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!

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

Kafka 106

Kafka Bytes Architecture Software Engineer 106

Confluent

JUNE 13, 2019

The data processing pipeline characterizes these objects, deriving key parameters such as brightness, color, ellipticity, and coordinate location, and broadcasts this information in alert packets. For alert rates of millions per night, scientists need a more structured data format for automated analysis pipelines.

Kafka 102

Kafka Bytes Python Data Pipeline 102

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

Hadoop 96

Hadoop Scala Datasets Java 96

ProjectPro

JANUARY 24, 2023

Google's Dremel is an interactive ad-hoc query solution for analyzing read-only hierarchical data. The data processing architectures of BigQuery and Dremel are slightly similar, however. It can process data stored in Google Cloud Storage, Bigtable, or Cloud SQL, supporting streaming and batch data processing.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

ProjectPro

DECEMBER 28, 2021

Discretized Streams, or DStreams, are fundamental abstractions here, as they represent streams of data divided into small chunks(referred to as batches). The raw event data can be converted into structured data collected using a continuous ETL pipeline based on Kafka, Spark Streaming, and HDFS. split("W+"))).groupBy((key,

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JANUARY 31, 2022

Snowflake Data Marketplace gives users rapid access to various third-party data sources. Moreover, numerous sources offer unique third-party data that is instantly accessible when needed. Snowflake's machine learning partners transfer most of their automated feature engineering down into Snowflake's cloud data platform.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52