LinkedIn Sales Navigator Reviews

Amazon EMR Reviews

LinkedIn Sales Navigator mentions (4)

• LinkedIn

  Try Sales Nav tool. Simple to integrate https://business.linkedin.com/sales-solutions/sales-navigator. Source: 12 months ago

• LinkedIn Premium

  Skip Premium and get Navigator. It's an easy tool to find the power within a company, engage leaders, and get more robust company information/news. I use this on a regular basis to engage my peers within our clients and stay on top of their company news - https://business.linkedin.com/sales-solutions/sales-navigator. Source: about 1 year ago

• How to Automate LinkedIn to Get Rid of the Boring Stuff

  If you’re using LinkedIn for business purposes, you’ll likely want to start by finding people who could benefit from your products or services. Since you’ll likely be looking for people in a specific industry or who work in a specific field, you can use tools like LinkedIn’s advanced search feature or LinkedIn Sales Navigator to search for people based on their name, industry or location. Once you’ve found the... - Source: dev.to / over 1 year ago

• LinkedIn is a cringefest but it works for B2B startups - Here's what you need to do to generate leads and get clients

  Https://business.linkedin.com/sales-solutions/sales-navigator - LinkedIn Sales Navigator is worth it for the search functionality. The LSN messages are worth close to zero. They just don't convert. So I wouldn't recommend buying it if you wanted to send more messages. Source: about 3 years ago

Amazon EMR mentions (10)

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago

• What compute service i should use? Advice for a duck-tape kind of guy

  I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

• Processing a large text file containing millions of records.

  This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago

• How to use Spark and Pandas to prepare big data

  Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

• Beginner building a Hadoop cluster

  Check out https://aws.amazon.com/emr/. Source: about 2 years ago