Remove Bytes Remove Coding Remove Metadata
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Databricks Delta Lake: A Scalable Data Lake Solution

ProjectPro

Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. This results in a fast and scalable metadata handling system.

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50 PySpark Interview Questions and Answers For 2025

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Some of the major advantages of using PySpark are- Writing code for parallel processing is effortless. MEMORY ONLY SER: The RDD is stored as One Byte per partition serialized Java Objects. We can store the data and metadata in a checkpointing directory. Mention some of the major advantages and disadvantages of PySpark.

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Data Engineering Weekly #221

Data Engineering Weekly

Built for the AI era, Components offers compartmentalized code units with proper guardrails that prevent "AI slop" while supporting code generation. If you look at all the BI or UI-based ETL tools, the code is a black box for us, but we validate the outcome generated by the black-box. and Lite 2.0)

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Snowflake Architecture and It's Fundamental Concepts

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This layer stores the metadata needed to optimize a query or filter data. To enable and keep table maintenance simpler, all DML functions (such as DELETE and UPDATE) make use of the underlying micro-partition metadata. For instance, only a small number of operations, such as deleting all of the records from a table, are metadata-only.

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Python Ray -The Fast Lane to Distributed Computing

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Our tutorial teaches you how to unlock the power of parallelism and optimize your Python code for optimal performance. ​​Imagine By leveraging multiple CPUs or even multiple machines, Python Ray enables you to parallelize your code and process data at lightning-fast speeds. Github stars, 4.3k

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100+ Kafka Interview Questions and Answers for 2025

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Message Broker: Kafka is capable of appropriate metadata handling, i.e., a large volume of similar types of messages or data, due to its high throughput value. Quotas are byte-rate thresholds that are defined per client-id. Deserialization is the process of converting the bytes of arrays into the desired data format.

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How to Build a Multimodal RAG Pipeline in Python?

ProjectPro

Standardization of file formats, encodings, and metadata ensures consistency and smooth downstream processing. These databases employ indexing techniques like HNSW and FAISS , ensuring optimized search capabilities while preserving metadata and relationships between modalities.