article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data 321
article thumbnail

Data Storage Formats for Big Data Analytics: Performance and Cost Implications of Parquet, Avro, and ORC

DZone

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 278
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

3 Performance Tricks for Dealing With Big Data Sets

DZone

This article describes 3 different tricks that I used in dealing with big data sets (order of 10 million records) and that proved to enhance performance dramatically. Trick 1: CLOB Instead of Result Set.

Big Data 246
article thumbnail

Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279
article thumbnail

In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. Other flows are more sophisticated: one Storm topology can pass the data to another topology via Kafka or Cassandra. Towards Unified Big Data Processing. Apache Spark [10].

Big Data 154
article thumbnail

Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java.

Big Data 173
article thumbnail

ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

Google Cloud does offer their own wide column store and big data database called Bigtable which is actually ranked #111, one under ScyllaDB at #110 on DB-Engines. Google Cloud Platform (GCP) was the second most popular cloud provider for ScyllaDB, coming in at 30.4% of all cloud deployments.

Big Data 187