ProjectPro

FEBRUARY 16, 2023

At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% Almost all major tech organizations use SQL. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. As a result, having a central repository to safely store all data and further examine it to make informed decisions becomes necessary for enterprises. This is the reason why we need Data Warehouses.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 22, 2022

This article will teach you exciting SQL project ideas to develop data analysis skills. It doesn’t matter if you are a beginner or a professional at using SQL; our list of SQL database projects has one for you. You don’t have to fear, because SQL programming language is here. What are some SQL projects?

Data Analysis 52

Data Analysis SQL Project Banking 52

DataKitchen

NOVEMBER 20, 2021

After all, we all deal with errors. Success is all about process reliability and consistency. It can be as simple as encapsulating common joins, unions, and filters or creating views. DataOps Engineers have tools that we apply to all of the pipeline orchestrations that we manage. You might ask what that means.

Engineering 98

Engineering Machine Learning Data Engineering Data Engineer 98

Rockset

JANUARY 16, 2019

This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Setting up Your Environment We’ll provide all the steps you'll need to connect Kafka and Rockset, and run some simple ad hoc queries and visualizations.

Kafka 40

Kafka SQL Python Data 40

ProjectPro

NOVEMBER 22, 2021

RDDs contain all datasets and dataframes. The distinct() function in PySpark is used to drop/remove duplicate rows (all columns) from a DataFrame, while dropDuplicates() is used to drop rows based on one or more columns. The most important aspect of Spark SQL & DataFrame is PySpark UDF (i.e., count())) df2.show(truncate=False)

Hadoop 52

Hadoop Python Datasets Metadata 52

Maxime Beauchemin

JANUARY 7, 2018

While business rules evolve constantly, and while corrections and adjustments to the process are more the rule than the exception, it’s important to insulate compute logic changes from data changes and have control over all of the moving parts. One potential solution is to re-think the size of the unit of work.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

ProjectPro

APRIL 15, 2016

Read More in Detail- /article/-mapreduce-vs-pig-vs-hive/163 2) Compare Apache Pig and SQL. Apache Pig differs from SQL in its usage for ETL, lazy evaluation, store data at any given point of time in the pipeline, support for pipeline splits and explicit declaration of execution plans. 4) Explain about the BloomMapFile.

Hadoop 40

Hadoop Java Big Data SQL 40

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Introduction Netflix relies on data to power its business in all phases. For example, a row in an aggregation target table needs all the rows from the source table associated with the aggregation row.

Process 84

Process Data Pipeline Datasets SQL 84

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . Analytical SQL workloads use aggregates and joins heavily.

Data Warehouse 87

Data Warehouse Bytes Data Business Intelligence 87

Netflix Tech

NOVEMBER 3, 2023

In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform. We were able to onboard many of these use cases by offering some commonly used Processors out of the box, such as Projection , Filtering , Unioning , and Field Renaming. The existing Data Mesh Processors have a lot of overlap with SQL.

SQL 106

SQL Pipeline-centric Kafka Data 106

Cloudera

MAY 9, 2024

At our recent Cloudera Now virtual event , we announced three new capabilities that support both of our AI priorities: An AI-driven SQL assistant, a Business Intelligence (BI) chatbot that converses with your data, and an ML copilot that accelerates machine learning development. That’s exactly what Cloudera’s SQL AI assistant is.

BI 71

BI SQL Business Analyst Machine Learning 71