Modeling your data for analytics with Apache Cassandra and Spark SQL

This session is intended for those looking to understand better how to model data for queries in Apache Cassandra and Apache Cassandra + Spark SQL. The session will help you understand the concept of secondary indexes and materialized views in Cassandra and the way Spark SQL can be used in conjunction with Cassandra in order to be able to run complex analytical queries. We assume you are familiar with Cassandra & Spark SQL (but it’s not mandatory since we will explain the basic concepts behind data modeling in Cassandra and Spark SQL). The whole workshop will be run in Cassandra Query Language and SQL and we will use Zeppelin as the interface towards Cassandra + Spark SQL.

Date: 10 June, 9:00 – 13:30 – this workshop will be rescheduled
Trainers: Felix Crisan, Valentina Crisan
Location: eSolutions Academy, Budişteanu Office Building, strada General Constantin Budişteanu Nr. 28C, etaj 1, Sector 1, Bucureşti.
Number of places:  15
Price: 150 RON (including VAT)

Check out the agenda and register for future session here.

Data Analytics with BigQuery

BigQuery is generally seen as a “fast and fully-managed enterprise data warehouse for large-scale data analytics”. The workshop is designed to go through all the concepts of Big Query and to provide a seamless start into using BigQuery. After this workshop you will be able to start a real project with BigQuery.

Date: 13 Mai, 9:30 – 14:00
Trainer: Gabriel Preda 
Location: eSolutions Academy, Budişteanu Office Building, strada General Constantin Budişteanu Nr. 28C, etaj 1, Sector 1, Bucureşti.
Number of places: 15, no more places left
Price: 150 RON  including  VAT

Check out the agenda and register here

Analytics with Cassandra and Spark SQL Workshop

We continue the series of Spark SQL and Cassandra with more hands on exercises on the integration between the 2 solutions, working on open Movielens data. This workshop addresses those who know the basics of Cassandra & CQL and have SQL knowledge. Spark is not mandatory, although would be good to know it’s basic concepts ( RDD, transformations, actions) since we will not address these concepts in the workshop but we will mention them in several occasions. Without Spark basic concepts you will still understand the aggregations that can be done at Spark SQL level but you will not fully understand how Spark SQL integrates in the whole Spark system.
 In this workshop you will understand the optimal way of making queries in a solution composed of Apache Cassandra and Apache Spark.
Prerequisites: Cassandra Concepts knowledge, SQL knowledge

Trainers: Felix Crisan, Valentina Crisan
When: 22 April
Time: 9:30-14:00
Location: eSolutions Academy, Budişteanu Office Building, strada General Constantin Budişteanu Nr. 28C, etaj 1, Sector 1, Bucureşti.
Number of places: 15 5 places left
Price: 125 RON  including  VAT

Check out the agenda and register here.

Analytics with Cassandra and Spark SQL Workshop

For those that learned about Apache Cassandra, you have realized so far that Cassandra it’s a storage and pre-aggregation layer, thus a computational layer should exist in order to complete the queries we would like to run on our data. In this workshop we will look at the analytics that can be done on top of Cassandra with Spark SQL, we will start with similar examples in CQL and Spark SQL and we will evolve into examples that can only be run with Spark SQL.

Trainers: Felix Crisan, Valentina Crisan
When: 18 March
Time: 9:30-14:30
Location: eSolutions Academy, Budişteanu Office Building, strada General Constantin Budişteanu Nr. 28C, etaj 1, Sector 1, Bucureşti.
Number of places: 15   no more places left
Price: 125 RON  including  VAT

There are no more places left for this session, but you can check out the agenda and register here and we’ll keep you informed if places become available.

Spark Intro and Machine Learning workshops

Spark and Machine Learning workshops day on March 12, at TechHub:

1. 9:00 – 12:30 – Getting started with Spark: intro and hands on session (20 places)

2. 13:00 – 16:30 ML & Spark: MLlib intro and exercises (15 places)

Registration should be made separately for each workshop.

1. Getting started with Spark: intro and hands on session, in the limit of 20 places

Spark is the new trend in big data technologies, offering us an easy API and multiple environments to work with, like Batch, SQL, Graph, Machine Learning and Streaming processing.

The workshop will start with an introduction in Spark and will continue with many Spark examples, including the well known Wordcount example.

You have the option to choose the programming language you are most familiar with, so the examples will be written and explained in Java, Scala and Python (to be confirmed the Java one).

We will try all Spark examples in local mode, so all you need is your own laptop. The major benefit of this is that you can continue learning and try new examples even after the workshop.

Trainer :Tudor Lapusan

Agenda and Sign up for Intro to Spark

2. ML & Spark: MLlib intro and exercises, in the limit of 15 places

Description: Theoretical understanding of various ML algorithms: RandomForest, Clustering.

What you will learn: How to solve ML problems using Spark and MLLib (ml library on top of spark).

TRAINER: ALEX SISU

Agenda and Sign up for ML & Spark