Analytics Vidhya
FEBRUARY 1, 2023
Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)
Christophe Blefari
FEBRUARY 23, 2024
Spark future — I'm convinced that Apache Spark will have to transform itself if it is not to disappear (disappear in the sense of Hadoop, still present but niche). Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL). But for sure I'll add Arrow in the v2.
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Data Engineering Podcast
JANUARY 13, 2019
How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product? How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product? Have you been able to leverage some of the native improvements to simplify your implementation?
Data Engineering Podcast
FEBRUARY 11, 2018
release of PostGreSQL had on the design of the project? release of PostGreSQL had on the design of the project? Can you start by explaining what Timescale is and how the project got started? The landscape of time series databases is extensive and oftentimes difficult to navigate. What impact has the 10.0 What impact has the 10.0
Rockset
JULY 6, 2022
After much internal debate, our team agreed to store every user event in Hadoop using a timestamp in a column named time_spent that had a resolution of a second. Take PostgreSQL , the popular transactional database that many companies have also used for simple analytics. The same problems face the NewSQL database, CockroachDB.
Data Engineering Podcast
MAY 20, 2018
Links Starburst Data Presto Hadapt Hadoop Hive Teradata PrestoCare Cost Based Optimizer ANSI SQL Spill To Disk Tempto Benchto Geospatial Functions Cassandra Accumulo Kafka Redis PostGreSQL The intro and outro music is from The Hug by The Freak Fandango Orchestra / {CC BY-SA]([link] Support Data Engineering Podcast
Ascend.io
SEPTEMBER 14, 2023
Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions. For those venturing into data lakes and distributed storage, tools like Hadoop’s Pydoop and PyArrow for Parquet ensure that Python isn’t left behind. Use Case: Storing data with PostgreSQL (example) import psycopg2 conn = psycopg2.connect(dbname="mydb",
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