Unl

eash

ing

the

pow

er o

f Apa

che

Atla

s with

Apa

che

Rang

er

Virtu

al D

ata

Conn

ecto

r Pro

ject

NIG

EL JO

NES

JON

ESN

@U

K.IB

M.C

OM

DAT

AWO

RKS,

MU

NIC

H, A

PRIL

201

7A

pach

e®, A

pach

e A

tlas,

Apa

che

Rang

er &

oth

er A

pach

e pr

ojec

t nam

es re

fere

nced

are

eith

er re

giste

red

trade

mar

ks o

r tra

dem

arks

of t

he A

pach

eSo

ftwar

e Fo

unda

tion

in th

e U

nite

d St

ates

and

/or o

ther

cou

ntrie

s. N

o en

dors

emen

t by

The

Apa

che

Softw

are

Foun

datio

n is

impl

ied

by th

e us

e of

thes

e m

arks

.

Abo

ut M

e –

Nig

el Jo

nes

•ht

tps:/

/ww

w.lin

kedi

n.co

m/in

/nig

elljo

nes/

•jo

nesn

@uk

.ibm

.com

(Any

one

still

use

emai

l?)

•@

plan

etf1

– n

oisy

, f1,

ele

ctric

veh

icle

s, fo

od &

drin

k …

. A sp

lit o

f wor

k/lif

eac

coun

ts di

dn’t

wor

k fo

r me!

•A

nd o

f cou

rse

the

Apa

che

Atla

s & R

ange

r mai

ling

lists

& JI

RA!

•Sc

ienc

e fa

n at

scho

ol u

ni. I

t was

clo

ud c

ham

bers

bac

k th

en…

now

just

the

clou

dJ

•IB

M H

ursle

y, U

K si

nce

1990

•La

st 3

year

s foc

us o

n D

ata

Lake

, Inf

orm

atio

n G

over

nanc

e, O

pen

Met

adat

a

The

Prob

lem

…..

WH

Y A

RE

WE

HER

E…..

Dat

a?

•W

hat d

ata

do I

have

?•

Wha

t doe

s it m

ean?

•W

here

is it

?•

Who

has

acc

ess t

o it?

•W

ho o

wns

it?

•W

hat q

ualit

y is

it?

•H

ow d

oes i

t rel

ate

to o

ther

dat

a?•

How

to I

cont

rol,

audi

t & u

nder

stan

d ac

cess

?

Reg

ulat

ory

need

s

•A

dher

e to

regu

latio

ns li

ke B

CB

S-23

9 an

d G

DPR

•N

eed

to k

now

mea

ning

, val

ue o

f the

dat

a

•D

emon

stra

te p

roce

sses

in p

lace

to g

over

n ac

cess

•A

udit

•Si

gnifi

cant

fine

s if r

ules

bre

ache

d

•W

hils

t ens

urin

g ea

sy, r

eady

acc

ess t

o ap

prop

riate

dat

a fo

r dat

a pr

ofes

sion

als t

o su

ppor

tan

agi

le b

usin

ess

So w

hat d

o w

e ne

ed to

add

ress

this

?

Met

adat

a..

•M

etad

ata

enab

les d

ata

to b

e us

ed o

utsid

e of

the

appl

icat

ion

that

cre

ated

it.

•A

naly

tics a

nd d

ecisi

on m

akin

g

•N

ew b

usin

ess a

pplic

atio

ns

•Re

porti

ng a

nd c

ompl

ianc

e

•M

etad

ata

desc

ribes

the

form

at a

nd c

onte

nt o

f dat

a al

low

ing

peop

le to

judg

e w

hich

data

set t

o us

e fo

r a n

ew p

roje

ct•

Stru

ctur

e

•M

eani

ng

•O

rigin

•Va

lid v

alue

s and

qua

lity

•U

sage

and

ow

ners

hip

•Re

gula

tions

and

cla

ssifi

catio

ns th

at a

pply

Whi

ch c

an su

ppor

t…

•A

n en

terp

rise

data

cat

alog

ue th

at li

sts a

ll da

ta in

clud

ing

whe

re it

is, w

hat i

t is,

who

owns

it, i

t’s m

eani

ng, q

ualit

y, w

here

it c

ame

from

, an

d ca

n fu

lly d

escr

ibe

it’s

busi

ness

con

text

& h

ow th

e da

ta s

houl

d be

gov

erne

d….

