Amazon Neptune: a shot in the arm for the chart database?

Amazon Web Services (AWS) announced its entry to the graph database market at its AWS reINVENT summit in Seattle in November last year. It turned out to be a notable statement for a few reasons: it was the first graph database by the company (it offers a variety of relational and NoSQL databases as an agency ). However, it also shone a rather bright light onto a database group that’s frequently been considered niche, complex and expensive.

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Neptune is in trailer until it reaches general accessibility, but we expect that to happen shortly. So should you be bothered?

A graph database is one that uses graph structures to permit the data to be queried, using the concepts of nodes, edges and properties to represent and store data. The key concept is the fact that the graph immediately records the connections between various data items in the database. Since the graph links related items directly, it implies those that have a relationship with one another can often be recovered in one operation.

In relational databases, there aren’t any such immediate connections between related items as data is stored in rows and columns. To make a relationship between different elements developers need to write a’combine’. But joins can become excruciating and affect database performance.

The qualities of graph databases enable the straightforward and speedy retrieval of complex hierarchical arrangements that would be more challenging or even prohibitively time tested to model in relational databases.

The small disadvantage with graph databases is that they cannot easily be queried using the de facto querying language for relational databases, Structured Query Language (SQL). Not only that, but at the graph database planet there isn’t yet an equal de facto query language — there are a number of industry standard languages but there is very likely to be a shakeout of a number of these as graph databases become more popular and also a very clear winner maybe emerges.

Amazon says it constructed Neptune specifically for the cloud, which has its pluses and minuses. The downside is that there is not an on-premises version. The benefit though is that because of its economies of scale AWS tends to have the ability to provide decent value subscriptions. Much like additional AWS managed services Amazon Neptune is highly accessible, using read replicas, point-in-time retrieval, constant backup to Amazon S3, and replication across AWS Availability Zones.

It can save billions of connections and the graph could be queried with milliseconds latency. Neptune supports encryption at rest and in transit. As for that thorny problem of which query languages to support, AWS has hedged its bets with the choice of Apache Tinkerpop Gremlin or even SPARQL (Microsoft’s cloud graph that offers, Azure CosmosDB, supports Gremlin or even Gremlin-compatible languages like Apache Spark GraphX).

I would have liked to see the addition to both of Cypher, a language created by graph database leader Neo4j, as we think it has rather widespread adoption. Neo4j given this to the openCypher Project at 2015 and in Addition to Neo4j it has supported in SAP HANA Graph, Redis and AgensGraph databases.

Use cases and early adopters

Early adopters of Neptune are very likely to be present AWS users that have any or all their data in the cloud : AWS currently provides a range of databases such as relational and NoSQL choices.

Amazon envisages that Neptune will power graph use cases like recommendation motors, fraud detection, knowledge graphs, drug discovery, and network security. Safety is possibly the most typical area where graph databases have been pushed into action, but they’re also utilised in logistics, supply chain management, master data management, life sciences, e-commerce as well as the hospitality market.

Companies having a play Neptune in trailer include AstraZeneca, Thomson Reuters, Siemens, and the Financial Industry Regulatory Authority (FINRA). Amazon was looking into the way that it can use it in order to improve its own Amazon Alexa program.

I think AWS’ move into the graph database space is important for the industry. It will make it easier than ever for people to have a drama with a graph database . Using Neptune, you do not need to be concerned about hardware adware, software patching, installation, setup, or copies.

It is not that there are not other graph-as-a-service offerings, but few have the advantage of AWS. With so many companies currently having at least some of the data about AWS, this is a chance to see what a graph database can do for you.

There are too many graph databases to mention all of them here, but here is a selection of companies large and small (in alphabetical order) to add to all those mentioned previously. Most provide some type of pre-production free trial, which means it is possible to kick off the tyres before you jump right in.

AllegroGraph
ArangoDB
Graph Base
Graph Story
HypergraphDB
IBM
Oracle
Ontotext
OrientDB
Teradata
Titan

Have you got any experience of using databases? I would want to hear your thoughts in the comments section.

