Data Lakes

What's New: New Apache Iceberg Features Ease the Pain Of Managing Your Data Lake

Nov 20, 2024 By Snowflake In Snowflake

Are you struggling with the challenges of managing your data lake as you strive to address issues ranging from security headaches to troubleshooting complex pipelines? This BUILD 2024 session addresses those challenges with a look at how Snowflake makes it easier to onboard Apache Iceberg into your data lake. The session dives into new features that simplify security, streamline data ingestion and transformation, and enhance integration with your existing tools. You’ll also see how Snowflake provides enterprise-grade redundancy to the data lakehouse architecture, making it easier for teams to work together globally.

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Why enterprises are adopting Fivetran's Managed Data Lake Service

Oct 18, 2024 By Charles Wang In Fivetran

Fivetran Managed Data Lake Service brings automation, governance and reliability to data lakes.

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BigQuery tables for Apache Iceberg: optimized storage for the open lakehouse

Oct 12, 2024 By Anoop Johnson In Google BigQuery

The BigQuery tables for Apache Iceberg storage engine offers autonomous storage optimizations, clustering, and high-throughput streaming ingestion.

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Optimize Your AWS Data Lake with Streamsets Data Pipelines and ChaosSearch

Oct 11, 2024 By Sandro Lima In ChaosSearch

Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.

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Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Oct 10, 2024 By Bill Zhang In Cloudera

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

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5 Ways to Approach Data Analytics Optimization for Your Data Lake

Sep 26, 2024 By Thomas Hazel In ChaosSearch

While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.

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Databricks Data Lakehouse Versus a Data Warehouse: What's the Difference?

Sep 12, 2024 By David Bunting In ChaosSearch

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

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Ultimate Guide to Amazon S3 Data Lake Observability for Security Teams

Aug 15, 2024 By Dave Armlin In ChaosSearch

Today’s enterprise networks are complex. Potential attackers have a wide variety of access points, particularly in cloud-based or multi-cloud environments. Modern threat hunters have the challenge of wading through vast amounts of data in an effort to separate the signal from the noise. That’s where a security data lake can come into play.

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