Big Data Archives - Tiger Analytics

Blog Tags: Big Data

Unlocking the Potential of Modern Data Lakes: Trends in Data Democratization, Self-Service, and Platform Observability

Learn how self-service management, intelligent data catalogs, and robust observability are transforming data democratization. Walk through the crucial steps and cutting-edge solutions driving modern data platforms towards greater adoption and democratization.

From Awareness to Action: Private Equity’s Quest for Data-Driven Growth

Data analytics is crucial for Private Equity (PE) firms to navigate a diverse client portfolio and complex data. Despite challenges such as data overflow and outdated strategies, a data-driven approach enables better decision-making, transparent valuation, and optimized investment opportunities, ensuring competitiveness in a dynamic market.

Automating Data Quality: Using Deequ with Apache Spark

Get to know how to automate data quality checks using Deequ with Apache Spark. Discover the benefits of integrating Deequ for data validation and the steps involved in setting up automated quality checks for improving data reliability in large-scale data processing environments.

Spark-Snowflake Connector: In-Depth Analysis of Internal Mechanisms

Examine the internal workings of the Spark-Snowflake Connector with a clear breakdown of how the connector integrates Apache Spark with Snowflake for enhanced data processing capabilities. Gain insights into its architecture, key components, and techniques for seamlessly optimizing performance during large-scale data operations.

Koalas Library: Integrating Pandas with PySpark for Data Handling

Get an introduction to Koalas, a tool that bridges the gap between Pandas and PySpark, and see how it allows for seamless data processing and analysis. Learn about Koalas’ features and how they simplify working with big data in a familiar Pandas-like interface.

Unlocking Data Insights: What You Must Know About Apache Kylin

Get to know the architecture, challenges, and optimization techniques of Apache Kylin, an open-source distributed analytical engine for SQL-based multidimensional analysis (OLAP) on Hadoop. Learn how Kylin pre-calculates OLAP cubes and leverages a scalable computation framework to enhance query performance.