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IELTS Writing Compact Graph Review

Ramedani Alireza, IELTS Writing Compact Graph Review.     Very Best IELTS  Preparation Practice Book and Materials for Listening, Writing, Reading, and Speaking. Buy IELTS Materials Tricks. Practice more and enhance your score. IELTS Writing Compact Graph Review This book is the end result of over a decade of teaching IELTS writing abilities in Rah Pouyandegan Language School …

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Tipe Data Pada Database SQL

Tipe information digunakan untuk mendefinisikan suatu field atau kolom. Setiap kolom yang dibuat harus didefinisikan terlebih dahulu. Jenis — jenis tipe information ada bermacam — macam. Bisa numerik yang digunakan untuk angka dan proses perhitungan, bisa karakter / teks, tanggal atau Biner. Berikut ini Macam — macam tipe data yang digunakan di SQL :

1. Tipe Numerik

Tipe information numerik digunakan untuk menyimpan data numeric (angka). Ciri utama data numeric adalah suatu information yang memungkinkan untuk dikenai pengurangan, aritmatika seperti pertambahan, perkalian dan pembagian. Berikut ini tipe field (kolom) di MySQL yang termasuk ke dalam kelompok tipe numerik:

Penggunaan untuk menyimpan information bilangan bulat positif dan negatif.
Jangkauan  : -128 s/d 127
Ukuran       : 1 byte (8 bit)

Penggunaan untuk menyimpan information bilangan bulat positif dan negatif. .
Jangkauan  : -32.768 s/d 32.767
Ukuran       : 2 byte (16 bit).

Penggunaan untuk menyimpan information bilangan bulat positif dan negatif.
Jangkauan  : -8.388.608 s/d 8.388.607
Ukuran       : 3 byte (24 piece)

Penggunaan untuk menyimpan information bilangan bulat positif dan negatif.
Jangkauan  : -2.147.483.648 s/d 2.147.483.647
Ukuran       : 4 byte (32 bit).

Penggunaan untuk menyimpan information bilangan bulat positif dan negatif.
Jangkauan  : ± 9,22 x 1018
Ukuran       : 8 byte (64 bit)

Penggunaan untuk menyimpan information bilangan pecahan positif dan negatif         presisi tunggal.
Jangkauan  : 3.402823466E+38 s/d -1.175494351E-38, 0, dan 1.175494351E-38 s/d 3.402823466E+38.
Ukuran       : 4 byte (32 bit).

Penggunaan untuk menyimpan information bilangan pecahan positif dan negatif presisi ganda.
Jangkauan  : -1.79…E+308 s/d -2.22…E-308, 0, dan 2.22…E-308 s/d 1.79…E+308.
Ukuran       : 8 byte (64 bit).

Penggunaan untuk menyimpan information bilangan pecahan positif dan negatif.
Jangkauan  : -1.79…E+308 s/d -2.22…E-308, 0, dan 2.22…E-308 s/d 1.79…E+308.
Ukuran       : 8 byte (64 bit).

2.   Tipe Date dan Time

Information date dan time digunakan untuk menyimpan information tanggal dan waktu. Berikut ini tipe field (kolom) di MySQL yang termasuk ke dalam kelompok tipe date dan time:

Penggunaan untuk menyimpan information tanggal.
Jangkauan  : 1000-01-01 s/d 9999-12-31 (YYYY-MM-DD)Ukuran       : 3 byte.

Penggunaan : digunakan untuk menyimpan information waktu.
Jangkauan  : -838:59:59 s/d +838:59:59 (HH:MM:SS)Ukuran       : 3 byte.

Penggunaan untuk menyimpan information tanggal dan waktu.
Jangkauan: ‘ ‘1000-01-01 00:00:00’ s/d ‘9999-12-31 23:59:59’Ukuran       : 8 byte.

Penggunaan untuk menyimpan information tahun dari tanggal.
Jangkauan  : 1900 s/d 2155
Ukuran       : 1 byte.

3.   Tipe String (Text)

Tipe data series digunakan untuk menyimpan data series (text). Ciri utama data series adalah suatu information yang memungkinkan untuk dikenai operasi aritmatika seperti pertambahan, pengurangan, perkalian dan pembagian. Berikut ini tipe field (kolom) di MySQL yang termasuk ke dalam kelompok tipe series:

Penggunaan untuk menyimpan data series ukuran tetap.
Jangkauan   : 0 s/d 255 karakter

Penggunaan untuk menyimpan data series ukuran dinamis.
Jangkauan   : 0 s/d 255 karakter (versi 4.1), 0 s/d 65.535 (versi 5.0.3)