•Su

bjec

t Mat

ter e

xper

ts se

arch

ing,

col

labo

ratin

g, fe

edin

g ba

ck a

bout

thei

r dat

ane

eds a

nd u

se•

Aut

omat

ed g

over

nanc

e ac

tions

to p

rote

ct a

nd m

anag

e in

clud

ing

audi

ting,

mon

itorin

g, q

ualit

y co

ntro

l, rig

hts m

anag

emen

t

But e

asily

…

•O

pen

fram

ewor

ks &

API

s•

Aut

omat

ic c

olle

ctio

n &

disc

over

y of

met

adat

a in

a d

ynam

ic h

eter

ogen

eous

envi

ronm

ent

•U

sing

pred

efine

d sta

ndar

ds fo

r glo

ssar

ies,

sche

mas

, rul

es, r

egul

atio

ns to

redu

ceco

st•

Chea

p to

inte

grat

e ne

w to

ols

•N

o pr

oprie

tary

lock

-in &

ass

umpt

ions

that

all

tool

s are

from

one

suite

or v

endo

r•

Avoi

ding

silo

s•

Dist

ribut

ed a

nd O

pen

The

visi

on

Ope

nand

Unifie

dMetadata

Virt

ualiz

atio

n D

ata

Con

nect

or p

roje

ct

Dat

a vi

rtual

izat

ion

proj

ect

•Co

llabo

ratio

n –

IBM

, sev

eral

ban

ks &

ope

n co

mm

unity

•A

Dat

a La

ke e

nviro

nmen

t•

Not

just

Had

oop,

but

oth

er so

urce

s too

•Bu

sines

s Ter

ms,

Clas

sifica

tions

, Met

adat

a ric

h

•O

ffer v

irtua

lized

vie

ws.

Expo

se re

latio

nal d

ata

with

bus

ines

s ter

ms

•M

anag

e A

cces

s to

reso

urce

s – p

erm

it, d

eny,

log,

filte

r/mas

k …

. TH

ROU

GH

MET

AD

ATA

•O

pen,

plu

ggab

le

•W

orki

ng th

roug

h us

e ca

ses,

desig

n, in

itial

MV

P (th

is ye

ar)

•Cr

itiqu

e, fe

edba

ck is

wel

com

ed. W

e’re

look

ing

for g

uida

nce

and

supp

ort f

rom

the

Atla

s & R

ange

r com

mun

ities

as w

ell a

s con

tribu

te o

ur id

eas

•Pr

opos

ed c

hang

es a

ll go

thro

ugh

mai

ling

list a

nd JI

RA fo

r fee

dbac

k

Apa

che

Atla

s

•“A

tlas i

s a sc

alab

le a

nd e

xten

sible

set o

f cor

e fo

unda

tiona

l gov

erna

nce

serv

ices

–en

ablin

g en

terp

rises

to e

ffect

ivel

y an

d ef

ficie

ntly

mee

t the

ir co

mpl

ianc

ere

quire

men

ts w

ithin

Had

oop

and

allo

ws i

nteg

ratio

n w

ith th

e w

hole

ent

erpr

ise d

ata

ecos

yste

m.”

…. h

ttp://

ww

w.ap

ache

.org

•O

pen

Com

mun

ity --

Apa

che

Incu

bato

r sin

ce M

ay 2

015

•Ty

pe a

gnos

tic m

etad

ata

store

•RE

ST A

PI &

UI

•Su

ppor

ts m

any

Had

oop

com

pone

nts i

nclu

ding

HBa

se, H

ive,

Sqo

op, S

torm

&ot

hers

Apa

che

Ran

ger

•C

entra

lized

secu

rity

adm

inis

tratio

n to

man

age

all s

ecur

ity re

late

d ta

sks i

n a

cent

ral

UI o

r usi

ng R

EST

API

s.•

Fine

gra

ined

aut

horiz

atio

n to

do

a sp

ecifi

c ac

tion

and/

or o

pera

tion

with

Had

oop

com

pone

nt/to

ol a

nd m

anag

ed th

roug

h a

cent

ral a

dmin

istra

tion

tool

•St

anda

rdiz

e au

thor

izat

ion

met

hod

acro

ss a

ll H

adoo

p co

mpo

nent

s.•

Enha

nced

supp

ort f

or d

iffer

ent a

utho

rizat

ion

met

hods

- R

ole

base

d ac

cess

con

trol,

attri

bute

bas

ed a

cces

s con

trol e

tc.

•C

entra

lize

audi

ting

of u

ser a

cces

s and

adm

inis

trativ

e ac

tions

(sec

urity

rela

ted)

with

in a

ll th

e co

mpo

nent

s of H

adoo

p.

