Cloudera

JULY 26, 2021

Auditabily: Data security and compliance constituents need to understand how data changes, where it originates from and how data consumers interact with it. 4- Compose Data Experiences Organized around Value Propositions, Not Intermediate Data Outputs.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Knowledge Hut

DECEMBER 28, 2023

They must understand SEO terms like meta data, schema, indexing and more. From website designer skills to other web development skills, it’s ideal for learning and expanding your portfolio. Search Engine Optimization Search Engine Optimization (SEO) improves website visibility and ranking on search engine result pages.

Programming Language 52

Programming Language Python Certification MongoDB 52

ProjectPro

NOVEMBER 22, 2021

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

It also discusses several kinds of data. Schemas are available in various shapes and sizes, and the star schema and the snowflake schema are two of the most common. Entities in a star schema are depicted as stars, whereas those in a snowflake schema are depicted as snowflakes.

Big Data 52

Big Data Hadoop Relational Database AWS 52

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

Engineering at Meta

OCTOBER 17, 2023

So, how did we efficiently and safely remove all of the code and data related to Moments without adversely affecting Meta’s other products and services? SCARF has had an important impact at Meta. An engineer needs to delete their mobile code (Java, Objective-C) in order to free up and delete their server-side GraphQL definitions.

Coding 117

Coding Engineering Portfolio Data Schemas 117

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. Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40