Penggunaan untuk menyimpan information text.
Jangkauan    : 0 s/d 255 karakter (versi 4.1), 0 s/d 65.535 (versi 5.0.3)

Penggunaan untuk menyimpan information text.
Jangkauan  : 0 s/d 65.535 (216 — 1) karakter

Penggunaan untuk menyimpan information text.
Jangkauan  : 0 s/d 224 — 1 karakter

Penggunaan untuk menyimpan information text.
Jangkauan  : 0 s/d 232 — 1 karakter

4. Tipe BLOB (Biner)

Information blob digunakan untuk information biner. Tipe ini biasanya digunakan untuk menyimpan biner dari suatu file object that is atau. BLOB merupakan singkatan dari Binary Large Object. Berikut ini tipe field (kolom) di MySQL yang termasuk ke dalam kelompok tipe blob:

Penggunaan untuk menyimpan information biner.
Jangkauan  : 64 Indicator biner

Penggunaan untuk menyimpan information biner.
Jangkauan  : 255 byte

Penggunaan untuk menyimpan information biner.
Jangkauan  : 216 — 1 byte

Penggunaan untuk menyimpan information biner.
Jangkauan  : 224 — 1 byte

Penggunaan untuk menyimpan information biner.
Jangkauan  : 232 — 1 byte

5. Tipe Data yang Lain

Selain tipe information di atas juga menyediakan tipe data. Data di MySQL mungkin akan terus bertambah seiring dengan perkembangan versi MySQL. Berikut ini beberapa tipe information tambahan MySQL:

Penggunaan : Enumerasi (kumpulan information).
Jangkauan  : Sampai dengan 65535 series.

Pengunaan : Blend (himpunan information).
Jangkauan : Sampai dengan 255 series anggotas

Graph Algorithms in Neo4j: Streamline Data Discoveries With Graph Analytics

Graph Algorithms in Neo4j: Streamline Data Discoveries With Graph Analytics

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Hortonworks Sandbox for HDP and HDF will be your chance to begin on learning, creating, testing and trying out new capabilities. Every  download  includes preconfigured with interactive tutorials, sample information and developments in the Apache community.

ICIJ Releases Neo4j Desktop Download of Paradise Papers

Getting Started With Apache Hadoop

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Vaikuta Facebook-julkaisun ulkoasuun Open Graph -tiedoilla

Uudet viimeisen hienot nettisivut vihdoin valmiit ja olet valmis julkistamaan sen maailmalle. Kirjoitat tai liität osoitteen Facebookin tekstikenttään ja klikkaat Julkaise.

Kauhuksesi huomaat, että julkaisuun ilmestyy joku aivan kamala kuva sivustoltasi tai kuva, jota ei pitäisi siellä edes olla tai joissain tapauksissa ei kuvaa lainkaan. Kuvan alle ilmestyvät tekstitkin ovat mitä kummallisempia litanioita eikä niissä ole myynnillisyyden palaakaan. Uudet upeat nettisivusi näyttäytyvät Facebookin sekasotkuna.

Tarkista sivustosi Open Graph -tiedot

Facebook hakee Graph eli OG-tiedoista Opens. Mikäli et ole tietojen eteen mitään, on data vain satunnaisia otoksia sivustoltasi. Facebook kehitti Open Graphin vuonna 2010. Sen tarkoitus on helposti löydettäviä, yhtenäisiä tietueita nettisivujen ja Facebookin välillä ja niiden avulla Facebook luo jokaisesta sivustosta samanmuotoisen julkaisun. Sittemmin myös muut sosiaalisen median alustat ovat ottaneet OG-tiedot hyötykäyttöön.

Tietoja haetaan ja näytetään sivustoilta tietyssä järjestyksessä. Järjestyksen ymmärtämällä voi päätellä, onko isommille muokkauksille tarvetta jokaisen sivun kohdalla vai näkyykö sivu oikein ns. perusasetuksilla. Esimerkiksi sivustosi näyttämä, Facebook-julkaisun yhteydessä näkyvä OG-kuva (og:picture) haetaan käyttäen seuraavaa järjestystä:

  1. Sinun asettamasi Facebook OG-kuva
  2. Artikkelikuva
  3. Muut sivulla käytetyt kuvat
  4. Kuva Embedly tai Getty -palveluista, jos niitä on käytetty sivustolla
  5. Oletusarvoinen lisäosan avulla asetettu OG-kuva (ohje tämän artikkelin lopussa)
  6. Ei kuvia = ei kuvaa

WordPress-sivuston Open Graph -tietojen muuttaminen Yoast SEO -lisäosan avulla

Asenna sivustollesi Yoast SEO -lisäosa ja ota se käyttöön https://www.zoner.fi/paranna-wordpress-sivuston-hakukonenakyvyytta-seo-lisaosan-avulla/ ellet ole jo asentanut sitä aiemmin. Keskitymme nimenomaan OG-tietojen muokkaukseen, mutta kannattaa tutustua linkin takaa myös muihin ominaisuuksiin that is lisäosan.

