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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

In October of 2020, Silicon Republic featured DataKitchen’s end-to-end DataOps Platform that allows users to orchestrate data teams, existing tools, and self-service sandboxes which leads to reduced errors and faster deployment: DataKitchen.

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How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

In this post, we show how Wallapop adopted Redshift Serverless and data sharing to modernize their data warehouse architecture. Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013.

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Two Reasons Why Apache Cassandra Is the Database for Real-Time Applications

CIO Business Intelligence

Keeping it at acceptable levels requires an underlying data architecture that can handle the demands of globally deployed real-time applications. As the number of users and devices (and data) grew rapidly, the limitations on scalability and the potential for failures became a serious threat to Netflix’s success.

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Why Invest Now? Three Investors Share the Story Behind Alation’s Series E

Alation

In fact, the original founder chemistry caught Sands’ attention back in 2013. “We At Databricks, we’re focused on enabling customers to adopt the data lakehouse, and that’s an open data architecture that combines the best of the data warehouse and the data lake into one platform,” Ferguson says. “[The

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Why We Started the Data Intelligence Project

Alation

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. As I’ll share, the ideas that led to last year’s launch were germinating for years in two very different places.