Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Text
Use this Text block to tell your course or coaching’s story.
Write anything from one-liners to detailed paragraphs that tell your visitors more about what you’re selling.
This block - along with other blocks that contain text content - supports various text formatting such as header sizes, font styles, alignment, ordered and unordered lists, hyperlinks and colors.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Title
Use this block to showcase testimonials, features, categories, or more. Each column has its own individual text field. You can also leave the text blank to have it display nothing and just showcase an image.
Example Curriculum
- 01 Azure Databricks Demo Part1 (66:03)
- 02 Azure Databricks Demo Part2 (69:15)
- 03 ADB - Create a Free Subscription (60:24)
- 04 ADB - Create Azure Subscription (50:56)
- 05 ADB - Read Data From CSV File (74:27)
- 06 ADB - Read Data From CSV File Part2 (50:00)
- 07 ADB - Utilities (45:56)
- 08 ADB - Install SQL (35:26)
- 09 ADB - Widgets Part1 (57:33)
- 10 ADB - Widgets Part2 (65:34)
- 11 ADB - Mounts (71:18)
- 12 ADB - Secrets and Types (55:18)
- 13 ADB - Install CLI (43:37)
- 14 ADB - Demos on Creating Secret Scope in Databricks (54:44)
- 15 ADB - Read the csv Files Data using Various Methods (65:50)
- 16 ADB - PySpark Intro, DWH and Big Data and Data Frame (64:15)
- 17 ADB - Write Modes in PySpark (66:16)
- 18 ADB - Read and Write Data in Parquet Files (49:03)
- 19 ADB - Create Data Frame with Schema (42:37)
- 20 ADB - Spark Data Types (10:33)
- 21 ADB - Intro on PySpark Functions (19:38)
- 22 ADB - Array Related Functions, withColumn, Col, Explode, Split (53:26)
- 23 ADB - Conditional Statement, Sort, Alias Functions (35:49)
- 24 ADB - Distinct, Union, Group By, Order By, Drop Duplicates (58:43)
- 25 ADB - Inner Join, Outer , Left Semi, Left and Right Anti Joins (29:22)
- 26 ADB - Pivot, UnPivot, Cross and Self Join, Lit Function (69:41)
- 27 ADB - Fillna, Range, Sample, Collect, Create Temp Table, Transform , UDFs (77:05)
- 28 ADB - ToJson, Ranking, Date and Time Functions (67:02)
- 29 ADB - Spark Functions Part5 Array Functions (19:40)
- 30 ADB - RDD, Data Frame, Dataset and Lazy Evalution and DAG (56:18)
- 31 ADB - Distribution Types, Broadcast Join and Optimize Spark Jobs (44:21)
- 32 ADB - Intro on Delta Lake or Lake House (60:06)
- 33 ADB - Understand ACID Properties in Delta Lake (51:10)
- 34 ADB - Delta Lake Demo using CSV File (58:33)
- 35 ADB - Delta Table with Path and Meta Store using Partitions (52:34)
- 36 ADB - Schema Enforcement in Delta Tables (18:59)
- 37 ADB - Time Travel and Audit History (59:48)
- 38 ADB - Restore and Truncate, Internal and External Tables (32:00)
- 39 - ADB - Vacuum Delta Tables (40:47)
- 40 ADB - More Small Files Issue and Optimization (49:56)
- 41 ADB - Intro to Hive (48:22)
- 42 ADB - Partition, Repartition, Optimize and Z-Ordering (48:38)
- 43 ADB - Demo on Z Ordering (45:52)
- 44 ADB - Data Engineering Interview Questions (39:51)
- 45 ADB - Liquid Clustering (52:13)
- 46 ADB - Streaming Data (39:55)
- 47 ADB - Demo on Stream Data (49:08)
- 02 DWH - Top Down vs Bottm Up Approach (44:53)
- 01 DWH - Intro (49:52)
- 03 DWH - ODS Vs DWH (43:28)
- 04 DWH - Convert OLTP Data to OLAP Data (43:15)
- 05 DWH - Intro to Dim Modeling (56:13)
- 06 DWH - Designing Stage and DWH (49:54)
- 07 DWH - Normalization Vs De-Normalization and Designing DWH (57:03)
- 08 DWH - Schemas (52:29)
- 09 DWH - Load Data to DWH using SSIS (72:37)
- 10 DWH - Dims and Facts (17:18)
- 11 DWH - Types of Dimensions (61:25)
- 12 DWH - Types of Dimensions SCD and Inferred Dim (54:04)
- 13 DWH - Types of Facts (51:03)
- Amazon Project Scripts
- Incr Loading Vs Full Loading
- ODS
Example Image with Text
Use this Image with Text block to balance out your text content with a complementary visual to strengthen messaging and help your students connect with your product, course, or coaching. You can introduce yourself with a profile picture and author bio, showcase a student testimonial with their smiling face, or highlight an experience with a screenshot.
Example Featured Products
Showcase other available courses, bundles, and coaching products you’re selling with the Featured Products block to provide alternatives to visitors who may not be interested in this specific product.
