├── site-screenshot.png ├── README.md ├── licence └── resources.json /site-screenshot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/snird/awesome-data-engineering-learning/HEAD/site-screenshot.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # [Awesome data engineering learning path](https://awesomedataengineering.com/) 2 | [![Awesome](https://awesome.re/badge-flat.svg)](https://awesome.re) 3 | 4 | Curated an organized learning path with the best learning resources 5 | 6 | The list is in the JSON file `resources.json`, but available for a more convenient view here: 7 | 8 | [Awesome data engineering learning path](https://awesomedataengineering.com/) 9 | 10 | ![preview](./site-screenshot.png?raw=true) -------------------------------------------------------------------------------- /licence: -------------------------------------------------------------------------------- 1 | Attribution 4.0 International 2 | 3 | ======================================================================= 4 | 5 | Creative Commons Corporation ("Creative Commons") is not a law firm and 6 | does not provide legal services or legal advice. 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For 392 | the avoidance of doubt, this paragraph does not form part of the 393 | public licenses. 394 | 395 | Creative Commons may be contacted at creativecommons.org. -------------------------------------------------------------------------------- /resources.json: -------------------------------------------------------------------------------- 1 | { 2 | "sql": { 3 | "display_name": "SQL", 4 | "description": "Querying data using SQL is an essential skill for anyone who works with data", 5 | "essentiality": 3, 6 | "resources": [ 7 | { 8 | "resource_type": "book", 9 | "is_free": false, 10 | "title": "Head First SQL: Your Brain on SQL", 11 | "author": "Lynn Beighley", 12 | "subject_coverage": 5, 13 | "depth": 4, 14 | "link": "https://www.amazon.com/Head-First-SQL-Brain-Learners/dp/0596526849" 15 | }, 16 | { 17 | "resource_type": "book", 18 | "is_free": false, 19 | "title": "Learning SQL: Generate, Manipulate, and Retrieve Data 3rd Edition", 20 | "author": "Alan Beaulieu", 21 | "subject_coverage": 5, 22 | "depth": 5, 23 | "link": "https://www.amazon.com/Learning-SQL-Generate-Manipulate-Retrieve/dp/1492057614" 24 | }, 25 | { 26 | "resource_type": "tutorial", 27 | "is_free": true, 28 | "title": "Tutorials Point SQL tutorial", 29 | "author": "tutorials point", 30 | "subject_coverage": 4, 31 | "depth": 2, 32 | "link": "https://www.tutorialspoint.com/sql/index.htm" 33 | }, 34 | { 35 | "resource_type": "tutorial", 36 | "is_free": true, 37 | "title": "Code academy SQL tutorial - interactive", 38 | "author": "code academy", 39 | "subject_coverage": 3, 40 | "depth": 2, 41 | "link": "https://www.codecademy.com/learn/learn-sql" 42 | }, 43 | { 44 | "resource_type": "tutorial", 45 | "is_free": true, 46 | "title": "SQLbolt SQL tutorial - interactive", 47 | "author": "SQLBolt", 48 | "subject_coverage": 4, 49 | "depth": 3, 50 | "link": "https://sqlbolt.com" 51 | }, 52 | { 53 | "resource_type": "course", 54 | "is_free": true, 55 | "title": "Khan Academy SQL video course - interactive", 56 | "author": "Khan Academy", 57 | "subject_coverage": 3, 58 | "depth": 3, 59 | "link": "https://www.khanacademy.org/computing/computer-programming/sql/" 60 | }, 61 | { 62 | "resource_type": "course", 63 | "is_free": false, 64 | "title": "The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert (Udemy course)", 65 | "author": "Nassim Badaoui", 66 | "subject_coverage": 5, 67 | "depth": 5, 68 | "link": "https://www.udemy.com/course/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/" 69 | } 70 | ] 71 | }, 72 | "programming": { 73 | "display_name": "Programming language", 74 | "description": "As a data engineer you'll be writing a lot of code to handle various business cases such as ETLs, data pipelines, etc. The de facto standard language for data engineering is Python (not to be confused with R or nim that are used for data science, they have no use in data engineering).", 75 | "essentiality": 3, 76 | "resources": [ 77 | { 78 | "resource_type": "book", 79 | "is_free": false, 80 | "title": "Python Crash Course: A Hands-On, Project-Based Introduction to Programming", 81 | "author": "Eric Matthes", 82 | "subject_coverage": 5, 83 | "depth": 4, 84 | "link": "https://www.amazon.com/Python-Crash-Course-2nd-Edition/dp/1593279280" 85 | }, 86 | { 87 | "resource_type": "book", 88 | "is_free": false, 89 | "title": "Learning Python, 5th Edition", 90 | "author": "Mark Lutz", 91 | "subject_coverage": 5, 92 | "depth": 5, 93 | "link": "https://www.amazon.com/Learning-Python-5th-Mark-Lutz/dp/1449355730" 94 | }, 95 | { 96 | "resource_type": "tutorial", 97 | "is_free": true, 98 | "title": "The Python Tutorial", 99 | "author": "Python documentation", 100 | "subject_coverage": 5, 101 | "depth": 5, 102 | "link": "https://docs.python.org/3/tutorial/" 103 | }, 104 | { 105 | "resource_type": "course", 106 | "is_free": false, 107 | "title": "Learn Python Programming Masterclass", 108 | "author": "Tim Buchalka", 109 | "subject_coverage": 5, 110 | "depth": 5, 111 | "link": "https://www.udemy.com/course/python-the-complete-python-developer-course/" 112 | }, 113 | { 114 | "resource_type": "course", 115 | "is_free": false, 116 | "title": "Learn Python Programming (Python 3)", 117 | "author": "Jason Cannon", 118 | "subject_coverage": 5, 119 | "depth": 5, 120 | "link": "https://www.udemy.com/course/python-programming-projects/" 121 | }, 122 | { 123 | "resource_type": "course", 124 | "is_free": true, 125 | "title": "Python for Everybody", 126 | "author": "University Of Michigan", 127 | "subject_coverage": 5, 128 | "depth": 5, 129 | "link": "https://www.coursera.org/specializations/python" 130 | }, 131 | ] 132 | }, 133 | "relational_db": { 134 | "display_name": "Relational Databases - Design & Architecture", 135 | "description": "RDBMS are the basic building blocks for any application data. A data engineer should know how to design and architect their structures, and learn about concepts that are related to them.", 136 | "essentiality": 3, 137 | "resources": [ 138 | { 139 | "resource_type": "course", 140 | "is_free": true, 141 | "title": "Database Design Course (freeCodeCamp)", 142 | "author": "Caleb Curry", 143 | "subject_coverage": 5, 144 | "depth": 4, 145 | "link": "https://www.youtube.com/watch?v=ztHopE5Wnpc" 146 | }, 147 | { 148 | "resource_type": "book", 149 | "is_free": false, 150 | "title": "Designing Data-Intensive Applications", 151 | "author": "Martin Kleppmann", 152 | "subject_coverage": 5, 153 | "depth": 5, 154 | "link": "https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321" 155 | }, 156 | { 157 | "resource_type": "tutorial", 158 | "is_free": true, 159 | "title": "Normalization of Database", 160 | "author": "studytonight.com", 161 | "subject_coverage": 4, 162 | "depth": 4, 163 | "link": "https://www.studytonight.com/dbms/database-normalization.php" 164 | }, 165 | { 166 | "resource_type": "book", 167 | "is_free": false, 168 | "title": "Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design", 169 | "author": "Michael Hernandez", 170 | "subject_coverage": 5, 171 | "depth": 5, 172 | "link": "https://www.amazon.com/Database-Design-Mere-Mortals-Hands/dp/0321884493" 173 | }, 174 | { 175 | "resource_type": "article", 176 | "is_free": true, 177 | "title": "DBMS Architecture: 1-Tier, 2-Tier & 3-Tier", 178 | "author": "Guru99", 179 | "subject_coverage": 4, 180 | "depth": 3, 181 | "link": "https://www.guru99.com/dbms-architecture.html" 182 | }, 183 | { 184 | "resource_type": "article", 185 | "is_free": true, 186 | "title": "An Introduction to High Availability Computing: Concepts and Theory", 187 | "author": "David Clinton", 188 | "subject_coverage": 4, 189 | "depth": 4, 190 | "link": "https://www.freecodecamp.org/news/high-availability-concepts-and-theory/" 191 | } 192 | ] 193 | }, 194 | "nosql_db": { 195 | "display_name": "noSql", 196 | "description": "noSQL is a term for any non-relational database model: key-value, document, column, graph, and more. A basic acquaintance is required, but going deeper into any model depends on the job (except columnar, in the next section).", 197 | "essentiality": 2, 198 | "resources": [ 199 | { 200 | "resource_type": "book", 201 | "is_free": false, 202 | "title": "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence", 203 | "author": "Martin Fowler, Pramod J. Sadalage", 204 | "subject_coverage": 5, 205 | "depth": 3, 206 | "link": "https://www.amazon.com/NoSQL-Distilled-Emerging-Polyglot-Persistence-ebook/dp/B0090J3SYW" 207 | }, 208 | { 209 | "resource_type": "book", 210 | "is_free": false, 211 | "title": "NoSQL for Mere Mortals", 212 | "author": "Dan Sullivan", 213 | "subject_coverage": 5, 214 | "depth": 3, 215 | "link": "https://www.amazon.com/gp/product/0134023218" 216 | }, 217 | { 218 | "resource_type": "course", 219 | "is_free": true, 220 | "title": "NoSQL systems (Coursera)", 221 | "author": "María del Pilar Ángeles", 222 | "subject_coverage": 4, 223 | "depth": 3, 224 | "link": "https://www.coursera.org/learn/nosql-databases#about" 225 | }, 226 | { 227 | "resource_type": "book", 228 | "is_free": false, 229 | "title": "Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement", 230 | "author": "Luc Perkins, Eric Redmond, Jim Wilson", 231 | "subject_coverage": 4, 232 | "depth": 2, 233 | "link": "https://www.amazon.com/Seven-Databases-Weeks-Modern-Movement/dp/1680502530" 234 | }, 235 | { 236 | "resource_type": "article", 237 | "is_free": true, 238 | "title": "NoSQL Tutorial: Learn NoSQL Features, Types, What is, Advantages", 239 | "author": "Guru99", 240 | "subject_coverage": 3, 241 | "depth": 2, 242 | "link": "https://www.guru99.com/nosql-tutorial.html" 243 | }, 244 | { 245 | "resource_type": "course", 246 | "is_free": false, 247 | "title": "MongoDB - The Complete Developer's Guide 2020", 248 | "author": "Academind", 249 | "subject_coverage": 5, 250 | "depth": 4, 251 | "link": "https://www.udemy.com/course/mongodb-the-complete-developers-guide/" 252 | }, 253 | { 254 | "resource_type": "book", 255 | "is_free": false, 256 | "title": "MongoDB: The Definitive Guide: Powerful and Scalable Data Storage", 257 | "author": "Kristina Chodorow", 258 | "subject_coverage": 5, 259 | "depth": 4, 260 | "link": "https://www.amazon.com/MongoDB-Definitive-Powerful-Scalable-Storage/dp/1449344682" 261 | }, 262 | { 263 | "resource_type": "tutorial", 264 | "is_free": true, 265 | "title": "MongoDB Tutorials - official docs", 266 | "author": "MongoDB", 267 | "subject_coverage": 5, 268 | "depth": 3, 269 | "link": "https://docs.mongodb.com/manual/tutorial/" 270 | }, 271 | { 272 | "resource_type": "video", 273 | "is_free": true, 274 | "title": "Redis Crash Course Tutorial", 275 | "author": "Traversy Media", 276 | "subject_coverage": 3, 277 | "depth": 3, 278 | "link": "https://www.youtube.com/watch?v=Hbt56gFj998" 279 | }, 280 | ] 281 | }, 282 | "columnar_db": { 283 | "display_name": "Columnar Databases", 284 | "description": "Column databases are a kind of nosql databases. They deserve their own section as they are essential for the data engineer as working with Big Data online (as opposed to offline batching) usually requires a columnar back-end.", 285 | "essentiality": 2, 286 | "resources": [ 