Business Platform Team

Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.

Apache Cassandra Lunch #65: Spark Cassandra Connector Pushdown

In Apache Cassandra Lunch #65: Spark Cassandra Connector Pushdown, we discussed Spark predicate pushdown in the context of the Spark Cassandra connector. The live recording of Cassandra Lunch, which includes a more in-depth discussion and a demo, is embedded below in case you were not able to attend live. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at 12 PM EST. Register here now!

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Market Analysis of Anant's Competitors Cover Slide

Market Analysis of Anant’s Competitors

Introduction

In this blog post, we introduce two of Anant’s competitors in different areas of Anant’s mission. As Anant is focusing its internal efforts to become a product with users rather than a company with clients, one of the competitors that emerge are Sunan Designs, a design consultancy firm that offers graphic design and digital marketing support. Sunan Designs is an example of the direction that Anant is looking to progress towards. Their user-focused model is built to be service-oriented with the various payment options they present. A second competitor company of ours is Turing Enterprises, a company that assists people in hiring software developers using Turing’s Intelligent Talent Cloud. Given Anant’s role in building and developing data platforms for companies, Turing offers a similar service in a direction that we can continue to grow in. 

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Five ways to benefit from IoT in eCommerce cover slide

Five Ways to Benefit from IoT in eCommerce

CTO of Onilab Alex Husar, writes about five benefits of using IoT in eCommerce and how Cassandra can be a solution to the data requirements of setting up IoT infrastructure.

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An Overview and Comparison of Datastax Dependencies for Cassandra, Spark and Graph

If you like wrestling with dependencies and version incompatibility issues as much as I do, then this post is for you! This post arises out of a project requiring execution of Gremlin traversals using multiple query APIs, and from both a DSE Graph Analytics cluster and an external Spark cluster at the same time. What we found is that keeping all the different available DSE libraries straight wasn’t always easy. The goal of this blog post is to summarize what we learned from the project so that others can know which library to use and why, particularly when using Spark and Graph with Cassandra. We will look at seven libraries, including DSE Java Driver, OSS Unified Java Driver, dse-java-driver-graph, OSS Spark Cassandra Connector, DSE GraphFrames, BYOS, and dse-spark-dependencies.

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Data Engineer’s Lunch #41: PygramETL

In Data Engineer’s Lunch #41: Pygrametl, we discussed PygramETL, a python ETL tool. This is the end for now of our series on them. The live recording of the Data Engineer’s Lunch, which includes a more in-depth discussion, is also embedded below in case you were not able to attend live. If you would like to attend a Data Engineer’s Lunch live, it is hosted every Monday at noon EST. Register here now!

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