•

… fr

om h

ttp://

rang

er.a

pach

e.or

g

Proj

ect I

nter

actio

ns

Sear

ch/R

epor

t

Gai

anD

B

•Se

arch

for l

ist o

f ass

ets b

y m

etad

ata

•Se

arch

for d

ata

•Re

porti

ng to

ol o

btai

ns d

ata

to d

raw

repo

rt

Und

erly

ing

data

, sql

, hiv

e,H

DFS

, Ora

cle,

Net

ezza

etc

Man

ages

logi

cal v

iew

s

Dep

loys

rule

s, pu

shes

clas

sifica

tions

, sou

rce

for

user

role

s (no

t use

rs)

+ran

ger p

lugi

n to

per

mit/

deny

, mas

k et

c

Pulls

rule

s. cl

assifi

catio

ns

RDBM

SH

adoo

p

Apa

che

Atla

s

Apa

che

Rang

erA

pach

e So

lr

Why

Atla

s and

Ran

ger?

•O

pen

Sour

ce e

ssen

tial t

o fo

rmin

g an

act

ive

ecos

yste

m•

Visio

n, a

ctiv

e co

mm

unity

& e

volv

ing

– ab

ility

to c

ontri

bute

& w

ork

with

oth

ers t

opr

ovid

e th

e be

st so

lutio

n•

Alre

ady

have

goo

d co

re c

apab

ilitie

s•

Atla

s typ

e sy

stem

is v

ery

flexi

ble

•Ra

nger

offe

rs a

rang

e of

pol

icy

type

s and

pro

vide

s a p

lugg

able

fram

ewor

k

•A

lread

y cr

oss p

roje

ct in

tegr

atio

n•

Use

of t

ag b

ased

pol

icie

in R

ange

r sou

rced

from

Atla

s

•Ca

n be

use

d in

depe

nden

tly o

f ful

l Had

oop

stack

Refi

ned

virtu

al c

onne

ctor

scop

e sc

ope

Gai

anD

B

Ranger

Plugin

Titan

(Graph

DB,

Metadata

Repo

sitory)

Ranger

Confi

g

Ran

ger S

erve

r

Atla

sPo

ll Po

licie

s

OMAS

OMRS

IGC

Pre

Post

CreateView

Metadata

Extractp

hysic

almetadata

Manage

Logical

Tables

Virt

ualiz

er

Ret

rieve

met

a da

ta

Ret

rieve

met

a da

taR

etrie

ve m

eta

data

Push

met

a da

ta

Oracle

Netezza

Hive

Tables

Push

and

que

ry m

eta

data

Dat

a La

ke R

epos

itorie

s

Meta

Data

Dat

a La

ke V

irtua

lizat

ion

tag-sync

rule-sync

Confi

g(egPolicies,

AuditloglocaMo

n)

LDAP

AuditLog

Mappe

r

Se

arch

for d

ata/

repo

rting

Push

and

que

rym

etad

ata

Meta

Data

Nav

igat

or

Meta

Data

Dat

amee

r

Gai

anD

B &

Virt

ualiz

er

•G

aian

DB

•O

pen

Sour

ce

•Fe

dera

ted,

self

lear

ning

, dyn

amic

con

figur

atio

n

•Ba

sed

on A

pach

e D

erby

•A

lread

y ha

d “p

olic

y” su

ppor

t – w

e’re

plu

ggin

g in

Ran

ger f

orth

is pr

ojec

t

•Vi

rtual

izer

•Li

stens

to e

vent

not

ifica

tions

on

asse

ts et

c

•Cr

eate

s vie

w d

efini

tions

in G

aian

DB,

and

new

Atla

s API

s to

store

met

adat

a. C

ould

use

diff

eren

t virt

ual e

ngin

e..

•D

esig

ned

to b

e op

en to

oth

er v

irtua

lizat

ion

tech

nolo

gies

.

LT1

LT2

DS2

DS1

DS3

Polic

yPl

ugin

(rang

er)

Virtu

aliz

erA

tlas

Gai

anD

B su

ppor

ts fe

dera

tion

– no

t use

d fo

r MV

P

Atla

s – g

loss

ary

enha

ncem

ents

•G

et A

tlas c

lose

r to

parit

y w

ith c

omm

erci

al o

fferin

gs•

Bus

ines

s Ter

ms –

cat

egor

ies,

cate

gory

hie

rarc

hies

•H

as-a

, is-

a, ty

pe-o

f, sy

nony

m, a

nton

ym, a

rbitr

ary

rela

tions

hips

•A

sset

s map

ped

to B

usin

ess T

erm

s•

Cla

ssifi

catio

ns•

Hie

rarc

hy

•N

avig

able

map

ping

s to

reta

in a

bilit

y to

flat

ten

tags

to ra

nger

•In

stea

d of

hiv

e co

lum

n EM

P_SA

LARY

-> S

PI, n

ow c

an b

e EM

P_SA

LARY

-> S

ALA

RY ->

SPI …

•U

sed

to d

rive

gove

rnan

ce

•AT

LAS-

1410

Atla

s – o

ther

enh

ance

men

ts

•Co

nsum

er C

entri

c A

PIs

•O

pen

Met

adat

a A

cces

s Ser

vice

s (O

MA

S)

