Remove Analytics Remove Architecture Remove Big Data Remove Performance
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Firebolt, a data warehouse startup, raises $100M at a $1.4B valuation for faster, cheaper analytics on large data sets

TechCrunch

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218
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Join us at the Iceberg Summit 2024

Cloudera

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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Software AG Ranked as a Leader in the Big Data Streaming Analytics Platforms

CTOvision

a leading independent research firm, invited to participate in its report, “The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 1 ”. Streaming Analytics is at the core of our IBO offering and is the basis upon which companies can manage fast ‘Big Data’ and the increasing impact of the ‘Internet of Things’.”.

Big Data 109
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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Big Data Analytics with Cloudera Impala. “As

Big Data 109
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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration.

Big Data 119
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Data lake architecture

Apiumhub

One way through which businesses are doing this is through the use of Data Lakes to create a centralized place management infrastructure that allows every organization to manage, store, analyze and classify data. The concept of Data lake architecture has recently become a hot topic. What is Data Lake?

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness. The following diagram illustrates this architecture.