DZone

AUGUST 21, 2021

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

Big Data Performance Tuning Mobile 246

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 186

Analytics Innovation Metrics Database 186

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. To achieve that I took two approaches: Visualizing historic problem data via a “Swimlane Visualization”.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. It is available under a paid subscription. It supports native sharding being transparent for the application.

Open Source 89

Open Source Storage Database Big Data 89

The Netflix TechBlog

OCTOBER 15, 2019

No need to acquire locks on tables, which is essential to ensure that the write traffic on the database is never blocked by our service. High availability, via standby instances across AWS Availability Zones. Historically, message publishing at Netflix is optimized for availability instead of durability (see a previous blog ).

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Transportation Architecture Processing Storage 192

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Text search.

Database 40

Database Analytics Blockchain Healthcare 40

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Data connectivity across Netflix Studio and availability of Operational Reporting tools also incentivizes studio users to avoid forming data silos. When an upstream schema evolves (e.g.

Big Data 253

Big Data Government Analytics Processing 253