1. Yoast SEO -laatikko

Mene sivun muokkaustilaan ja etsi Yoast SEO -laatikko. Se on teemasta riippuen joko tekstieditorin ylä- tai alapuolella.

Laatikon vasemmassa reunassa näkyvät Yoastille tyypilliset liikennevalot, jakamisen ja asetuksia merkkaava rataskuvake. Klikkaa jakamisen kuvaketta.

2. Facebook-julkaisut

Syötä tiedot, jotka haluat näkyviin, kun ko. sivu jaetaan Facebookissa. Voit halutessasi määrittää Twitteriin omat tietonsa.

  • Facebook Title = Facebook-julkaisun otsikko.  Jos kohdan tyhjäksi Facebook tähän ko. sivun otsikon
  • Facebook Description = Otsikon alle tuleva teksti.  Jos kohdan tyhjäksi Facebook tähän ko. Tai sen puuttuessa osan sivun teksteistä sisältäen myös mm. Artikkelin päivämäärä- ja kirjoittajatiedot
  • Facebook Image = Julkaisun kuva.   Määritä, mikä kuva julkaisussa näkyy. Suosituskoko on 1200 x 630px. Jos kohdan tyhjäksi Facebook tähän artikkelikuvan tai satunnaisen, sopivan kokoisen kuvan sivustoltasi.

3. Tallenna muutokset

Lopuksi tallenna muutokset painamalla Päivitä painiketta.

WordPress-sivuston oletusarvoisen OG-kuvan asettaminen

Jos varmistaa, että sivustosi sivu näyttää jaettaessa parhaan mahdollisen kuvan, mutta et jaksa käydä jokaista sivua erikseen läpi, mikäli toista ei ole määritetty, voit asettaa sivustolle kuvan joka näytetään julkaisussa automaattisesti.

Simple Facebook OG Image https://fi.wordpress.org/plugins/simple-facebook-og-image/  on helppo ja yksinkertainen lisäosa, jonka avulla asetat ns. hätävarakuvan.

Lisäosan asentamisen jälkeen löydät lisäosan asetukset valikkokohdasta Asetukset — Simple Facebook OG Image.

Kohtaan Default Image ladataan oletusarvoinen OG-kuva ja Tallennetaan muutokset.

Spacious Graph -tietoja voi muokata avulla. Lisätietoja löytyy vaikkapa täältä http://ogp.me/

Kerro muutoksista myös Facebookille

Hakurobotit vierailevat sivustoilla kohtuullisen harvoin ja siksi tehdyistä muutoksista pitää ilmoittaa, jotta ne tulevat voimaan heti. Kutsu siis “raapijat” kylään käyttämällä Facebookin Sharing Debugger https://developers.facebook.com/tools/debug/sharing/ -työkalua.

Syötä sivustosi osoite kohtaan Enter an URL to view data that’s utilized when it’s shared on Facebook ja klikkaa Debug. Jos kyseessä on osoite, jota ei ole vielä jaettu Facebookissa, saat siitä ilmoituksen. Klikkaa ilmoituksesta nappulaa Fetch New Information.

Ja tiedot, jotka Facebookilla on sivustostasi tällä hetkellä. Kuinka kauan edellisestä tietojen tarkistuksesta was Scraped on by Kohdasta Time on. Klikkaa Scrape Again saadaksesi Facebookin hakemaan tiedot uudestaan.

Sivu päivittyy ja nyt tietojen pitäisi vastata juuri tekemiäsi muutoksia. Tee Scrape again aina kaikkien muutosten jälkeen, niin uusissa Facebook-julkaisuissa on varmasti oikeat tiedot. Näy vanhoissa, ennen muutoksia tehdyissä julkaisuissa.

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