287 | { 288 | "resource_type": "article", 289 | "is_free": true, 290 | "title": "Data Processing Holy Grail? Row vs. Columnar Databases", 291 | "author": "Joao Sousa", 292 | "subject_coverage": 3, 293 | "depth": 2, 294 | "link": "https://dzone.com/articles/the-data-processing-holy-grail-row-vs-columnar-dat", 295 | }, 296 | { 297 | "resource_type": "video", 298 | "is_free": true, 299 | "title": "Why We Built Our Own Distributed Column Store (42:40)", 300 | "author": "Sam Stokes at strangeloop", 301 | "subject_coverage": 4, 302 | "depth": 4, 303 | "link": "https://www.youtube.com/watch?v=tr2KcekX2kk", 304 | }, 305 | { 306 | "resource_type": "article", 307 | "is_free": true, 308 | "title": "Why Column Stores?", 309 | "author": "John Schulz", 310 | "subject_coverage": 3, 311 | "depth": 2, 312 | "link": "https://blog.pythian.com/why-column-stores/", 313 | }, 314 | ] 315 | }, 316 | "data_warehouses": { 317 | "display_name": "Data warehouses", 318 | "description": "Understand the concepts behind data warehouses and familiarize youself with common data warehouse solutions", 319 | "essentiality": 3, 320 | "resources": [ 321 | { 322 | "resource_type": "article", 323 | "is_free": true, 324 | "title": "What is Data Warehouse? Types, Definition & Example", 325 | "author": "Guru99", 326 | "subject_coverage": 3, 327 | "depth": 3, 328 | "link": "https://www.guru99.com/data-warehousing.html" 329 | }, 330 | { 331 | "resource_type": "book", 332 | "is_free": false, 333 | "title": "The Data Warehouse Toolkit", 334 | "author": "Ralph Kimball", 335 | "subject_coverage": 5, 336 | "depth": 5, 337 | "link": "https://www.amazon.com/Data-Warehouse-Toolkit-Definitive-Dimensional/dp/1118530802" 338 | }, 339 | { 340 | "resource_type": "book", 341 | "is_free": false, 342 | "title": "Building the Data Warehouse", 343 | "author": "W. H. Inmon", 344 | "subject_coverage": 5, 345 | "depth": 5, 346 | "link": "https://www.amazon.com/Building-Data-Warehouse-W-Inmon/dp/0764599445" 347 | }, 348 | { 349 | "resource_type": "video", 350 | "is_free": true, 351 | "title": "What is a Data Warehouse - Explained with real life example (9:36)", 352 | "author": "IT k Funde", 353 | "subject_coverage": 3, 354 | "depth": 3, 355 | "link": "https://www.youtube.com/watch?v=jmwGNhUXn_o" 356 | }, 357 | { 358 | "resource_type": "course", 359 | "is_free": false, 360 | "title": "Data Warehouse Fundamentals for Beginners", 361 | "author": "Alan Simon", 362 | "subject_coverage": 5, 363 | "depth": 5, 364 | "link": "https://www.udemy.com/course/data-warehouse-fundamentals-for-beginners/" 365 | }, 366 | { 367 | "resource_type": "course", 368 | "is_free": false, 369 | "title": "Data Warehouse Concepts: Basic to Advanced concepts", 370 | "author": "Sid Inf", 371 | "subject_coverage": 5, 372 | "depth": 5, 373 | "link": "https://www.udemy.com/course/master-datawarehouse-concepts-step-by-step-from-scratch/" 374 | }, 375 | { 376 | "resource_type": "video", 377 | "is_free": true, 378 | "title": "Data Warehousing With BigQuery: Best Practices (Cloud Next '19) (43:07)", 379 | "author": "Ryan McDowell", 380 | "subject_coverage": 4, 381 | "depth": 3, 382 | "link": "https://www.youtube.com/watch?v=ZVgt1-LfWW4" 383 | }, 384 | { 385 | "resource_type": "article", 386 | "is_free": true, 387 | "title": "Snowflake’s Cloud Data Warehouse — What I Learned and Why I’m Rethinking the Data Warehous", 388 | "author": "Ed Fron", 389 | "subject_coverage": 3, 390 | "depth": 3, 391 | "link": "https://medium.com/hashmapinc/snowflakes-cloud-data-warehouse-what-i-learned-and-why-i-m-rethinking-the-data-warehouse-75a5daad271c" 392 | }, 393 | { 394 | "resource_type": "video", 395 | "is_free": true, 396 | "title": "Best Practices for Data Warehousing with Amazon Redshift (18:03)", 397 | "author": "AWS", 398 | "subject_coverage": 3, 399 | "depth": 3, 400 | "link": "https://www.youtube.com/watch?v=ZvAqJtZ5JRs" 401 | }, 402 | ] 403 | }, 404 | "olap_data_modeling": { 405 | "display_name": "OLAP Data modeling", 406 | "description": "OLAP (analytical) databases (used in data warehouses) data modeling concepts, modeling the data correctly is essential for a functioning data warehouse", 407 | "essentiality": 2, 408 | "resources": [ 409 | { 410 | "resource_type": "book", 411 | "is_free": false, 412 | "title": "The Data Warehouse Toolkit", 413 | "author": "Ralph Kimball", 414 | "subject_coverage": 5, 415 | "depth": 5, 416 | "link": "https://www.amazon.com/Data-Warehouse-Toolkit-Definitive-Dimensional/dp/1118530802" 417 | }, 418 | { 419 | "resource_type": "video", 420 | "is_free": true, 421 | "title": "Data warehouse schema design - dimensional modeling and star schema", 422 | "author": "Snir David", 423 | "subject_coverage": 3, 424 | "depth": 4, 425 | "link": "https://snir.dev/talks/data-warehouse-schema-design" 426 | }, 427 | { 428 | "resource_type": "video", 429 | "is_free": true, 430 | "title": "Slowly changing dimensions in depth", 431 | "author": "Snir David", 432 | "subject_coverage": 3, 433 | "depth": 4, 434 | "link": "https://snir.dev/talks/slowly-changing-dimensions-in-depth" 435 | }, 436 | { 437 | "resource_type": "article", 438 | "is_free": true, 439 | "title": "Understand star schema and the importance for Power BI", 440 | "author": "Various at Microsoft", 441 | "subject_coverage": 3, 442 | "depth": 3, 443 | "link": "https://docs.microsoft.com/en-us/power-bi/guidance/star-schema" 444 | }, 445 | { 446 | "resource_type": "article", 447 | "is_free": true, 448 | "title": "Slowly Changing Dimension in Data Warehousing", 449 | "author": "Muhammad Salah El-Okda", 450 | "subject_coverage": 3, 451 | "depth": 2, 452 | "link": "https://medium.com/@Muhammad7Salah/slowly-changing-dimension-in-data-warehouse-7ca21e0e8c9" 453 | }, 454 | { 455 | "resource_type": "book", 456 | "is_free": false, 457 | "title": "Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema", 458 | "author": "Lawrence Corr, Jim Stagnitto", 459 | "subject_coverage": 5, 460 | "depth": 5, 461 | "link": "https://www.amazon.com/Agile-Data-Warehouse-Design-Collaborative/dp/0956817203" 462 | }, 463 | ] 464 | }, 465 | "batch_data_processing_and_map_reduce": { 466 | "before_segment_note": { 467 | "title": "Data processing - Batch, MapReduce, Streaming", 468 | "text": "The next 2 categories are all about data processing mechanisms. We'll start with batch processing and MapReduce, typically with Hadoop. This is considered the first gen of data processing. From there we'll go to stream processing, typically done with Spark. These subjects are deeply connected. For example, Spark can operate on HDFS which is the file system for Hadoop. Even though it would seem outdated to learn about batch processing with Hadoop, it is essential to understand the subject even if you plan to live the streaming data life." 469 | }, 470 | "display_name": "Batch data processing & MapReduce", 471 | "description": "The \"first\" generation of data processing, using Hadoop and Spring. Everyone should know how it works, but going deep into the details and operations are recommended only if necessary. Focus more on streaming with tools like Spark today.", 472 | "essentiality": 1, 473 | "resources": [ 474 | { 475 | "resource_type": "article", 476 | "is_free": true, 477 | "title": "Beginner’s Guide to Batch Processing", 478 | "author": "talend", 479 | "subject_coverage": 3, 480 | "depth": 2, 481 | "link": "https://www.talend.com/resources/batch-processing/" 482 | }, 483 | { 484 | "resource_type": "article", 485 | "is_free": true, 486 | "title": "What is MapReduce? How it Works - Hadoop MapReduce