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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint. This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. I’ll also be speaking, sharing some of the trends we see in this space.

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My Laptop is Faster than Your Cloud : Announcing MotherDuck

Tom Tunguz

Some of the brightest minds in data founded MotherDuck including BigQuery founding engineer Jordan Tigani & a broader team from Snowflake, Databricks, AWS, Meta, Elastic & Firebolt, among others. Interest in DuckDB has grown geometrically over the past few years because of what it can do with data.

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$100 Million ARR Pivot: From Platform Product to Vertical Apps With Treasure Data CEO Kazuki Ohta (Podcast #506 and Video)

SaaStr

At $5 million ARR, the positioning shifted to a “big data-as-a-service” platform. The product grew more mature, with three main functions: data collection, data warehouse, and data analysis. . Commoditization From AWS & Google Cloud. As Ohta says, “Around 2014 in Q4, we were about to cross a $2.5

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Cloud Data Lakes - The Keystone to the Decade of Data

Tom Tunguz

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. On January 27-28, Dremio host their second Subsurface conference.

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Top 10 Trends for Data in 2024

Tom Tunguz

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

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Business Intelligence Analyst Career Path

User Pilot

Here’s a quick rundown of their key tasks: Data Acquisition and Sorting : They help gather information from various sources like sales figures, customer surveys , and in-app behavior. This data often needs cleaning and organizing to ensure it’s accurate and usable. Consider courses on DataCamp or Codecademy.

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Data Democratization: Definition, Benefits, Implementation & Best Practices

User Pilot

Here are a few options Data warehouse – data warehouses like AWS Redshift enable you to consolidate your data in one place. Federation software – if you have a lot of data stored in different formats and locations, a data federation solution like IBM Pure Data may be a more practical solution than a warehouse.

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