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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

Backend code I wrote and pushed to prod took down Amazon.com for several hours. and hand-rolled C -code. We used a system called CVS ( Concurrent Versions System ) for version control, as Git did not exist until 2005 when Linus Torvalds created it. I then half-manually pushed code from staging to production.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

4 2005 7140596. In our second stage of the pipeline, we alter the partition scheme to include the year column using one line of code! We see that as of the first snapshot ( 7445571238522489274) we had data from the years 1995 to 2005 in the table. 1 2008 7009728. 2 2007 7453215. 3 2006 7141922. 5 2004 7129270. 6 2003 6488540.

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Making GHC faster at emitting code

Tweag

Some of that slowness is difficult to avoid—no matter how you slice it, typechecking and optimizing Haskell code takes a lot of work—but nobody would argue that there is not ample room for improvement. Remarkably, these gains come purely from targeted improvements to the mechanism by which GHC emits compiled code. As of version 9.6,

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The Art of Using Pyspark Joins For Data Analysis By Example

ProjectPro

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization PySpark Joins- Types of Joins with Examples There are various types of PySpark JOINS that allow you to join numerous datasets and manipulate them as needed. Also, the emp dataset's emp_dept_id has a relation to the dept dataset's dept_id.

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Top 18 Famous Ethical Hackers: The World Has Ever Known

Knowledge Hut

He was formerly the chief code inspector at Identity Guard. On the other hand, Torvalds retains final authority over what new code is integrated into the Linux kernel. In 2005, he was able to hack over 400,000 machines via a succession of large-scale "botnets." He is the famous cybersecurity director at Evian.

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How Snowflake Is Driving the Future of Auto Innovation

Snowflake

In 2005, most vehicles were mechanically sophisticated but had limited digital capabilities and integrations. The automotive industry has undergone a seismic transformation over the last several decades. Production: Drive smart factory initiatives, quality assurance and predictive maintenance.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

Code and data for this series are available on github. You can view the code here. 1] Dionne, Georges and Duchesne, Pierre and Pacurar, Maria, Intraday Value at Risk (Ivar) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange (December 13, 2005). Speed matters in financial markets. Citations. [1]

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