NOVEMBER 20, 2023

Popular categories of migration tools include: Database Management Systems (DBMS) : Tools like MySQL Workbench or Microsoft SQL Server Management Studio offer built-in migration assistants. ActiveRecord (Ruby on Rails) : Allows developers to write migrations as Ruby code, abstracting away the SQL complexities.

MongoDB 52

MongoDB ETL Tools Database Data 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. Let’s review some of the big picture concepts as well finer details about being a data engineer.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Rockset

JANUARY 9, 2023

Technical Challenges Our original data infrastructure was built around an on-premises MongoDB database that ingested and stored all user transaction data. If we didn’t have the right indexes already built, or the SQL query wasn’t optimized, the MySQL query would inevitably drag or time out. Rockset has the best of both worlds.

MySQL 52

MySQL MongoDB Recruitment Data Ingestion 52

Knowledge Hut

NOVEMBER 7, 2023

Google Cloud Google Cloud is a dependable, user-friendly, and secure cloud computing solution from one of today's most powerful technology companies. Despite having a smaller service portfolio than Azure, Google Cloud can nonetheless fulfill all of your IaaS and PaaS needs.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

DECEMBER 26, 2023

Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. Go A general-purpose programming language by Google. Microsoft SQL Server Relational database managed by Microsoft. MongoDB Most popular NoSQL database.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Knowledge Hut

DECEMBER 26, 2023

98,057 LEMP stack (JavaScript - Linux - Nginx - MySQL - PHP) Not available MEAN stack developer - (JavaScript - MongoDB - Express -AngularJS - Node.js) An incoming user request is processed by the AngularJS framework. to decide which non-relational NoSQL database requests to perform to MongoDB. The request is then processed by Node.js

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

AltexSoft

JULY 29, 2022

To facilitate data ingestion, there are Apache Flume aggregating log data from multiple servers and Apache Sqoop designed to transport information between Hadoop and relational (SQL) databases. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Hadoop tutorials and courses.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

MARCH 27, 2024

Cassandra Data sets can be retrieved in large quantities using APACHE Cassandra, a distributed database with no SQL engine. Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. Some open-source technology for big data analytics are : Hadoop.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

NOVEMBER 28, 2023

To get a full stack internship , you need to acquire the skills in the front end and back end development listed below: These front end developer skills are categorized into the following: Basic Web Development Tools: HTML, CSS, TypeScript, JavaScript Integrated Development Environments (IDE):  Visual Studio Code IDE, Sublime Text 3 Front End Frameworks:  (..)

Recruitment 52

Recruitment Computer Science Java PostgreSQL 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Rockset

JANUARY 28, 2022

For real-time analytics, the cloud-native Rockset improves upon DynamoDB by being able to simultaneously ingest massive data streams, indexing that data so it is available for queries within two seconds, and then enabling a high number of concurrent SQL queries. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. It nicely supports Hybrid Cloud Space. Subscription plans are not so flexible.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 5, 2023

Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous. Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g., CentOS, Ubuntu, Red Hat), Unix-based systems (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

DECEMBER 23, 2023

Databases : They should be efficient at handling data from databases like MySQL, MongoDB, Redis, Oracle and SQLServer. DBMSs with a large user base include MySQL, SQL SERVER and PostgreSQL, MongoDB, and Oracle Database. Microsoft Azure, Google Cloud Platform, and Amazon Web Services are a few of the more well-known ones.

Programming Language 52

Programming Language Java MongoDB MySQL 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on Google cloud platform Google Cloud is one of the best data science learning platforms. From data engineering to ML engineering, TensorFlow to PyTorch, GPUs to TPUs, data science on Google Cloud helps your business run faster, smarter, and at planet scale. can take up lots of memory 3.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. It consists of four main components: Angular, a JavaScript front-end framework; Express.js, a web application framework for Node.js; MongoDB, a NoSQL database; and Node.js, a server-side runtime.

NoSQL 52

NoSQL Java MongoDB Programming 52

Rockset

APRIL 15, 2022

Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks). They were unaffordable for most companies. Then a new generation of event-streaming platforms emerged. Many (Kafka, Spark and Flink) were open source.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

ProjectPro

AUGUST 24, 2021

This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data. Create a service account on GCP and download Google Cloud SDK(Software developer kit). Collection happens in the Kafka topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. They get used in NoSQL databases like Redis, MongoDB, data warehousing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

DECEMBER 27, 2023

Database management: Understanding database management systems such as MySQL, MongoDB, and SQL Server. Certifications to Increase Web Developer Salaries in Singapore There are several certifications that can help increase a web developer's salary in Singapore.

Programming Language 52

Programming Language Healthcare Finance Consulting 52

Rockset

JUNE 7, 2021

Some databases like SQL Server have this functionality built in; others require database triggers to increment the number any time a modification is made to the record. These CDC implementations are offered in the form of configurable connectors for systems such as MongoDB , DynamoDB , MySQL , Postgres and others.

IT 40

IT Kafka Database MongoDB 40

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Scala 52

Cloudera

DECEMBER 12, 2018

Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. So, that’s kind of how I got introduced to databases and SQL systems. So, I think the prominent engines at the time for data processing on top of data residing in HDFS was Hive, and Hive was basically a SQL to MapReduce program.

Data Warehouse 42

Data Warehouse Relational Database Hadoop BI 42

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. Native support for KSQL in Confluent Cloud.

Kafka 21

Kafka Management Cloud AWS 21