Apache Spark

Big Data Evolution: Migrating on-premise database to Hadoop

Divyansh JainApache Spark, Big Data and Fast Data, HDFS, Scala, Tableau, , , , , , , , , , , , , , ,

Reading Time: 4 minutes 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

Using Vertica with Spark-Kafka: Write using Structured Streaming

Anuj SaxenaApache Kafka, Apache Spark, Big Data and Fast Data, Functional Programming, HDFS, Scala, Spark, Streaming, Streaming Solutions, , , , , , , , , , , ,

Reading Time: 3 minutes 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 SaxenaApache Kafka, Apache Spark, Database, HDFS, Scala, Spark, , , , , , , , ,

Reading Time: 4 minutes 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 SaxenaApache Kafka, Apache Spark, Big Data and Fast Data, Database, Scala, SQL, , , , , , ,

Reading Time: 4 minutes 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

Do you really need Spark? Think Again!

RamandeepApache Spark, Big Data and Fast Data, Functional Programming, ML, AI and Data Engineering, Scala, Spark, Tech Blogs, , , , , ,

Reading Time: 5 minutes With the massive amount of increase in big data technologies today, it is becoming very important to use the right tool for every process. The process can be anything like Data ingestion, Data processing, Data retrieval, Data Storage, etc. Today we are going to focus on one of those popular big data technologies i.e., Apache Spark. Apache Spark is an open-source distributed general-purpose cluster-computing framework. Spark Continue Reading

Spark Streaming vs. Structured Streaming

Anuj SaxenaApache Spark, Big Data and Fast Data, Scala, Spark, Streaming, Streaming Solutions, , , , ,

Reading Time: 6 minutes Fan of Apache Spark? I am too. The reason is simple. Interesting APIs to work with, fast and distributed processing, unlike map-reduce no I/O overhead, fault tolerance and many more. With this much, you can do a lot in this world of Big data and Fast data. From “processing huge chunks of data” to “working on streaming data”, Spark works flawlessly in all. In this Continue Reading

kafka with spark

Apache Spark 2.4: Adding a little more Spark to your code

Anmol SarnaApache Spark, Java, Scala, Spark, Streaming, , , ,

Reading Time: 5 minutes Continuing with the objectives to make Spark faster, easier, and smarter, Apache Spark recently released its fifth release in the 2.x version line i.e Spark 2.4. We were lucky enough to experiment with it so soon in one of our projects. Today we will try to highlight the major changes in this version that we explored as well as experienced in our project. In our Continue Reading

Spark Structured Streaming with Elasticsearch

Anuj SaxenaApache Spark, Big Data and Fast Data, Elasticsearch, Scala, Streaming, Streaming Solutions, , , ,

Reading Time: 3 minutes There’s been a lot of time we have been working on streaming data. Using Apache Spark for that can be much convenient. Spark provides two APIs for streaming data one is Spark Streaming which is a separate library provided by Spark. Another one is Structured Streaming which is built upon the Spark-SQL library. We will discuss the trade-offs and differences between these two libraries in Continue Reading

CuriosityX: RDDs – The backbone of Apache Spark

Anmol SarnaApache Spark, HDFS, Java, Scala, Spark, , , , , ,

Reading Time: 5 minutes In our last blog, we tried to understand about using the spark streaming to transform and transport data between Kafka topics. After reading that many of the readers asked us to give a brief description of RDDs in Spark which we used. So, this blog is totally dedicated to the RDDs in Spark. So let’s start with the very basic question that comes to our mind Continue Reading

They said Spark Streaming simply means Discretized Stream

Nitin AggarwalApache Spark, Scala, Spark, , , ,

Reading Time: 3 minutes I am working in a company (Knoldus Software LLP) where Apache Spark is literally running into people’s blood means there are certain people who are really good at it. If you ever visit our blogging page and search for stuff related to spark, you will find enough content which is capable of solving your most of spark related queries, starting form introductions to solutions for Continue Reading

Difference between Apache Hadoop and Apache Spark Mapreduce

Geetika GuptaApache Spark, Big Data and Fast Data, Scala, , , , ,

Reading Time: 4 minutes The term Big Data has created a lot of hype already in the business world. Hadoop and Spark are both Big Data frameworks – they provide some of the most popular tools used to carry out common Big Data-related tasks. In this blog, we will cover what is the difference between Apache Hadoop and Apache Spark MapReduce. Introduction Spark – It is an open source Continue Reading

spark streaming with kafka

Assimilation of Spark Streaming With Kafka

Charmy GargApache Kafka, Apache Spark, Scala, , ,

Reading Time: 2 minutes As we know Spark is used at a wide range of organizations to process large datasets. It seems like spark becoming main stream. In this blog we will talk about Assimilation of Spark Streaming With Kafka. So, lets get started. How Kafka can be integrated with Spark? Kafka provides a messaging and integration platform for Spark streaming. Kafka act as the central hub for real-time streams of Continue Reading

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