Tutorial", 487 | "author": "Guru99", 488 | "subject_coverage": 3, 489 | "depth": 3, 490 | "link": "https://www.guru99.com/introduction-to-mapreduce.html" 491 | }, 492 | { 493 | "resource_type": "article", 494 | "is_free": true, 495 | "title": "How do Hadoop and Spark Stack Up?", 496 | "author": "Amir Kalron", 497 | "subject_coverage": 3, 498 | "depth": 3, 499 | "link": "https://logz.io/blog/hadoop-vs-spark/" 500 | }, 501 | { 502 | "resource_type": "book", 503 | "is_free": false, 504 | "title": "Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale", 505 | "author": "Tom White", 506 | "subject_coverage": 5, 507 | "depth": 5, 508 | "link": "https://www.amazon.com/Hadoop-Definitive-Storage-Analysis-Internet/dp/1491901632" 509 | }, 510 | { 511 | "resource_type": "video", 512 | "is_free": true, 513 | "title": "Batch Processing with Spring", 514 | "author": "Michael Minella, Mahmoud Ben Hassine", 515 | "subject_coverage": 3, 516 | "depth": 4, 517 | "link": "https://www.youtube.com/watch?v=bhFBtNiZYYY" 518 | }, 519 | { 520 | "resource_type": "course", 521 | "is_free": false, 522 | "title": "The Ultimate Hands-On Hadoop - Tame your Big Data", 523 | "author": "Frank Kane", 524 | "subject_coverage": 5, 525 | "depth": 5, 526 | "link": "https://www.udemy.com/course/the-ultimate-hands-on-hadoop-tame-your-big-data/" 527 | }, 528 | ] 529 | }, 530 | "stream_data_processing": { 531 | "display_name": "Stream data processing", 532 | "description": "The \"next\" generation of data processing. Suggested to get a good grasp of the subject from the \"Streaming Systems\" book and then dive deep into a specific tool like Kafka, Spark, Flink, etc.", 533 | "essentiality": 2, 534 | "resources": [ 535 | { 536 | "resource_type": "book", 537 | "is_free": false, 538 | "title": "Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing", 539 | "author": "Tyler Akidau, Slava Chernyak, Reuven Lax", 540 | "subject_coverage": 5, 541 | "depth": 5, 542 | "link": "https://www.amazon.com/Streaming-Systems-Where-Large-Scale-Processing/dp/1491983876" 543 | }, 544 | { 545 | "resource_type": "book", 546 | "is_free": false, 547 | "title": "Spark: The Definitive Guide: Big Data Processing Made Simple", 548 | "author": "Bill Chambers, Matei Zaharia", 549 | "subject_coverage": 5, 550 | "depth": 5, 551 | "link": "https://www.amazon.com/Spark-Definitive-Guide-Processing-Simple/dp/1491912219" 552 | }, 553 | { 554 | "resource_type": "book", 555 | "is_free": false, 556 | "title": "Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications", 557 | "author": "Fabian Hueske, Vasiliki Kalavri", 558 | "subject_coverage": 5, 559 | "depth": 5, 560 | "link": "https://www.amazon.com/Stream-Processing-Apache-Flink-Implementation/dp/149197429X" 561 | }, 562 | { 563 | "resource_type": "course", 564 | "is_free": false, 565 | "title": "Kafka Streams for Data Processing", 566 | "author": "Stephane Maarek", 567 | "subject_coverage": 5, 568 | "depth": 5, 569 | "link": "https://www.udemy.com/course/kafka-streams/" 570 | }, 571 | { 572 | "resource_type": "course", 573 | "is_free": false, 574 | "title": "Streaming Big Data with Spark Streaming & Scala", 575 | "author": "Frank Kane", 576 | "subject_coverage": 5, 577 | "depth": 5, 578 | "link": "https://www.udemy.com/course/taming-big-data-with-spark-streaming-hands-on/" 579 | }, 580 | { 581 | "resource_type": "article", 582 | "is_free": true, 583 | "title": "What is Streaming Data?", 584 | "author": "Confluent", 585 | "subject_coverage": 3, 586 | "depth": 2, 587 | "link": "https://www.confluent.io/learn/data-streaming/" 588 | }, 589 | { 590 | "resource_type": "video", 591 | "is_free": true, 592 | "title": "Intro to Streams | Apache Kafka (10:11)", 593 | "author": "Confluent", 594 | "subject_coverage": 2, 595 | "depth": 2, 596 | "link": "https://www.youtube.com/watch?v=Z3JKCLG3VP4" 597 | }, 598 | { 599 | "resource_type": "video", 600 | "is_free": true, 601 | "title": "Data Stream Processing Concepts and Implementations (45:29)", 602 | "author": "Matthias Niehoff at Devoxx conf", 603 | "subject_coverage": 3, 604 | "depth": 3, 605 | "link": "https://www.youtube.com/watch?v=5inVCagXc2A" 606 | }, 607 | ] 608 | }, 609 | "pipelines": { 610 | "display_name": "Pipeline / Workflow Management", 611 | "description": "Scheduling tools for data processing. Airflow is considered to be the defacto standard, but any understanding of DAGs - directed acyclical graphs for tasks will be good.", 612 | "essentiality": 2, 613 | "resources": [ 614 | { 615 | "resource_type": "article", 616 | "is_free": true, 617 | "title": "Directed Acyclic Graph (DAG)", 618 | "author": "hazelcast", 619 | "subject_coverage": 3, 620 | "depth": 3, 621 | "link": "https://hazelcast.com/glossary/directed-acyclic-graph/" 622 | }, 623 | { 624 | "resource_type": "article", 625 | "is_free": true, 626 | "title": "Airflow docs - Concepts (Demonstrated with Airflow but the concepts are generic)", 627 | "author": "Airflow documentation", 628 | "subject_coverage": 4, 629 | "depth": 3, 630 | "link": "https://airflow.apache.org/docs/stable/concepts.html" 631 | }, 632 | { 633 | "resource_type": "book", 634 | "is_free": false, 635 | "title": "Data Pipelines with Apache Airflow", 636 | "author": "Bas P. Harenslak, Julian Rutger de Ruiter", 637 | "subject_coverage": 5, 638 | "depth": 5, 639 | "link": "https://www.amazon.com/Data-Pipelines-Apache-Airflow-Harenslak/dp/1617296902" 640 | }, 641 | { 642 | "resource_type": "video", 643 | "is_free": true, 644 | "title": "Data Pipeline Frameworks: The Dream and the Reality (35:33)", 645 | "author": "Mark Weiss", 646 | "subject_coverage": 4, 647 | "depth": 4, 648 | "link": "https://www.youtube.com/watch?v=C6Abv87D5dU" 649 | }, 650 | ] 651 | }, 652 | "security_and_privacy": { 653 | "display_name": "Security and privacy", 654 | "description": "How to manage sensitive data, compliance with regulation (GDPR) and more", 655 | "essentiality": 1, 656 | "resources": [ 657 | { 658 | "resource_type": "article", 659 | "is_free": true, 660 | "title": "What is data security?", 661 | "author": "IBM", 662 | "subject_coverage": 3, 663 | "depth": 3, 664 | "link": "https://www.ibm.com/topics/data-security" 665 | }, 666 | { 667 | "resource_type": "article", 668 | "is_free": true, 669 | "title": "What Do Data Scientists and Data Engineers Need to Know about GDPR?", 670 | "author": "Andrew Burt", 671 | "subject_coverage": 3, 672 | "depth": 3, 673 | "link": "https://www.infoq.com/articles/effective-data-management-age-GDPR/" 674 | }, 675 | { 676 | "resource_type": "book", 677 | "is_free": false, 678 | "title": "IT Governance: An International Guide to Data Security and ISO 27001/ISO 27002", 679 | "author": "Alan Calder, Steve Watkins", 680 | "subject_coverage": 5, 681 | "depth": 5, 682 | "link": "https://www.amazon.com/Governance-International-Guide-Security-27001/dp/0749496959" 683 | }, 684 | { 685 | "resource_type": "book", 686 | "is_free": false, 687 | "title": "Information Privacy Engineering and Privacy by Design", 688 | "author": "William Stallings", 689 | "subject_coverage": 5, 690 | "depth": 5, 691 | "link": "https://www.amazon.com/Information-Privacy-Engineering-Design-Understanding-ebook/dp/B082FMW1XX" 692 | }, 693 | { 694 | "resource_type": "video", 695 | "is_free": true, 696 | "title": "Data Security Essentials", 697 | "author": "Oracle developers", 698 | "subject_coverage": 4, 699 | "depth": 3, 700 | "link": "https://www.youtube.com/watch?v=9WckTTqpD_M" 701 | }, 702 | ] 703 | } 704 | } 705 | --------------------------------------------------------------------------------