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Analytics

From Hive Tables to Iceberg Tables: Hassle-Free

For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format. Some of the common issues include constrained schema evolution, static partitioning of data, and long planning time because of S3 directory listings.

The Future of Data Pipelines: Trends and Predictions

The global data integration market size grew from $12.03 billion in 2022 to $13.36 billion in 2023, making it evident that organizations are prioritizing efficient data integrations and emphasizing effective data pipeline management. Data pipelines play a pivotal role in driving business success by transforming raw datasets into valuable insights that fuel informed decision-making processes.

12 Times Faster Query Planning With Iceberg Manifest Caching in Impala

Iceberg is an emerging open-table format designed for large analytic workloads. The Apache Iceberg project continues developing an implementation of Iceberg specification in the form of Java Library. Several compute engines such as Impala, Hive, Spark, and Trino have supported querying data in Iceberg table format by adopting this Java Library provided by the Apache Iceberg project.

The Peak AI Platform Lets Businesses Tap Into The Power Of Artificial Intelligence

How does Peak leverage the power of Snowflake to provide businesses with the ability to integrate artificial intelligence right into their data infrastructure? In this episode of “Powered by Snowflake” host Daniel Myers explores that question with Peak Solution Engineer Chris Billingham, who also provides a demo of how the Peak platform works.

FinOps Camp Episode 1: Governing Cost with FinOps for Cloud Analytics, Fireside Chat

Program elements, use cases, and principles to manage cloud data costs Join Eckerson VP of Research Kevin Petrie, Unravel Chief Executive Officer Kunal Agarwal, and Unravel VP of Solutions Engineering Chris Santiago as we discuss how organizations govern cloud costs as they forecast, monitor, and account for resources. The emerging discipline of FinOps enables organizations of all sizes to turn cloud usage-based pricing models to their advantage. In this fireside chat, we will explore the FinOps lifecycle, including design, operation, and optimization.

Demo: Real-time Data Pipelines for Databricks Lakehouse with Qlik

Discover how Qlik's Data Integration Platform automates and accelerates your data pipeline for Databricks. In this demo, you will see why Databricks choose Qlik as their “Integration Partner of the Year”, with our Change Data Capture (CDC) capabilities, real-time data ingestion, and powerful analytics features. Enhance your AI, machine learning, and data science initiatives with secure and compliant data access. Deploy in any cloud configuration and integrate with diverse data sources.

Top Salesforce Trends Shaping the Future of CRM

Salesforce, the renowned customer relationship management (CRM) system, continues to evolve with new features and integrations, revolutionizing how modern businesses operate. In this dynamic landscape, staying ahead of the curve is crucial for companies like yours. Are you ready to harness the power of Salesforce's latest trends? Discover the transformative potential of AI, machine learning, and other cutting-edge capabilities within the Salesforce platform.