•RE

ST &

mor

e K

afka

not

ifica

tions

•A

sset

, Cat

alog

, Con

nect

or, G

loss

ary,

Gov

erna

nce

Act

ion,

Gov

erna

nce

Defi

nitio

ns,

Info

rmat

ion

View

, Rol

es a

nd A

cces

s

•Re

posit

ory

leve

l API

s•

Ope

n M

etad

ata

Repo

sitor

y Se

rvic

es (O

MRS

)

•RE

ST &

mor

e K

afka

not

ifica

tions

•Pl

ugga

bilit

y th

roug

h an

Ope

n Co

nnec

tor F

ram

ewor

k to

oth

er m

etad

ata

repo

sitor

ies –

distr

ibut

ed a

nd O

pen

•St

anda

rd d

ata

mod

el/c

ore

•En

hanc

emen

t to

core

mod

el –

ver

sioni

ng, e

xter

nal l

inka

ge e

tc

•M

ore

stand

ard

type

s ie

for a

ll re

latio

nal d

atab

ases

to e

ase

shar

ing

Ran

ger a

reas

bei

ng lo

oked

at

•B

uild

ing

a pl

ugin

for G

aian

DB

•A

cces

s con

trol,

sim

ple

mas

king

. Mor

e la

ter

•U

ser s

ynch

roni

zatio

n (la

rge

#use

rs, r

ole

of A

tlas)

•C

hang

es to

tag

sync

pro

cess

for N

ew g

loss

ary

prop

osal

•A

s mor

e m

etad

ata

goes

into

Atla

s, it

beco

mes

sour

ce fo

r gen

erat

ion

of so

me

kind

sof

pol

icie

s. W

here

is th

e m

aste

r?•

Gen

erat

ing

rang

er ru

les f

rom

gov

erna

nce

defin

ition

s

•H

ow a

bout

con

trol o

f acc

ess t

o A

tlas i

tsel

f?

•A

side

: Int

erfa

ces u

sed

by e

nfor

cem

ent e

ngin

es (s

uch

as to

get

cla

ssifi

catio

n da

ta)

need

to b

e ef

ficie

nt –

thes

e sh

ould

wor

k fo

r pro

ject

s lik

e A

pach

e Se

ntry

as w

ell a

sA

tlas

Beyo

nd th

e M

VP

•O

pen

Disc

over

y Fr

amew

ork

•Co

nsid

er o

ther

secu

rity

enfo

rcem

ent e

ngin

es –

such

as A

pach

e Se

ntry

& d

rivin

gm

ore

capa

bilit

y ar

ound

rule

s & g

over

nanc

e ac

tions

from

Atla

s met

adat

a•

Wor

k on

stan

dard

mod

els t

o su

ppor

t diff

eren

t dom

ains

•Li

neag

e•

From

hig

h le

vel d

esig

n lin

eage

thro

ugh

to o

pera

tiona

l det

ail.

Logs

vs g

raph

….

•A

PI m

etad

ata

•In

frastr

uctu

re –

Janu

sGra

ph…

•A

bstra

ctio

n ad

ded

by IB

M in

last

few

mon

ths f

or ti

tan

1

The

visi

on•

An

ente

rpris

e da

ta c

atal

og th

at li

sts a

ll of

you

r dat

a, w

here

it is

loca

ted,

its o

rigin

(lin

eage

),ow

ner,

stru

ctur

e, m

eani

ng, c

lass

ifica

tion

and

qual

ity•

Span

ning

syst

ems b

oth

on p

rem

ise

and

clou

d pr

ovid

ers

•H

oste

d lo

cally

to y

our d

ata

plat

form

s but

inte

grat

ed to

pro

vide

the

ente

rpris

e vi

ew

•N

ew d

ata

tool

s (fr

om a

ny v

endo

r) c

onne

ct to

you

r dat

a ca

talo

g ou

t of t

he b

ox•

No

vend

or lo

ck-in

; nor

exp

ensi

ve p

opul

atio

n of

yet

ano

ther

pro

prie

tary

silo

ed m

etad

ata

repo

sito

ry

•M

etad

ata

is a

dded

aut

omat

ical

ly to

the

cata

log

as n

ew d

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idea

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ppro

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