Alex Merced on Technology

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Canal • 7 programas

Tecnología

Tecnología

30/10/2024
Tecnología

Tecnología

30 jun
Tecnología

Tecnología

11 jun
Tecnología

Tecnología

Cada semana
Tecnología

Tecnología

6 abr
Tecnología

Tecnología

05/11/2024
Tecnología

Tecnología

11 jun

22/03/2023

EP9 - Build your open data lakehouse Iceberg with Fivetran and Dremio

The data lakehouse is quickly emerging as the ideal data architecture because it combines the flexibility and scalability of data lakes with the data management, data governance, and data analytics capabilities of data warehouses. Table formats bring many of the “house” features to the data lakehouse. Apache Iceberg is a truly open table format that is built for easy management and high performance analytics on the largest data volumes in the world. In this video, we’ll discuss: - Why open table formats are fundamental to building a data lakehouse - How Fivetran automates data movement and helps organizations easily move data from various sources to their Amazon S3 data lake in Apache Iceberg tables. - How Dremio & Fivetran simplify your data lakehouse architecture while providing high performance and ease of use. See all upcoming episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN#datalakehouse #analytics #datawarehouse #datalake #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioartic #datamesh #metadata #modernization #datasharing #datagovernance #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #fivetran #automates #datamovement #amazons3

22/03/2023

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42 min
25/04/2023

EP13 - Making the Move: Five Factors to Consider When Migrating from Hadoop to the Data Lakehouse

Most users of the Hadoop platform are fed up with its high cost of operational overhead and poor performance. With innovations around open source standards, like Apache Iceberg and Arrow, the data lakehouse has emerged as the destination for companies migrating off Hadoop. In this video of Gnarly Data Waves, you will learn about: - 5 key factors to consider as you migrate off Hadoop to the Data Lakehouse - Why Apache Iceberg replaced Hive metastore - Creating a unified access layer on your data lakehouse with Dremio See all upcoming episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN#datalakehouse #analytics #datawarehouse #datalake #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioartic #datamesh #metadata #modernization #datasharing #migration #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #optimized #automates #datamovement #zorder #clustering #metrics #filtering #partitioning #sorting #tableformat #hive #hadoop #metastore #ApacheArrow #treehive #donaldfarmer

25/04/2023

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54 min
19/10/2023

EP37 - How NetApp is Redefining the Customer Experience with Product Analytics

Product analytics offers a transformative opportunity for companies to elevate the customer experience and offer a way to proactively understand customer behavior. This personalized understanding allows companies to tailor their product offerings, provide targeted recommendations, and streamline customer journeys, resulting in a more engaging, satisfying, and loyalty-inducing customer experience. Effective product analytics is a comprehensive strategy to proactively manage support and promote customer success. NetApp, a leading global company specializing in hybrid cloud data services, helps enterprises build a simple and secure way to drive innovation wherever their data and applications live. The customer experience is a core driver within NetApp’s portfolio of solutions offering. Watch Aaron Sims, Technical Director at NetApp as he shares his experience building out a unified access layer for product analytics with Dremio. In this video, you will learn: - NetApp’s journey to unified analytics with Dremio’s phased approach for Hadoop modernization - How a unified access layer makes data easier to discover and explore for your end users without data duplication - Ways to maximize your existing infrastructure investments for improved ROI and lower TCO with Dremio. See all upcoming episodes and past episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN Resource: https://www.dremio.com/resources/?utm... Events: https://www.dremio.com/events/?utm_me...#datalakehouse #analytics #datawarehouse #datalake #dataengineers #dataarchitects #governance #dremiocloud #getstarted #opendatalakehouse #apacheiceberg #selfservice #table #enterprisedata #analytics #dataanalytis #governance #security #cii #netapp #productanalytics #activeiq #producttelemetry #optimization #bigdata #ai #hadoop #spark #storagegrid #pipelines #semanticlayer #lakehousequeryengine #dataingestion #etl #query #disasterrecovery #tco

19/10/2023

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40 min
21/08/2024

EP55 - Unite Data Across Dremio, Snowflake, Iceberg, and Beyond

Organizations want to empower teams with data at their fingertips and in every part of their business. They want their teams to move quickly with data never as a bottleneck, but an accelerant to decision making —all without the curiosity tax too common in consumption-based cloud platforms. Dremio enables data teams to unify all of their disparate data, from Snowflake to Iceberg and other sources, by combining an intelligent semantic layer with a powerful SQL platform that eliminates silos, optimizes costs through intelligent query acceleration, and enables self-service analytics. You will how Dremio enables Snowflake users to: - Unify all of your data from Snowflake and all sources - Optimize analytics costs and performance - Use easy self-service analytics for faster time-to-insight - Ensure Apache Iceberg native compatibility for future-proof data access

