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title: How to Create Delta Lake Tables | daily.dev
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> Use this file to discover all available pages before exploring further.

# How to Create Delta Lake Tables

**[Delta Lake Blog](https://daily.dev/sources/delta-lake)** · 6 min read · 0 upvotes · 0 comments

## Summary

A practical guide to creating Delta Lake tables using multiple approaches: writing a PySpark DataFrame with format 'delta', using the DeltaTable programmatic API, plain SQL CREATE TABLE statements, converting CSV files (via PySpark or delta-rs for single files), and converting existing Parquet files in-place by adding a transaction log. It also covers creating Delta Lake tables from other ecosystem tools like delta-rs, kafka-delta-ingest, and Delta Standalone connectors for Java-based systems like Hive and Flink, highlighting Delta Lake's open format and broad interoperability.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://delta.io/blog/2022-10-25-create-delta-lake-tables>

## Questions this post answers

### How do I convert existing Parquet files into a Delta Lake table without rewriting the data?

You can convert Parquet files to Delta Lake in-place by adding a transaction log to the existing folder containing the Parquet files, without rewriting the underlying data. This works because Delta Lake stores data in Parquet files and metadata in a separate transaction log, so the conversion only needs to add that log alongside the existing files.

_daily.dev surfaces practical data-lake migration techniques for engineers converting Parquet pipelines to Delta Lake._

### What is the easiest way to create a Delta Lake table from a single CSV file without using Spark?

For a single CSV file, delta-rs can create a Delta Lake table directly from a Pandas DataFrame without any Spark dependency. If you have multiple CSV files, PySpark is generally the better choice since it can read multiple files in parallel before writing them out as a Delta Lake table.

_Developers comparing lightweight and Spark-based data tooling can track these tradeoffs on daily.dev._

### How do I create a Delta Lake table using SQL instead of a DataFrame API?

You can create a Delta Lake table with a pure SQL CREATE TABLE command, similar to creating a table in a relational database, then add data and query it as usual. This approach mirrors familiar relational database workflows, making it straightforward for teams already comfortable with SQL DDL syntax.

_daily.dev helps data engineers keep up with SQL-based workflows across evolving table formats like Delta Lake._

## Similar posts on daily.dev

- [Apache Iceberg vs Delta Lake: Choosing the Right Table Format](https://daily.dev/posts/apache-iceberg-vs-delta-lake-choosing-the-right-table-format-vtnia2ems) · BigData Boutique blog · 7 upvotes · 0 comments

---

Tags: [#sql](https://daily.dev/tags/sql), [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark), [#pyspark](https://daily.dev/tags/pyspark)

[View this post on daily.dev](https://daily.dev/posts/how-to-create-delta-lake-tables-cu2oqoltb)

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