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Getting Started with Vault

Nancy JainJuly 15, 2019July 16, 2019API's, Other, Scala, software, Tutorial, Web, Web Application#java, credential management, HasiCorp, Introduction, learning, opensource, programming, scala, Secret management, technology, vault, vault api, vault CLI, vault dev server

HashiCorp Vault is a secret management tool which provides a secure and reliable way to store secrets like passwords, access token, secret API key etc.

There are applications that need to interact with third party services and for that it needs various credentials. There are scenarios in which we need different credentials to process different requests. So, where will you store them? Can you really hard-code them and publish them to your sub-versioning tool? Ofcourse not. This is not a recommendable approach.

TensorFlow with Keras part 2 using Case Study

Shubham DangareJuly 15, 2019July 15, 2019Scaladeep learning, keras, TensorFlow

This blog is in continuation to Part1, Tensorflow for deep learning. Make sure you go through it for a better understanding of this case study. Keras is a high-level neural networks API, written in Python and capable of running on top of Tensorflow, CNTK or Theano. It was developed with a focus on enabling fast experimentation. In this blog, we are going to cover one Continue Reading

Introduction to vavr(A functional library for Java)

Deepak MehraJuly 14, 2019July 17, 2019Java, Non-Blocking, Scala#java, functional programing, Getting Started, Introduction, Java8, programming

This post talks about the vavr which is a functional library for Java8

Big Data Evolution: Migrating on-premise database to Hadoop

Divyansh JainJuly 11, 2019July 11, 2019Apache Spark, Big Data and Fast Data, HDFS, Scala, TableauAnalytics, apache hadoop, Apache Hive, Apache Spark, Big Data, Big Data Analytics, data analysis, Hadoop, Hadoop Distributed File System, HDFS, Hive, MySql, NoSql Database, Spark, Spark with Scala, Tableau

We are now generating massive volumes of data at an accelerated rate. To meet business needs, address changing market dynamics as well as improve decision-making, sophisticated analysis of this data from disparate sources is required. The challenge is how to capture, store and model these massive pools of data effectively in relational databases. Big data is not a fad. We are just at the beginning Continue Reading

Retrieve DHCP Logs using Rust Programming

Pawan BishtJuly 9, 2019July 9, 2019RustRust

The Dynamic Host Configuration Protocol (DHCP) is a network management protocol used on UDP/IP networks. DHCP server dynamically assigns an IP address to devices in the network.

Scala: Extractors and Pattern Matching

Ayush HoodaJuly 9, 2019July 17, 2019Big Data and Fast Data, Functional Programming, Scalaextractors, Pattern Matching, scala, unapply

An extractor in Scala is an object which has an unapply method as one of its members. Often, the extractor object also defines a method apply for building values, but this is not required. An apply method is like a constructor which takes arguments and creates an object, the unapply method takes an object and tries to give back the arguments. The unapply method reverses the construction procedure of the Continue Reading

Spring Boot WebClient and it’s testing

Deepak MehraJuly 9, 2019July 17, 2019Java, Microservices, Non-Blocking, Reactive Application, Reactive Programming, Scala, Web, Web Application, Web Servicesprogramming, Reactive Programming, Spring, springboot

This post talks about the Spring5’s WebClient feature to make calls to external APIs. Also, how unit test case are written for SpringBoot Webclient.

Scala Traits – Let’s mix it up a bit

Anmol SarnaJuly 7, 2019July 7, 2019Functional Programming, Java, Scala, Tutorialabstract classes, functional programing, ScalaTraits, stackable modification, Traits, traits mixin

Scala has way too many unique features that have always stunned the developers worldwide. Some of its features like Lazy evaluation, case classes, etc. have totally changed the coding standards for good. In this blog today, we will be taking you on a small tour to one of these unique and mesmerizing features that Scala has in store for its users i.e Scala Trait Mixin. Continue Reading

Access multiple couchbase buckets from a Reactive Spring Boot application

Rishi KhandelwalJuly 3, 2019July 3, 2019Scala

A few days ago, I got a situation where I needed to access more than one couchbase bucket from a single reactive spring boot (Spring Web-flux) application. It is all about configuration. So, first of all, we will see how we can access a single couchbase bucket and then will move forward to access multiple buckets. Access Single bucket: To access a single bucket, we Continue Reading

Using Vertica with Spark-Kafka: Write using Structured Streaming

Anuj SaxenaJuly 3, 2019July 16, 2019Apache Kafka, Apache Spark, Big Data and Fast Data, Functional Programming, HDFS, Scala, Spark, Streaming, Streaming SolutionsApache Kafka, Apache Spark, DataFrame, Kafka Spark, Spark, Spark SQL, spark sql kafka, Spark Structured Streaming, Spark to Vertica, Streaming, Structured Streaming, Vertica, Write to vertica

In two previous blogs, we explored about Vertica and how it can be connected to Apache Spark. The first blog in this mini series was about reading data from Vertica using Spark and saving that data into Kafka. The next blog explained the reverse flow i.e. reading data from Kafka and writing data to Vertica but in a batch mode. i.e reading data from Kafka Continue Reading

Using Vertica with Spark-Kafka: Writing

Anuj SaxenaJuly 2, 2019July 16, 2019Apache Kafka, Apache Spark, Database, HDFS, Scala, SparkApache Kafka, Apache Spark, kafka, Spark, Spark Kafka vertica, Spark SQL, spark sql kafka, Spark vertica, Vertica, Write to vertica

In previous blog of this series, we took a glance over the basic definition of Spark and Vertica. We also did a code overview for reading data from Vertica using Spark as DataFrame and saving the data into Kafka. In this blog we will be doing the reverse flow i.e. working on reading the data from Kafka as a DataFrame and writing that DataFrame into Continue Reading

Using Vertica with Spark-Kafka: Reading

Anuj SaxenaJuly 2, 2019July 8, 2019Apache Kafka, Apache Spark, Big Data and Fast Data, Database, Scala, SQLApache Kafka, Apache Spark, Database, kafka, Spark, Spark SQL, spark sql kafka, Vertica

We live in a world of Big data where the size of data is so big even for small results. This is the result of an increase in data collection on a rapid scale in the modern world. This massiveness of data brings the requirements of such tools which can work upon such a big chunk of data. I am pretty sure that you guys Continue Reading

Scala 2.13: Has Scala done it again?

Anmol SarnaJuly 1, 2019July 1, 2019Functional Programming, Scala#new features, deprecations, functional programing, latest version, scala, scala 2.13, updates

The release of Scala 2.13 had been in talks for quite a long time, but it was finally released last month, i.e June 2019. With the release of this version, there are quite a few changes that Scala has brought for the users. With the intent of explaining some of the features that Scala has introduced/improved in its latest version I, Anmol Sarna, welcome back the Continue Reading

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