Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

1

Apache Storm

There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS.

#Big Data #Data Management #Databases 11 social mentions

2

MariaDB

Relational databases Relational databases store data in a way that looks like a spreadsheet format, with rows + columns. These are often used to store structured data, such as customer orders/inventory. A few perfect examples of a relational databases are MySQL, PostgreSQL, MariaDB, Microsoft SQL Server, and Oracle Database. To build a relational database, we need to make a “data model” that shows how the different tables work together. This helps to understand the entire picture and makes it easier to analyze the data which would make the analysis a great deal and a whole lott!! Less complicated and difficult to do so.

#Databases #Relational Databases #NoSQL Databases 33 social mentions

3

Apache Kafka

For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis.

#Stream Processing #Data Integration #ETL 120 social mentions

4

Julia

In addition to Structured Query Language(SQL), we can also use a variety of different programming languages, such as Python, Java, JavaScript, R, Julia, Scala, or any other programming language as long as it supports a basic database connection and functions to perform all of those operations, to connect to databases and perform more advanced query operations on the data. This gives us greater flexibility and allows us to apply custom-created logic to the data.

#Technical Computing #Programming Language #OOP 115 social mentions

5

Hadoop

There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS.

#Databases #NoSQL Databases #Big Data 15 social mentions

6

Google Cloud Platform

Many businesses and companies are moving and transitioning their entire operations to the cloud to escape headaches associated with hardware breakdowns and regular software updates (as we mentioned earlier). Because of this, companies only have to pay for the resources that they really use, and they can scale their servers to meet any demand. Cloud service providers also provide several different kinds of services to manage large amounts of data and ease the process of storing and processing data, making the entire process much more manageable. According to a Gartner cloud computing infrastructure ranking, the top three cloud platform providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

#Cloud Computing #Backend As A Service #Cloud Infrastructure 170 social mentions

7

Microsoft Azure

Many businesses and companies are moving and transitioning their entire operations to the cloud to escape headaches associated with hardware breakdowns and regular software updates (as we mentioned earlier). Because of this, companies only have to pay for the resources that they really use, and they can scale their servers to meet any demand. Cloud service providers also provide several different kinds of services to manage large amounts of data and ease the process of storing and processing data, making the entire process much more manageable. According to a Gartner cloud computing infrastructure ranking, the top three cloud platform providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

#Cloud Infrastructure #Cloud Computing #IaaS 64 social mentions

8

Amazon Kinesis

For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis.

#Stream Processing #Data Management #Analytics 23 social mentions

9

Amazon AWS

Many businesses and companies are moving and transitioning their entire operations to the cloud to escape headaches associated with hardware breakdowns and regular software updates (as we mentioned earlier). Because of this, companies only have to pay for the resources that they really use, and they can scale their servers to meet any demand. Cloud service providers also provide several different kinds of services to manage large amounts of data and ease the process of storing and processing data, making the entire process much more manageable. According to a Gartner cloud computing infrastructure ranking, the top three cloud platform providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

#Cloud Computing #Cloud Infrastructure #IaaS 364 social mentions

10

Apache ActiveMQ

For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis.

#Data Integration #Stream Processing #Inventory Management 5 social mentions