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The Latest Databases Topics
Understanding the CAP Theorem
In this article, we take an exploratory look at one of the more important ideas in the field of data engineering, and where it stands today.
Updated April 30, 2019
by
Akhil Mehra
·
173,952 Views
·
27 Likes
Why Your Spark Apps Are Slow Or Failing, Part II: Data Skew and Garbage Collection
We look at the concepts of data skew and garbage collection and how they can impact the performance and speed of your Spark application.
April 30, 2019
by
Rishitesh Mishra
·
72,914 Views
·
9 Likes
Load Balanced ProxySQL in Google Cloud
Learn more about load balancing and ProxySQL.
April 30, 2019
by
Jervin Real
·
5,876 Views
·
1 Like
Use RETURNING Clause to Avoid Unnecessary SQL Statements
Learn more about using the RETURNING clause to avoid unnecessary SQL statements in your database.
April 30, 2019
by
Steven Feuerstein
·
66,505 Views
·
5 Likes
Micronaut Tutorial: Server Application
In this part of my tutorial series on the Micronaut framework we are going to create a simple HTTP server-side application running on Netty.
Updated April 29, 2019
by
Piotr Mińkowski
·
21,387 Views
·
2 Likes
Insert Statement Without Column List (BP004)
Explore a 'defense-in-depth' approach to writing SQL in order to avoid a problem when using INSERT code.
April 29, 2019
by
Phil Factor
·
9,050 Views
·
2 Likes
Build It Yourself: Chatbot API With Keras/TensorFlow Model
Build a chatbot with Keras and TensorFlow.
April 29, 2019
by
Andrejus Baranovskis
·
23,170 Views
·
8 Likes
Spring Data LDAP
Check out this post to learn more about securing Angular apps with the Spring Data LDAP.
April 29, 2019
by
Saurabh Sharma
CORE
·
37,612 Views
·
7 Likes
Why API Schemas Are Better Than Connectors for Integration
Learn about API schemas and why they're better than connectors for integration.
April 26, 2019
by
David Brown
CORE
·
26,832 Views
·
10 Likes
Serverless Web Apps With Knative Compared to AWS Lambda
Want to know the different between Knative and AWS Lambda?
April 26, 2019
by
Michael Neale
·
16,752 Views
·
3 Likes
How to Use Backendless With React.js, Part 4: Build and Deploy
A quick post to finish off the series, we run a few commands to build and deploy the app we've created.
April 25, 2019
by
Vladimir Upirov
·
8,025 Views
·
1 Like
How to Use Hazelcast Auto-Discovery With Eureka
This post presents a step-by-step guide of how to set up your Eureka server and use it for the Hazelcast discovery.
April 25, 2019
by
Rafał Leszko
·
13,104 Views
·
2 Likes
How to Choose the Right Database Among Cassandra, MongoDB, and MySQL for Your Applications
See how to choose the right database for your applications.
April 25, 2019
by
Gazanfur Ali Mohammed
·
17,383 Views
·
12 Likes
First Steps With GCP SQL
In this post, we will take a look at how we can use Google Cloud Platform (GCP) SQL as a database for our Spring Boot application.
April 25, 2019
by
Gunter Rotsaert
CORE
·
12,639 Views
·
1 Like
Microsoft Azure SQL Database: vCore vs. DTU
Learn more about the Microsoft Azure SQL database and vCore vs. DTU.
April 25, 2019
by
Telmo Silva
·
19,483 Views
·
3 Likes
Reporting Code Coverage Using Maven and JaCoCo Plugin
Learn more about code coverage and the Maven-JaCoCo plugin.
April 25, 2019
by
Orlando Otero
·
153,541 Views
·
6 Likes
Anatomy of an Excel File and Large Excel File Operation With the POI Library
The main goal of this article is to read large Excel files with the streaming API from the POI library.
Updated April 24, 2019
by
Sanjoy Kumer Deb
CORE
·
63,448 Views
·
6 Likes
Use ASP.NET Web API and Angular to Build a Simple App
We learn how to use these popular technologies to create a metrics tracking application, and then secure that application.
Updated April 24, 2019
by
Lee Brandt
·
84,201 Views
·
2 Likes
Top 5 Courses to Learn Spring Cloud for Java Programmers in 2019
For Java developers, learning Spring Boot is the first step to learning to developer applications for the cloud.
Updated April 24, 2019
by
Javin Paul
·
15,716 Views
·
10 Likes
Example of ETL Application Using Apache Spark and Hive
In this article, we'll read a sample data set with Spark on HDFS (Hadoop File System), do a simple analytical operation, then write to a table that we'll make in Hive.
April 24, 2019
by
Emrah Mete
·
36,440 Views
·
4 Likes
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