Towards Data Science
MARCH 5, 2024
Introduction In the field of data warehousing, there’s a universal truth: managing data can be costly. Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. But let me give you a magical spell to appease the dragon: burn data, not money!
Cloudera
NOVEMBER 15, 2021
The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.
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Confluent
JUNE 13, 2019
For alert rates of millions per night, scientists need a more structured data format for automated analysis pipelines. After researching formats—and reading about Confluent’s suggestion of using Avro with Kafka —we settled on using Avro, an open source, JSON-based binary format, for serializing the data in the alert messages.
Pinterest Engineering
NOVEMBER 28, 2023
Pyoung = Seden / Ralloc where Pyoung is the period between young GC, Seden is the size of Eden and Ralloc is the rate of memory allocations (bytes per second). In order to maximize throughput, a TSDB data processing pipeline aims to optimize its performance.
ProjectPro
JANUARY 24, 2023
There are a number of functions, operations, and procedures that are specific to each data type. Due to this, combining and contrasting the STRING and BYTE types is impossible. BYTES(L), where L is a positive INT64 number, indicates a sequence of bytes with a maximum of L bytes allowed in the binary string.
Knowledge Hut
MAY 2, 2024
Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. quintillion bytes of data are created every single day, and it’s only going to grow from there. As estimated by DOMO : Over 2.5
ProjectPro
DECEMBER 28, 2021
Apache Spark Streaming Use Cases There are over 3000 companies that use Spark Streaming including companies like Zendesk, Uber, Netflix, and Pinterest To create real-time telemetry analytics, Uber collects terabytes of event data every day from their mobile users. split("W+"))).groupBy((key, groupBy((key, word) -> word).count(Materialized.<String,
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