The document covers the concept of big data and introduces Apache Hive, a data warehousing tool that facilitates managing large datasets using SQL. It discusses the capabilities of Hive, including data access, ETL processes, and querying techniques. The document also provides examples of SQL commands and resources for further learning about Hive.

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Big Data – SQL In The Big Data Era
Rafael Aguiar
Data Science Engineer @InLocoMedia

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Agenda
Contexto
Definição de Big Data
Um mapa do ecossistema
Apache Hive
Apache Hue
Por onde começar

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Mobile Ad Network
baseada em localização
de alta precisão (1-3m)
Terabytes de dados
comprimidos/mês
Como entender padrões
de visita?
Como recomendar
melhores anúncios?

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Big Data
“Datasets whose size is beyond the ability of typical database
software tools to capture, store, manage, and analyze.”
McKinsey (2011)

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Ecossistema

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Apache Hive
The Apache Hive data warehouse software
facilitates reading, writing, and managing large
datasets residing in distributed storage using SQL.
It provides:
Tools to enable easy access to data via SQL, thus
enabling data warehousing tasks such as
extract/transform/load (ETL), reporting, and data
analysis.
A mechanism to impose structure on a variety of
data formats
Query execution via Apache Tez, Apache Spark,
or MapReduce

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Apache Hive

8. Globalcode – Open4education
Apache Hive
Quando usar o Hive?
Você já sabe SQL e quer começar a processar
grandes datasets sem quebrar a cabeça
Você precisa rodar um job rapidamente e não tem
tempo hábil para escrever um código limpo e
otimizado

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Apache Hive
CREATE TABLE tdc_participants
(
name STRING,
age INT,
skills ARRAY <STRING>,
likes_beer BOOLEAN,
home_town STRING
)
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.
OpenCSVSerde'
WITH SERDEPROPERTIES (
"separatorChar" = ",",
"quoteChar" = "'",
"escapeChar" = ""
)
STORED AS TEXTFILE;
SELECT home_town, count(*)
FROM tdc_participants
WHERE array_contains(skills, "big-data")
AND likes_beer = TRUE
GROUP BY home_town;

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Apache Hive
CREATE TEMPORARY FUNCTION st_linestring AS "com.esri.hadoop.hive.ST_LineString";
CREATE TEMPORARY FUNCTION st_setsrid AS "com.esri.hadoop.hive.ST_SetSRID";
CREATE TEMPORARY FUNCTION st_geodesiclengthwgs84 AS "com.esri.hadoop.hive.ST_GeodesicLengthWGS84";
CREATE TABLE location (id STRING, lat DOUBLE, lng DOUBLE, epoch BIGINT) {...};
SET hivevar:PLACE_OF_INTEREST= named_struct("lat",1.0, "lng", 1.0);
SET hivevar:MAX_DISTANCE = 10;
SET hivevar:SPATIAL_REF_ID = 4326;
SELECT count(distinct id)
From location
WHERE location.lat IS NOT NULLAND
location.lng IS NOT NULLAND
st_geodesiclengthwgs84(
st_setsrid(
st_linestring(
${hivevar:PLACE_OF_INTEREST}.lng,
${hivevar:PLACE_OF_INTEREST}.lat,
location.lng,
location.lat),
${hivevar:SPATIAL_REF_ID})) < ${hivevar:MAX_DISTANCE};

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Apache Hue
http://demo.gethue.com/

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Por onde começar
https://hive.apache.org/
http://gethue.com/
Programming Hive, by Edward Capriolo
https://github.com/Prokopp/the-free-hive-book

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Rafael Aguiar
rafael@inlocomedia.com
@rafadaguiar
#TDCHive

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Obrigado!