21/08/2024

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14 min
27/03/2024

EP47 - Learn how to reduce your Snowflake cost by 50%+ with a lakehouse

Data leaders are navigating the challenging landscape of enabling data-driven customer experiences and enhancing operational efficiency through analytics insights, all while meticulously managing budgets. Organizations leveraging cloud data warehouses, like Snowflake, often grapple with the complexities of unifying data analytics across diverse cloud and on-premise applications. The process involves significant costs, resources, and time to extract, rebuild, and integrate data for consumability. Enter the data lakehouse - offering the potential to drastically reduce the total cost of ownership (TCO) associated with analytics. In this video, you will gain insights into: Key distinctions between traditional data warehouses and the innovative data lakehouse model. How Dremio empowers organizations to slash analytics TCO by over 50%. Uncovering hidden costs associated with data ingestion, storage, compute, business intelligence, and labor. Simplifying self-service analytics through Dremio's unified lakehouse platform. Watch Alex Merced, Developer Advocate at Dremio to explore the future of data management and discover how Dremio can revolutionize your analytics TCO, enabling you to do more with less.

27/03/2024

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35 min
20/01/2024

Bonus: New Youtube Channel, State of the Data Lakehouse

Find all my data resources below:https://bio.alexmerced.com/data Listen to the State of the Data Lakehouse Podcast Here:https://em360tech.com/podcast/dremio-state-data-lakehouse?utm_source=podcasts&utm_medium=podcast&utm_content=content&utm_campaign=alexmercedcontent&utm_term=iceberg+lakehouse+nessie

20/01/2024

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3 min
23/08/2023

5 – Docker and Dev Education

Alex Merced discusses using docker for dev education, here is a link to the resources he mentions. In just a few commands, you can have everything you need to practice ingestion and querying with popular data software. Just install Docker and then run the commands in the image. You can also follow the directions in […]

23/08/2023

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31/03/2023

EP10 - Optimizing Data Files in Apache Iceberg Performance Strategies

Querying 100s of petabytes of data demands optimized query speed specifically when data accumulates over time. We have to ensure that the queries remain efficient because over time you may end up with a lot of small files and your data might not be optimally organized. In this video, Dipankar will cover: Apache Iceberg table format Problems in the data lake: small files, unorganized files Techniques such as: partitioning, compaction, metrics filtering Overlapping metrics problem Solving it using sorting, Z-order clustering See all upcoming episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN #datalakehouse #analytics #datawarehouse #datalake #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioartic #datamesh #metadata #modernization #datasharing #datagovernance #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #optimized #automates #datamovement #zorder #clustering #metrics #filtering #partitioning #sorting #tableformat

31/03/2023

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42 min
20/08/2024

EP54 - Mastering Semantic Layers: The Key to Data-Driven Innovation

Learn how to master semantic layers with Dremio. We will provide a high-level overview of their purpose in modern analytics, showing how they act as a bridge between complex data sources and business users. You’ll learn how semantic layers simplify data access, ensure consistency, and empower users to derive meaningful insights from data, regardless of their technical expertise. - The definition and core purpose of a semantic layer in data analytics: How it acts as a bridge between complex data and business users, simplifying data access and interpretation. - Key benefits and use cases of semantic layers: How they enable self-service analytics, ensure data consistency, and accelerate time-to-insight. - How Dremio's semantic layer technology can transform your data strategy: Dremio makes it easier to manage and leverage your data for faster, data-driven decision-making.

20/08/2024

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51 min
30/12/2024

2025, Data Lakehouse Looking Forward

Alex Merced discusses what he looks forward to in 2025 in the Data Lakehouse Space. Alex Merced Event Listings: https://lu.ma/LakehouselinkupsAlex on Bluesky: https://bsky.app/profile/alextalksdatalakehouses.fyi Alex on Twitter: https://x.com/AMdatalakehouse Alex on LinkedIn: https://www.linkedin.com/in/alexmerced/

30/12/2024

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Podcasts where Alex Merced discusses technology like Web Development and Data Engineering. Join the devNursery slack community for web developers at devNursery.com Join the DataNation slack community for data engineers, scientists and analysts at datanation.click