ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. from 2019 to 2026, reaching $61.42 billion by 2026. appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. And over time, we’ve invested effort into cleaning up our lineages, simplifying our logic,” said SeatGeek Director of Data Engineering, Brian London. Image courtesy of Monte Carlo.

Data Warehouse 52

Data Warehouse BI Data Government 52

Towards Data Science

FEBRUARY 15, 2023

Delta Lake also refuses writes with wrongly formatted data (schema enforcement) and allows for schema evolution. It contains a detailed description of each operation performed, including all the metadata about the operation. show() The history object is a Spark Data Frame. delta_table.history().select("version",

Data Lake 77

Data Lake Data Warehouse Hadoop Data Architecture 77

Towards Data Science

JANUARY 17, 2024

These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure. Data engineers often face a plethora of choices.

Big Data 70

Big Data Data Data Storage SQL 70

Monte Carlo

MARCH 2, 2023

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. Data SLAs You can’t improve what you don’t measure.

Food 52

Food Data SQL Data Pipeline 52

Monte Carlo

JANUARY 25, 2023

Data professionals are producers and consumers The first key difference between production service contracts and contracts within the data warehouse is that data producers and consumers are often both in data roles (analysts, data scientists, data engineers, etc). What happens when we detect bad data?

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

Cloudera

JANUARY 11, 2021

In addition, it can be challenging to keep a strong control of costs and to know where your data resides in an effort to serve your business well. Shared Data Experience (SDX), a shared persistent layer of access models, lineage-audit trace, and all metadata, is the key to the Cloudera data lake implementation.

Data Warehouse 62

Data Warehouse Pharmaceutical Data Lake BI 62

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer. What are its benefits?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Hive stores the metadata in RDBMS rather than HDFS.

Hadoop 40

Hadoop Metadata SQL Database 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40