With opiate addiction on the rise, methadone treatment is becoming a bigger business and affecting more communities. When assessing an injury case relating to methadone treatment in any way, there are a few common threads to consider. PowerPoint from the Robins Kaplan Trial Advocacy Seminar, October 2016
With opiate addiction on the rise, methadone treatment is becoming a bigger business and affecting more communities. When assessing an injury case relating to methadone treatment in any way, there are a few common threads to consider. PowerPoint from the Robins Kaplan Trial Advocacy Seminar, October 2016
The term "Data Lake" has become almost as overused and undescriptive as "Big Data". Many believe that centralizing datasets in HDFS makes a data lake, but then they struggle to realize any tangible value. This talk will redefine the "Data Lake" by describing four specific, key characteristics that we at Koverse have learned are crucial to successful enterprise data lake deployments. These characteristics are 1) indexing and search across all data sets, 2) interactive access for all users in the enterprise, 3) multi-level access control, and 4) integration with data science tools. These characteristics define a system that lets people realize value from their data versus getting lost in the hype. The talk will go on to provide a technical description of how we have integrated several projects, namely Apache Accumulo, Hadoop, and Spark, to implement an enterprise data lake with these key features.
The term "Data Lake" has become almost as overused and undescriptive as "Big Data". Many believe that centralizing datasets in HDFS makes a data lake, but then they struggle to realize any tangible value. This talk will redefine the "Data Lake" by describing four specific, key characteristics that we at Koverse have learned are crucial to successful enterprise data lake deployments. These characteristics are 1) indexing and search across all data sets, 2) interactive access for all users in the enterprise, 3) multi-level access control, and 4) integration with data science tools. These characteristics define a system that lets people realize value from their data versus getting lost in the hype. The talk will go on to provide a technical description of how we have integrated several projects, namely Apache Accumulo, Hadoop, and Spark, to implement an enterprise data lake with these key features.
Información técnica para el desarrollo de un taller de pintura creativa. Presento variada información sobre los elementos básicos de la pintura: obtención de pinturas, aditivos, instrumentos, soportes y técnicas a emplear.
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2. Cubrir la masa que no se utiliza
para que no se seque. Podemos
utilizar papel film, bolsas
plásticas y si se desea guardar la
masa por tiempo prolongado
colocarla envuelta en
recipientes herméticos.
3. Para dar color, coloca un poco de pintura sobre la pasta
y amasa para que se distribuya. Ten en cuenta que al
secar, oscurece y que si te excedes, la pasta se agrietará
al secarse.
Sólo tiñe la pasta que vayas a utilizar, porque una vez
teñida su duración se acorta.
Le podemos dar color con óleos, acrílicos, témperas o
colorantes vegetales.
4. Las esferas de telgopor se usan para que
los trabajos queden mas livianos y no
usar tanta masa.
Cuando usamos telgopor o polifam en
plancha, éstos tienen que ser de alta
densidad y siempre forrarlo de ambos
lados para evitar que se arquee.
Se pega con cola vinílica.
5. Si se necesita una masa más firme dejar orear la misma
amasando periódicamente para evitar que forme una
capa muy gruesa la cual generaría grumos al amasarla.
Para que al estirar la masa con el palo no se adhiera a la
superficie de trabajo, rociar la misma comuna pequeña
cantidad de rocío vegetal.
6. Dejar secar en contacto con el aire sin darle calor.
El tiempo aproximado, para el completo secado de las
piezas, es de un día.
Tener en cuenta que al secarse el color oscurece y se
reduce de un 10 a un 15%
Para proteger el trabajo usar barniz acrílico mate una
vez que estén secas todas las piezas.